ISSE HYDERABAD CHAPTER









































 

 

 

 

 

 

 

 Contributed Papers

Abstracts

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 Systems Engineering Role and Importance in Weapon Development

                                                                    G. Naresh Kumar

Defence industry is involved in numerous weapon development programs to meet the requirement armed forces. Aerospace platforms, underwater systems and other major systems often comprise a large number of interacting subsystems that have to collectively satisfy a set of specified goals. Moreover, these requirements often evolve throughout the development cycle and improvements during the life of the system. Additionally, these may be contradicting requirements. Systems Engineering (SE) provides designers the capability to manage complex relationships within a subsystem design and across the rest of the subsystems. Systems engineering ensures that, the primary system complies with the most challenging requirements from concept development through production and then the extended service life.

The purpose of this article is to share my experience in Systems engineering during the design and development phase of weapon systems. The concept of connectivity diagram is used here.

 

System Engineering Challenges in Development of LOX-Isro sene Booster Stage for Future Launch Vehicle of ISRO


B Suresh Babu, Reji Joseph, and S Jagannathan

 

Liquid Propulsion Systems Centre (LPSC) of ISRO is pioneer in the design and development of liquid propulsive stages. It has undertaken development of Semi-Cryogenic propulsion stage, which will be the largest liquid stage developed so far. The stage with Liquid Oxygen (LOX) and Kerosene based fuel (Isro sene) as its main propellants helps to enhance the payload of GSLV MkIII launcher to beyond 5 tones. Design of liquid propulsion stage is complex as it involves components like valves, regulators, flow control devices, functional modules and control sub systems. A typical liquid propulsion stage will have more than 25 sub-systems, each having its own set of components, operating conditions and specification. Systems engineering plays major role in development and realization of such complex Liquid Propellant stages of launch vehicle. Major challenges that are anticipated during mechanical design and development of the LOX-Isro sene (semi-cryogenic) stage are handling large temperature gradients between propellant tanks, its unique storage as well as assembly requirements and management of thermal stresses in adjacent structures. It also warranted the need of combining the system engineering practices followed for Cryogenic and Earth Storable liquid propellant stages, without compromising on the sub system performance. The Semi-Cryogenic stage being developed is planned as a replacement of core booster stage of GSLV-MkIII, heaviest launcher developed by ISRO so far. Though this method reduces development time and cost, it induced additional constraints on the stage development. System engineering practices are utilized for complete assessment of stage systems and for finalization of system configuration with an objective of reduction in development time, cost and without any changes in the remaining systems of the launch vehicle. This paper presents the relevance of systems engineering for launch vehicle development, complexities involved in design and development of Semi-Cryogenic liquid propellant stage and solution strategies implemented for overcoming the design challenges with selected examples.

 

Design and mathematical modeling of Fuel Feed System for Dual Fuel Scramjet

Kesava Vishnu G, Vishnu Suresh Nair, Anoop V M, Arun G S, Kuldeep Singh Naruka

 

A Fuel Feed System (FFS) is designed to supply fuels for a Dual Fuel Scramjet engine. The system design is carried out based on the operational requirements of flow rate, pressure, duration within the envelope constraints. The scramjet engine consists of an effervescent injector with liquid hydrocarbon as the main fuel. Gaseous Hydrogen is used for pilot ignition and for emulsifying the liquid hydrocarbon. Hydrogen gas for both the requirements are met through a single source and supply system. The liquid hydrocarbon storage system consists of a standalone propellant tank with positive expulsion device and cavitating venturis. Mathematical modelling is done on the system and from the model outputs, the operational efficacy of the feed system throughout the flight duration is ensured.

 

Monte Carlo Based Tolerance Analysis of Sub-systems in Cryogenic Umbilicals

Jishnu T R, Vaibhav Amalak Ahire, Hemendra Kumar Dhurandher, Dilip V, Sathis Kumar B, Alex A

 

The space reforms in India have opened up the space market and in turn opened a window of opportunity for entry of private players into the market. The vision of Indian Space Research Organisation (ISRO) is to change the supply-based model of space sector to demand-based model. To capture the foreign and domestic launch vehicle market, the building costs of the launch vehicle needs to be optimised. The concepts of lean manufacturing, design optimisation, topology optimisation etc., need to be brought in at the design phase to achieve this while mass manufacturing is planned for the launch vehicles. Dimensional Tolerance analysis have been extensively used in mass manufacturing industries to model how the deviations in part level are propagating to assembly. Though computationally expensive, Monte Carlo method is one of the most common tools used for this analysis. Based on a Probability Distribution Function (PDF), number of part dimensions are generated within the tolerance band and the distribution of assembly parameter is evaluated based on geometrical dependency. The sensitivity of dimensional/ geometrical tolerances on assembly critical parameters can be effectively studied by this method. Fluid Control Components in launch vehicles employ a large number of fabricated parts and the assembly of these elements to form a sub-assembly will bring out huge number of critical assembly parameters. Not achieving these specifications can cause hardware rejection, thus increasing the cost of production & delay in project schedule. This study presents the tolerance analysis of certain sub-assemblies used in cryogenic umbilical systems employed in ISRO. The sensitivity analysis of geometrical parameters also presented. These results can of paramount importance to fine tune the design & fabrication drawings at the time of mass manufacturing of parts.

 

Novel Design of a Joint with Translational Freedom for Propellant Tank Anti-Slosh Baffle System

Deepak K*, Jayesh P, Ravi Ranjan Kumar and Reji Joseph

 

Launch vehicles stages are fuelled by different propellants at ambient and cryogenic temperatures, which are stored in propellant tanks. The propellant tanks are subjected to pressure, structural, aerodynamic, thermal and slosh loads. Anti-slosh baffles are provided inside propellant tanks to provide adequate slosh suppression. These baffles are mounted inside tanks within limited space, along with other internal systems. The pressure and structural loads induce axial dilation of propellant tanks and rotation of end rings. Axial freedom at baffle mounting joints is required to reduce the mechanical reaction loads at the joints caused by tank deformation, under pressure and axial loads. The anti-slosh baffle joints should have sufficient freedom to manage such tank dilations, which is achieved by providing translational freedom to the joints, without compromising the structural integrity. Conventional joints with translational freedom have complex joining procedure, demand space and access requirement. Only limited joining techniques like bolting and riveting can be employed in anti-slosh baffle systems to meet the assembly and integration requirements. The assembly of anti-slosh baffle sub-assemblies inside propellant tanks is easier with joints comprising of  rivets. This paper presents a novel design of a riveted joint with translational freedom for anti-slosh baffles inside a propellant tank. The design is validated with a quasi-static tensile test and the qualified joint is adopted in engineering of the system for flight.

 

Modelling and Dimensional Analysis of Spring Loaded Pressure Regulator for Performance Prediction and Characterization

Rishabh Garg, Kailas S. Kuhite, Sunil S., D. Venkittaraman, Alex A.

 

The successful performance of a typical launch vehicle depends on fault free and reliable performance of different propulsion stages which uses various fluid control systems to control flow, pressure and direction of propellant and pressurant. Liquid propulsion stages require almost constant propellant tank pressure to maintain desired propellant flow into engines and to provide a positive pump suction head to avoid cavitation. In addition, these stages require constant pressure command gas source to operate engine propellant flow control valves, gas generator valves, purge valves etc. Pressure regulator is a variable-area pressure reduction valve, which provides constant outlet pressure at its downstream, irrespective of variations in inlet pressure and flow demand.  In active Pressurisation systems, the design of pressure regulator is complex due to the large band of inlet pressure variation at high flow rate demand. A non-linear dynamic mathematical model of pressure regulator is required for predicting the performance in the specified working conditions with respect to initial transients, temperature effects, variation in input/ output conditions, inherent oscillations etc. The model is also effective to carry out post-flight analysis by simulating anomalies seen during ground tests and during flight. The upper stage of PSLV uses liquid pressure-fed engines which has two-stage regulated pressurisation system to maintain constant tank pressure with regulators in series. First rough regulator regulates high pressure GHe stored in gas bottle to intermediate pressure and then precision second regulator regulates to final required tank pressure. A non-linear and 1D time-domain mathematical model of high pressure regulator simulating transients and working range was made using AMESim   software and validated with experiment results. One of the anomalous observation in regulator during ground testing was studied with this model. Later these observations were confirmed by NDT techniques on the hardware. Paper presents the details of the model and parametric study conducted on the regulator. The validation of model with test results and characterization of the model to recreate the anomaly is also presented.

 

Numerical Study of the Liquid Oxygen Draining in a Spinning Tank with Baffles for Hybrid-Propulsion Rocket

Anant Singhal, Deepak K. Agarwal, T. John Tharakan, S. Sunil Kum

 

Computational Fluid Dynamics (CFD) study of liquid oxygen draining in a spinning tank with and without baffles is carried out for hybrid propulsion rocket. The effect of tank spinning and the presence of baffles on the vortex formation and unusable propellant mass is brought out in this work. The interface of the draining propellant is captured using the Volume of Fluid (VOF) framework while the motion of baffles is simulated through mesh motion technique. Initially, analysis of liquid oxygen draining is carried out in a stationary tank without baffles. It is found that that a vortex is formed in the tank and gas entry in the feed line happens at 21s resulting in unusable propellant of 1.9kg. Subsequent analysis of liquid draining in a spinning tank without baffles shows that gas enters into the feed line earlier as compared to the stationary tank. Finally, the analysis is carried out for propellant draining in spinning tank with baffles. It is found that the momentum imparted by the baffles to the draining fluid increases the unusable propellant mass further compared to tank without baffle.

 

Numerical Study on De-Icing Of Aeroplane Wing Using Piezoelectric Materials

K GuruBrahmam, Prof. M Chandra Sekhar Reddy, and Prof. T Ramamohan Rao

 

The focus of the present investigation is to de-ice an airfoil wing using vibration induced by piezoelectric material. We selected symmetrical airfoil (NACA0015) for the numerical simulation. Airfoil is designed using solid works as airfoil data. Piezo electric patches and ice layer are designed and assembled to the airfoil wing using solid works. The final model is imported into ANSYS. Modal analysis is carried out for extraction of frequencies and mode shapes. Harmonic analysis is carried out for maximum shear stress. The results of these simulations allowed optimizing the positioning of the patches and angle of piezo on the structure and the optimal excitation voltage for the piezoelectric patches. Results are presented in the form of tabular data and digital photographs

 

Realization of Integrated Data Acquisition for Testing of Human Rated GAGANYAAN Vikas Engine

Priya Esther DR, Vineeth Marella, Ethamukkala BalaKrishna,

Vinoth B, GilberChandra, Murugananda Bhaskaran

 

The L110 VIKAS engine certification testing for the Gaganyaan program, comprised of three long duration qualification tests and four short-duration off nominal tests. The Test Article (The GAGANYAAN Vikas Engine) measurement system comprises of Process Measurements namely Pressure, Temperature, Strain, Speed, and Vibration. Erstwhile Test Article measurement system used individual Signal Conditioning Amplifiers, Excitation Power supplies, and the Data Acquisition system using The PCI Extension for Instrumentation (PXI- Data Acquisition system ) The revamping of the Test Article Measurement System in the  Principal Test Stand control centre - was  carried out by inducting the state-of art Integrated Data Acquisition systems(IDAS) with inbuilt excitation modules, Sigma delta ADCs thereby replacing the old signal conditioning modules and excitation modules. The induction of the IDAS was pivotal in ensuring accurate and precise measurements required in the GAGANYAAN ground testing. The paper elucidates the arduous Testing of the IDAS and the various Hot Test results of the GAGANYAAN Engine Test Series.

 

Roll damping analysis of crew escape vehicle with grid fins at subsonic and transonic Mach numbers

M Jathaveda, Kunal Garg,P Balasubramanian, Harish A, G Vidya

 

Crew Escape Vehicle (CEV) is a man rated vehicle, which is used to eject the crew module from main rocket in an emergency situation so that the crew can be saved. Grid fins are employed in this vehicle for aerodynamic stabilization. Aerodynamic characterization is quite crucial for mission simulation and studies. Static and dynamic aerodynamic coefficients govern aerodynamic behavior among which roll damping derivative represents aerodynamic damping due to roll motion. Roll damping derivatives are obtained from wind tunnel tests for range of Mach numbers but sparse data is available due to cost overhead hence CFD has been employed for same. Forced oscillation technique using CFD++ software has been validated for Basic Finner configuration and same has been applied for CEV in current studies. Roll damping derivative are obtained for CEV and compared with wind tunnel results. Current studies have been carried out for subsonic and transonic Mach number but can be extended to supersonic Mach number. 

 

Synthetic Aperture Radar Data Quality Characterization and Calibration Analysis of EOS-04

S. SriSudha, S. JayaBharathi, S. HariPriya and B. Santhisree

 

EOS4 satellite is launched on 14th Feb 2022 by PSLV C-52 in sun Synchronous polar Orbit of 529Km. This paper presents the data products quality evaluation of Earth Observation Satellite -04 in terms of Geometric and Radiometric aspects by using Data Quality Evaluation Software Modules. Geometric and Radiometric Quality Parameters were estimated periodically using Level-1 and Level-2 data products of Strip Map and Scan SAR Imaging modes. The parameters like Background to Peak Ratio (BPRatio), Integrated Side Lobe ratio (ISLR), Peak to Side Lobe ratio (PSLR), Radar Cross Section (RCS) of the Corner Reflector (CR) and geometric resolution are computed and validated against the specification periodically using Level-1 Single Look Complex data to validate the SAR-antenna performance. The parameters like sigma naught, speckle index, radiometric resolution, signal-to-noise ratio are computed over Amazon forest to monitor and validate the radiometric stability using Level-1 Single Look Complex products. For the estimation of Polarimetric Quality Parameters, the Level-1 Single Look Complex Datasets acquired over Cal-Val sites is used.

 

Emitter Geolocation from Near-Space Platform Using 3D TDOA

Suman Agrawal

 

The space between the maximum altitude at which a modern plane can fly and the minimum altitude at which a satellite can operate is known to as near space. A free balloon, an airship, and an unmanned aerial (UAV) vehicle are some of the aircraft in the near space. The near-space platform has the ability to identify far-off emitters in a large area due to its unique feature of having a large coverage area, full-time, and large-scaled. Near-space has drawn a lot of attention recently since it is below the ionosphere and doesn't experience ionospheric scintillations, which can significantly degrade RF communications and navigation performance. The focus of this paper is to compute geolocation in various scenarios. Geolocation is computed in two dimension (2D) using hybrid AOA/TDOA/FDOA measurements from ground/ship based sensors at varying emitter distances and geolocation accuracy is calculated using Root Mean Square Error (RMSE) and Circular Error of Probability (CEP50). Further, geolocation is computed in three dimension (3D) using TDOA measurements from ground/ship based sensors at varying emitter altitudes and geolocation accuracy is computed in terms of total joint covariance matrix (Standard Deviation) from all receivers. The results of above geolocation accuracy are compared with geolocation from near-space based sensors placed at varying altitudes while the emitter is placed on ground/ship based platform using 3D TDOA measurements. TDOA measurements are obtained by cross-correlating the signal received at all the sensors. The performance for all the scenarios are demonstrated through modelling and simulations. Experimental results in varied scenarios and specifically near-space platforms will help in designing of systems as per the required accuracy and in future visualizing the accuracies from space based platforms.

 

Performance Observation of IRNSS in Terms of Receiver Geometry and Position Accuracy over Hyderabad Region

R. Anil Kumar, P. Naveen Kumar

 

The Indian Regional Navigation Satellite System (IRNSS) is a satellite navigation system developed by the Indian Space Research Organization (ISRO), using the frequencies of the L5 and S1 bands. The IRNSS system is independent of GPS. It is used for position, velocity and timing (PVT) services over the Indian region and surrounding coverage area of 1500 km. The positional accuracy of IRNSS system suffers from many sources of errors. To achieve better accuracy, combination of different navigation systems is required. This paper presents the detailed analysis of IRNSS satellite visibility, dilution of precision (DOP) and signal strength under open sky. The effect of satellite geometry on position accuracy and performance of IRNSS is presented. From the results, it is observed that the combined IRNSS/GPS hybrid mode of operation of dual frequency receiver measurements gives better accuracy compare to hybrid mode of operation using single frequency measurements.

 

High Resolution Spectral Analysis of Pressure Oscillations in Large Segmented Solid Rocket Motors

Kali Prasad KVASN, Dr. Sankaran S and Anuj Nigam

 

In the present work various methods of Spectral Analysis are analysed and implemented to get high resolution spectrogram results to find frequencies of pressure oscillation varying with time for a Large Segmented Solid Rocket Motor. The analysis was conducted using MATLAB software package R2022a. Validation of the implemented code has been made using a theoretical signal which was generated using MATLAB program to closely resemble the variation in frequency and amplitude to Large segmented solid rocket motor pressure signal data. Pressure Oscillations in Large Segmented Solid Rocket Motors are caused by vortex shedding at frontal thermal protections (inhibitors) and acoustic response upon from impingement of vortices on surfaces like other inhibitors or rocket motor nozzle. This coupling along with change in internal diameter of rocket motor due to fuel-grain burning causes continuous variation in frequency of pressure oscillations in motor. The conventional Fast-Fourier Transform algorithm used in spectral analysis is unable to produce high resolution results to be able to identify this continuous frequency variation in pressure oscillations.

 

Predicting the shear properties in S-glass epoxy composite by finite element analysis

Pullela Ramalakshmi, Kongari Akshaya, and Pinninti Ravinder Reddy

 

S-glass is technically significant glass fiber. It has high stiffness, strength and softening point. This fiber finds application in light weight armor. In the present work, S-glass reinforced composite is considered to examine the shear properties by finite element analysis. To examine the shear properties, the dimension of the specimen described in ASTM C 1425 is selected with variation in the sample thickness and notch separation. The shear properties will be examined at the sample thickness of 10 mm and the notch separation will be varied from 1 mm to 5 mm. The shear properties examined from this work will be useful in design data considerations.

 

Visualization of Spokes Mode in a Hall Effect Thruster

Souradeep Roy Choudhury, Samvram Sahu, Vara Prasad Kella and Vikash Kumar

 

The present work investigates the dynamics of rotating spokes modes in a Hall Effect Thruster (HET) also known as a Stationary Plasma Thruster (SPT). Understanding these modes is important to investigate electron transport phenomena which constitute power losses for the thruster. Furthermore, the results may be inputs to future simulation studies. In this paper, post processing technique of raw images to visualize the spoke modes is presented. Images of an 85 mm mean diameter SPT anode channel, operated at 783 W at a pressure of   were acquired via a High Speed Camera. The images so obtained were extremely saturated with the cathode intensity while the anode channel intensity was dominated by its DC component. Automated image processing techniques were then applied. In this process, the images were normalized with respect to the camera specifications and the cathode and anode were segmented from the anode channel image frames using Otsu’s thresholding. The normalized and extracted regions are subjected to a string of post-processing involving normalization by mean image and removal of noise and the DC component. This resulted in an improved contrast as well as removal of saturation in the images due to the cathode, enabling one to focus exclusively on spokes modes.

 

Experimental study of magnetic field effects on SPT performance

Vara Prasad K, Umesh R Kadhane, M Rafi, Anish A and Anooja S

 

Stationary Plasma Thrusters (SPT), also known as Hall Effect Thrusters (HET) are one of the matured electric propulsion thrusters used by different space agencies for spacecraft orbit raising and NSSK operations. Higher Isp and higher reliability offered by these thrusters make them standout in this category. ISRO has taken steps to develop SPTs of various power levels to cater the Indian space programme. Magnetic field profile is the heart of these SPTs, which will confine the electrons for better ionization of propellant and helps in creating strong electric field to accelerate the charged ions. The magnetic field strength affects the ceramic liner erosion which in turn determines the life of the thruster. In this study, the effects of magnetic field on thruster performance are examined experimentally. The SPT used in these experiments is a 85mm mean diameter thruster operated at 700W discharge power. The test facility used is a cylindrical vacuum chamber with 1.6m diameter and 4m length, equipped with roughing pumps, turbo molecular pump, cryo pump and Xenon cold heads. The vacuum level in the chamber during the testing of the thruster was 2.6x10-5 mbar of Xenon. Discharge current, discharge current oscillations and plasma plume profile were monitored at different magnetic fields. The magnetic field is tuned by varying the magnet coil currents.  The 3D profiles of the magnetic field were measured using an automated 3D magnetic field mapper system. Discharge current oscillations are acquired through a high sampling oscilloscope and plume angle estimated based on measurements with Faraday probe. In this paper the performance of SPT in terms of discharge current oscillations and plume angle is presented with different peak magnetic field strengths from 78G to 171G. The mean discharge current, divergence angle are lower at 143G. High frequency modes are observed to be exit at 0.9A and 0.7A of coil current corresponds to magnetic field of 100G and 78G.

 

Studies to investigate the effect of feed line orientation on chill-down performance of cryogenic feed lines

Venkatesh N, Anant Singhal, Deepak Kumar Agarwal,  ASalih, S Sunil Kumar

 

In Cryogenic Systems, chill down of transfer or feed lines to a temperature very close to that of the cryogen is to be achieved first prior to its admission at rated flow rate for steady state operation and this is achieved by admitting the cryogen at a low flow rate. This chill down process is very complex and is highly sensitive to parameters like feed line orientation, distribution of thermal mass associated with the system, mass flux of the cryogen, heat in-leak etc.. In the present study, experiments are conceived to address the influence of feed line orientation on chill down performance. A set-up is realized employing a foam insulated test section and experiments are conducted using Liquid Nitrogen. Tests are performed in horizontal and different upward as well as downward orientation. Chill down performance is analysed using the measured surface temperature data. It is observed to be very sensitive to feed line orientation, faster with upward inclination and slower with downward orientation. Wall heat flux is estimated using experimental data and heat flux pattern for different feed line orientation is studied. Heat flux pattern at bottom locations is observed to be not affected significantly by feed line orientation. Whereas heat flux pattern at top locations is distinctly different in tests with upward orientation. CFD simulation is also done, as a typical case, for 45o downward inclination, using ANSYS software to capture the flow pattern and wall temperature profile. Flow structure is well captured and very good match is seen with the experimental data for the bottom wall temperature profile.

 

 

Terminal Phase Guidance design for an Anti-Ship Bank-To-Turn (BTT) Cruise Missile

N. Akilandeswari, Mallikarjun. Bangi, K.K. Mangrulkar, and G. Naresh Kumar

 

In this paper, a different approach guidance technique is evolved by generating an angle, to guide an anti-ship cruise missile in terminal phase. The present work focuses to model and simulate a guidance scheme for terminal phase of an anti-ship Bank to Turn (BTT) cruise missile. The targeted ships are relatively slow compared to missile speeds. The modified guidance law of Pure Pursuit and Proportional Navigation (PN) in terms of course angle is implemented for stationary as well as moving targets in the lateral plane. The longitudinal guidance is achieved by computing the commanded altitude as a function of range to go.

 

Aerodynamic Parameter Estimation of RLV From Telemeter Sensor Output

Ashwin Chandar O R, A K Sarkar, R Mukesh

 

An important applications of System Identification in aerospace science is aerodynamic parameter estimation from flight data. Though plenty of literature exist for aircraft on this topic, scanty for flight vehicles. An unified methodology of aerodynamic parameter estimation of flight vehicles is developed using Estimation Before Modeling technique under practical constraints of limited external measurements and mild or no excitations during flight. This technique has been extensively validated using flight data of different types of flight vehicles. In this paper, aerodynamic parameter estimation of Reusable Launch Vehicle during descend phase of flight is presented. Available onboard measurements are very noisy and also telemeter accelerometer and gyro signals are with intermittently missing data. Here no external measurements are available and it underwent maneuver only along pitch plane, considered for aerodynamic parameter estimation. Under these practical constraints, aerodynamic moment coefficients have been estimated and compared with preflight values in present research.

 

Terrain Referenced Navigation Technique Using Correlation Algorithms for Cruise Vehicle

Suresh Mamidipalli, Mallikarjun Bangi and G. Naresh Kumar

 

The Cruise vehicle is guided by an Inertial Navigation Systems (INS) and Satellite Navigation (SatNav). Where INS provides very accurate and reliable solution for navigation, but gyroscope and accelerometers errors accumulate with time, and accordingly navigation errors also grow w.r.to time leading to very high Position drifts for long duration missions. While in SatNav performance is poor due to the signal interference and jamming. The solution to these problems leads to an introduction of another device to perform precise measurements of the vehicle's geographical position along its flight path. TERCOM is a well approved navigation technique which deals with terrain elevation. TERCOM compares the measured elevation value and on-board stored elevation value using correlation algorithm. A TERCOM system is a self-contained and provides positional fixes to cruise vehicle, aircraft, and drones. TERCOM is the only fix-taking system that can operate autonomously in a RF/ SatNav denied scenarios. TERCOM can be used in both tactical and strategic systems and operates under ECM (electronic countermeasures) conditions and provides day/night, all weather capability in low altitude terrain following scenarios. This paper presents correlation algorithm and its performance evaluation in the Western Ghats of India.

 

Impact of Deblurring on Image matching algorithms

Vaddi Chandra Sekhar, Boda Nehru, D Penchalaiah, Akula Naresh, G Naresh Kumar, Abhijit Bhattacharyya

 

Motion blur can have a significant impact on the performance of image matching tasks, particularly when using feature-based matching algorithms like SIFT (Scale-Invariant Feature Transform) or SURF (Speeded Up Robust Features). In this work we explore the impact of image deblurring on image matching algorithms. For our work we chose one classical algorithm SIFT and one Neural network model D2NET. For deblurring the images we used the state of the art deblurGAN model. It is observed that Image matching has significantly improved on the deblurred images compared to the blurred images as observed from the precision recall curves.

 

Computational Analysis of Horizontal Axis Wind Turbine Blade NACA 63(4)221

Uma Maheshwat Vanamala, Purna VisishtaBattu

 

Wind energy is one of the most sustainable sources of renewable energy. The fast technological development in the wind industry and availability of multi megawatt sized horizontal axis wind turbines has further led to the promotion of wind power utilization globally. The paper presents work on NACA 63(4)-221 aerofoil profile is taken which is redesigned horizontal axis wind turbine blade (HAWT) for VESTAS RRB V27-225 kW. In a HAWT, aerofoil blades are very essential parts. Forces for lift and drag on the blade play an important role in the aerodynamic efficiency of aerofoil.  CFD analysis on the aerofoil blade of wind turbine is carried out and the effect of angle of attack and Reynolds number on performance of the NACA 63(4)-221 aerofoil blade is presented. The ratio of coefficient of lift to coefficient of drag (Cl/Cd) is calculated. Maximum Cl/Cd values are observed at Angle of Attack 6o degrees.

 

 

Self-reliance in salvo launch of an Article

Ashish Kumar Gupta


Defence activities that can be carried out from underwater platforms are torpedo, underwater mines and submarine launched missile and so on. This paper focuses on the activities when articles are launched from submersible platforms. In real-time scenario, after firing of an article, it is ensured that maximum damage is caused to adversary and that the operation must be finished in prerequisite duration and the mobile launcher should flee from that area in a short period. It details the factors that are considered while implementing the schemes for salvo launch in terms of fault tolerance, automated sequences, system modular design and various communication protocols. This system has been successfully implemented and tested for warfare activities.

 

Experimental Investigation on the Interaction of Supersonic Plume with Launch Pad Structure

B.N.V Sai Aditya, M. Deepthi, G. Venkatesh, T. Srinivas Reddy, S. Sankaran

 

With the advent of increased launch frequency, ISRO is planning to meet the demand by augmenting the existing launch pad at Sriharikota using an innovative scheme of launch vehicle integration and transfer sequence. Under this project, the integrated launch vehicle will be transferred on Mobile Launch Pedestal (MLP) from the integration facility to the First launch pad on a rail track. This rail track will cross the Jet Deflector Duct (JDD) with a rail track span of 7.5m. The rail track will be supported on the girder, which will be subjected to severe thermal environment generated due to the interaction of hot supersonic jet from C-D nozzle with a 9 0cant angle, through the launch pedestal cut-out during launch vehicle lift-off. In order to design the rail track girder beam, cold and launch pad measurements are initiated to study this thermal & flow related problem and map the extent of interaction of hot supersonic jet on the launch pad structure, simulating the rail beam structure. Pressure, temperature, heat flux and flow visualization results are presented and discussed in this paper. From the flow visualization results and launch pad measurements it is understood that there is no direct impingement of supersonic jet on the launch pad structure, resulting in a benign condition of flow parameters.

 

Characterization of a Pressurized Convoluted Metallic Flexible Hose under Large Bending Angles for Systems Engineering of High Pressure Swiveling Thruster

B Kartik Surendra, Sourabh Karmarkar, B Suresh Babu, Reji Joseph, Jagannathan S

 

Metallic flexible hoses with convolutions and wire braiding are used for various of applications in the aerospace systems. One such application is for carrying a high temperature, high pressure gas for a roll control system of a core liquid stage of a launch vehicle. In this application, the flexible hose connects a fixed hot gas inlet rigid line to a swiveling thruster. The flexible hose undergoes bending in a single plane about an axis perpendicular to its length and located in between the two ends. The estimation of torque required to bend the pressurized flexible hose is needed for finalizing the design specifications of the torque motor used for swiveling the thruster. As the flexible hose is fabricated by mechanical/hydroforming process which induces plastic strain and the uncertainties associated with braiding stiffness makes accurate analytical modeling difficult. An experimental approach is adopted in this study for estimating the bending torques required for different bend angles with a specifically engineered unconventional and unique experimental set up. This study presents the results of bending tests performed on a convoluted metallic flexible hose with an internal pressure of 50 bar and assembled under stretched and un-stretched conditions for different offset distances from one of the ends. The roll thruster swivels by an angle of o, which subjects the flexible hose to relatively large bending angles. A nonlinear variation of bending torque with bending angle was observed in this study. When the flexible hose is assembled in an un-stretched condition, a snapping behavior is observed during bending, in which the curvature developed in one direction suddenly shifts to the other side. A significant reduction in the snapping behavior was observed upon assembly in a stretched condition. The maximum torque required for bending the flexible hose to the desired swivel angle is estimated for different configurations of the experimental setup. Torque estimated from the tests is used for selecting the torque motor and for detailed systems engineering of the roll control system.

 

Development of Shock Test Fixture for a Heavy Rocket Valve

Renjith James, Surya Mani Tripathi, B. Sathis Kumar, A. Alex

 

This article presents the technical challenges faced during the shock test of 84kg cryogenic valve for a liquid rocket engine and the counter measures implemented to tackle the issue. Aerospace valves are generally subjected to shock test in three orthogonal directional axes (x, y & z) as part of qualification test program to simulate the sudden accelerations occurring during transportation. The main challenge was posed due to high mass (153kg) and asymmetry of the Equipment Under Test (EUT) with respect to centre of gravity (CG) of the valve. The shock level for the test is 50g force in semi-sinusoidal waveform for duration of 10millisecond. The CG of EUT is located using 3D CAD model. The CG offset varied from 37mm to 94mm from shaker axis depending on mounting plane (XY, YZ & XZ) due to asymmetry of the EUT.  The large mass, offset of CG from the vertical axis and the shock level called for a higher capacity shaker with a large displacement withstanding higher overturn moment. To counter this issue, a Shock Test Fixture (STF) is designed to keep the CG of EUT within a radius of 10mm from the axis of the available shaker of 290kN capacity. The STF is developed keeping the cumulative mass of EUT within the shaker limit of 230kg and acts as an intermediate test fixture between EUT and shaker table. The shock test of EUT is conducted successfully for the first time in the 290kN shaker using the newly developed STF. This approach shows that similar design methodology can be followed for the optimum utilization of available resources in an economical way.


Design and development of sealing mechanism for Gaseous medium cryogenic safety valve for ISRO Launch vehicle application

Arun Baby, Gaurav Sharma, Sunil S, D Venkittaraman, and A Alex

 

Safety valves are most commonly used in aerospace, oil and chemical industry to prevent over pressurization of systems leading to loss of man, material and machine. Usage of cryogenic valves is very common in various launch vehicles worldwide as well as within ISRO. In aerospace application, safety valves are used to prevent over pressurization of either propellant tanks or other subsystem’s like command system, roll control system and/or orbit control and stabilization systems.

Inverted operation relief valves offer advantage of relatively higher sealing stress at operating condition in comparison to direct operation relief valves. Leakage observations in relief valves are very common and also a primary cause of failure. In contrast to pneumatically operated ON/OFF valves, seat stress in relief valves are limited and further reduces close to operating conditions.

 Mechanism of sealing in relief valves could be either hard on hard or soft on hard type of sealing. Owing to better leak tightness, soft on hard type of sealing is mostly preferred for cryogenic gaseous application. Soft materials like polycarbonate, Teflon &Kel-F has good sealing characteristics, whereas the mechanical strength of these soft materials is inferior to metals and cannot be used as structural member inside valves. Lesser mechanical strength of these non-metals requires sufficient metallic support to increase structural integrity of valve seats. Soft seats are inserted into these metallic poppets after dipping in liquid nitrogen to achieve required amount of dimensional shrink followed by seat pressing and crimping using special purpose dies. Specially crimped soft seats by plastic deformation of metals helps in retaining soft seats inside metallic poppet. Ductile materials like Aluminum Bronze and AISI 321 are commonly used as poppet materials.

The process of poppet sub assembly crimping is a highly skilled operation and carried out after ensuring low temperature clearances, mating point radius/chamfer and smooth edges for die travel. This paper discusses the crimping of a cryogenic safety valve poppet sub-assembly with soft seat as polycarbonate and metallic poppet made up of Aluminum Bronze. Observations during crimping and issues related to ineffective crimping along with NDT evidence are discussed in detail. Crimping process qualification and advanced NDT screening of every crimped poppet subassembly is also presented in this paper. A comparison of load requirement during crimping by analytical approach against UTM load applied is made and a good match is observed.

 

 

 

 

 

Multifractal Detrended Fluctuation Analysis for Onset of Combustion Instability in Liquid Rocket Engines

Varghese Mathew Thannickal, T. John Tharakan, S. R. Chakravarthy

 

Combustion instability is a potentially destructive phenomenon that leads to time and cost overruns in a rocket engine development project. Active control in open loop or closed loop configurations is being investigated to suppress combustion instability. The active control strategies can be made more effective if there is a forewarning of impending instability. In this work, multifractal detrended fluctuation analysis (MFDFA) is examined as a technique to provide forewarning of instability in liquid engines. The method is based on the decomposition of the chamber pressure data of the engine into singularity exponents and dimensions at different fractal orders. These parameters can be parametrically combined to generate the fractal spectrum. The fractal spectrum has a definite shape characterized by its height, width, differential height and apex location. The evolution of the multifractal spectrum characteristics is known to yield information on the onset of instability based on lab level experiments. The applicability of MFDFA to investigate the onset of instability in full-scale engines assessed in this work. Typical earth storable and cryogenic engines are used as case studies.

 

Reflection and Review of Fuel Delivery Systems

Sadan Kanchanapalli and Ramanathan Subramanian

 

In attempting to keep up with emissions and efficiency forces, the fuel method employed in contemporary automobiles has changed a lot over the past few decades. Fuel solution has been in for decades, and electronic fuel injection was applied widely on European automobiles beginning in 1980s. Today, all automobiles in the world have fuel injection schemes in place for emission control. This paper compares the different fuel delivery systems, explains the working and types of fuel delivery systems currently in use in automobiles and discusses some problems present in the current fuel delivery systems.

 

 

Fault Management of Guidance and Control System for Aerospace Vehicles

M. Reshma Gopal, O. R. Ashwin Chandar, and Dr. P. Koti Lakshmi,

 

Aerospace vehicles generally are safety-critical systems and they rely on sophisticated control systems. For an aerospace system to be fully reliable and highly safe, it requires to have the features of fault detection and diagnosis. In case of malfunction of the control actuators or sensors or other components, a conventional feedback control design may not meet the system requirement and may cause catastrophic failure. It therefore becomes a necessity to design fault tolerating control system design to improve the reliability of the system and maintain the overall system stability. The fault tolerance is achieved by fault detection and diagnosis and isolation of the fault. After the fault is recognized, the reconfiguration is carried out by means of redundancy on-board and the flight operation is continued. This paper gives the design of highly reliable flight control systems by employing fault detection and reconfiguration on-board by hardware and analytical redundancy techniques.

 

Immunotronics inspired Novel Self Repairing Finite State Machine for RISC-V based Processor

Deepanjali. S and Noor Mahammad Balasubramanian. P G Venkat Reddy

 

RISC-V processor is an open-source Instruction-set architecture (ISA), used to implement soft-core processors or System-on- Chip (SoC) in multiple FPGA and embedded systems. The increasing reduction in the size of these devices has increased the probability of upsets towards radiation environments. These errors are called Single Event Upset (SEU) which can cause functional failures in mission-critical components like control circuits. Hence reliability through self- healing mechanisms has become an essential characteristic of digital systems. Motivations from the human system to resist the invasion of harmful foreign bodies have been incorporated into the field of fault-tolerant electronics under the research area called Immunotronics. Our proposed system introduces self-repairing capabilities for the RISC-V control circuit through Immunotronics. The results are summarized as a proof-of- concept to verify the SEU-Tolerance.

 

Electro Cardiogram (ECG) Monitoring using Internet of Things and predict future in advance using artificial intelligence

Dr. G. Sasikala G. Satya Krishna

An IoT Based Electro cardiogram monitoring system will continue monitor the patient health condition related to heart and update immediately if any abnormality found in the patient health viz Wi-Fi to things peak application in mobile phone. The doctor located at remote location will monitor the situation accordingly and take appropriate decision, so that life time of the patient will be increased. In addition to it we may predict the health condition in advance using artificial intelligence. Based on patient health data we may produce trainee set and compare it with test set to estimate the variation in the health status and based on variation observed it may alert the doctor to indicate the early deterioration of patient health condition, so that we may arrest the growth of disease in advance. Here we are using ECG sensor to take the patient health data and it will be processed using Arduino board, Arduino microcontroller will compare the patient ECG with threshold limits, if it crosses lower or upper value it may alert the doctor. After processing it will transfer data to smart phone using Wi-Fi. Patient data will be continuously logged and it will be taken as trainee set and compared it with available test set to estimate the patient health condition in advance.

[Keywords: ECG Sensor, ARDUINO UNO, WI - FI]

 

Real Time face Recognition System using Jetson Nano

Vaddi Chandra Sekhar, D Penchalaiah, G Naresh Kumar, Abhijit Bhattacharyya

 

This work aims to deploy an accurate face recognition system on a low cost, portable and reliable hardware. Nvidia Jetson Nano is a small size, portable and powerful computer to run Neural Networks. It uses an integrated 128-core Maxwell GPU for parallelization. The total power consumed by the device is less than 10 watts. Face recognition system consists of 2 steps, Face detection and Identification. Multi-Task Cascaded Convolutional Neural Networks (MTCNN) Model has been used for Face detection and VGG-Face has been used for Face Identification. The network is trained on VGG-Face dataset which consists of 2.6 million face images of 2,622 people. The system has achieved real time performance of upto 4 fps with an accuracy of 97.6% on Labeled Faces in the Wild (LFW) dataset.

 

SAR Image based Target Detection & Identification using Deep Learning Model YOLOv7

B Nehru, Vaddi Chandra Sekhar, A Naresh, D Penchalaiah, Abhijit Bhattacharya

 

In this paper we have implemented a Real Time ship Target Detection on SAR Imagery Using deep learning model. Ship detection is crucial to neutralize marine targets during combat scenario. SAR images operate in all-weather conditions and all-day and independent of range. SAR imagery based surveillance technology is particularly well suited for marine surveillance. An Open-source SAR-ship dataset (HRSID) along with custom dataset is used for detection and identification. The existing AI based methods of detection (two stage object detectors) have proposed regions followed by extraction of features. The speed of the process for these methods is slow for real-time applications. Hence one stage detector, YOLOv7 with 415 convolution layers is used for the application which will overcome constraints of the previous methods. Mean Average Precision (mAP) of 78% @ 0.5 IOU is achieved for test HRSID dataset and custom dataset. NVIDIA GPU (RTX A4000) hardware is used for the training. The inference time of 8.2 milliseconds is achieved on NVIDIA RTX A4000 GPU. Hence YOLOv7 is suitable for real time detection of military targets on SAR images.

 

Adversarial Machine learning Problems: Threats and Attacks

Revathi Lavanya Baggam, V. ValliKumari, Gowri Shankar Wuriti

 

Machine Learning is being extensively used in many wide range applications, as it shows cases its technical breakthroughs. It also has proved its success by handling complex scenarios and exhibited its capabilities very close to humans or even much beyond the human ability. But, the research in recent times even prove that machine learning models are being much more helpless to various kinds of attacks, which in turn are compromising its security aspects of the models and their applications. However, these type of attacks are cautious due to their unexpected behavior of deep learning methods. In this survey, a systematic analysis of the security issues of ML majorly focusing on the existing set of attacks on ML systems, and their related defenses or the secure learning approaches and the evaluation techniques. Inspite of keenly focusing on only one type of approach or attack, this paper details about the various phases of machine learning security starting from training phase to the testing phase. Initially, this paper explains about the machine learning in the existence of the adversaries present, and the reasons behind why the machine learning can be easily attacked is analyzed. Later, the aspects with respective to machine learning security are classified into majorly five sets namely: backdoors present in the training set; theft to model; poisoning the training set; sensitive training data recovery; adversarial example attacks. Also, the threat models, various approaches to attack and the defense methods are analyzed.

 

 

Artificial Intelligence based Electronic Warfare Systems: A Review

Kiran Garje

 

Electronic Warfare is one of the most important aspects of modern era Wars. Control of the spectrum, attack on adversary or obstruct the enemy assault using Electromagnetic spectrum are some of functions achieved as part of this warfare. Upcoming trends in AI indicate that, evolving EW technology will have a revolutionizing influence on Armed Forces. AI based algorithms can be very productive in various fields of EW viz. signal processing for recognition and classification of targets, revelation of Jammers and its characteristics for evolving suitable anti-jamming algorithms as well as satellite signal monitoring and interception. Autonomous operation of EW systems can also be realized using AI based approach. This paper gives an insight on different aspects of EW, the usage of AI in EW systems and different techniques that have been incorporated in conventional and Satellite based systems

 

 

Efficient Biometric Service Protocol for Cloud Services

SwathiGowroju,  S. SaiSatyanarayana Reddy, V. Swathi, R. Srinija, P. Rishika, K Naveen Reddy

 

Cloud services will be ones that can be accessed from a scattered cloud stockpiling worker rather than an on-site server. These measured systems are operated by an outsider and allow users online access to PC resources like systems administration or research. Cloud computing is used to store data on cloud workers and to distribute processing resources across the Internet.  Due to the pooling of resources, security and data insurance have become a crucial area of concern in cloud computing. Cloud service providers use server farms that are affected by information spillage to store and keep customer data. It has been noted that several techniques have prioritised data protection while ignoring privacy in the execution. Authentication helps to safeguard and confirm a recipient's identity. We also offer a practical method for creating a session key between two interacting parties that makes use of two biometric models for secure message delivery. Finally, thorough tests and a comparison analysis were used to determine the validity and usefulness of the suggested remedy. Index Terms: Session key, cloud service access, biometric-based security, and authentication.

 

Transfer-learning Enhanced Physics Informed- Neural-Networks for Burgers’ Equation with High Reynolds’ Number

Nishant kumar, Manish Kr. Tiwari, Dr. P.S Gurugubelli, Dr. Anil Kumar, Dr. M. Raghavendra Rao

 

We have attempted to solve Burgers’ equation with Physics Informed Neural Networks (PINNs) using transfer learning to address the difficulties in solving the equation with high Reynolds number, that is, low values of kinematic viscosity. The obtained solutions are compared with benchmark results from classical numerical methods, and it is found that they are in close agreement. PINNs are also shown to accurately model physical behaviour at low viscosities Transfer learning is shown to be a great enhancement, particularly for low values of viscosity.

 

Driver Drowsiness Monitoring System using Visual Behaviour and

Machine Learning

Ambika Sahitya Batchu, Madhuvani Patnam, and Goutham Karnati

 

One of the leading factors in traffic accidents and fatalities is drowsy driving. Hence, identifying driver weariness and related symptoms is a current research subject. The majority of traditional approaches are either vehicle-, behavior-, or physiological- based. Some approaches necessitate costly sensors and data processing, while others are obtrusive and distracting to the driver. The result of this work is the development of real-time, low-cost technology that can identify drowsy driving. A webcam records the

video in the designed system, and utilizing image processing algorithms, the driver's face is recognized in each frame. Following the computation of the eye aspect ratio, mouth opening ratio, drowsiness is determined by adaptive thresholding based on the location of facial landmarks on the identified face. Moreover, offline implementations of machine learning algorithms have been made. Based on support vector machine classification, it was found that the sensitivity was 95.58% and the specificity was 100%.

 

 

 

 

Design and Implementation of Private Cloud Infrastructure based on OpenStack for Strategic Organizations

M. Swapna

 

Cloud technologies have become indispensable part of organizations today. As an evolving paradigm for anytime, anywhere, cost effective computing, cloud computing has attracted huge attention among academics and industry. Many commercial companies are providing public cloud solutions through internet. In public clouds, control over the entire cloud infrastructure and the data hosted on it remains with the company providing cloud solution. However, government and defense organizations require that control over the cloud infrastructure and the hosted data is retained with them. Hence private clouds are more suitable for strategic organizations.

This paper discusses design choices and challenges involved in implementing an Open Stack based private cloud system for an organization and customizing it for developing strategic applications while saving recurrent costs and also providing data security. It also focuses on automating the entire deployment with minimal manual work. As a case study for PaaS, deep learning frameworks have been provided on cloud for training deep learning models.

 

 

Design of High speed drive system for rocket subsystem tests

Deepak Dinesh, Arun Kumar S, Remya KP, Harikumar K, Unnikrishnan Nair P, N. Jayan, Jose Paul

 

A high speed drive system driven by a radial turbine was designed for testing high speed seals and bearings for rocket engine turbopump. The drive system uses angular contact ceramic ball bearing pairs with high speed capability for supporting the rotor and is lubricated using oil mist lubrication method. The radial turbine design was carried out by 1-D mean line method, to match the output of the available air supply from a screw compressor.  The preliminary design of the radial turbine was analysed using CFD with CFX software. Structural analysis was performed using ANSYS to ensure that stresses are benign at the operating conditions.  Rotordynamic analysis of the rotating system was carried out with in-house FORTRAN code and Campbell diagrams obtained showed that sub-critical operation was achieved.  The hardware was realised at in house fabrication facility and balancing of the rotating system was carried out to achieve minimum unbalance levels. The facility realization required for the drive involved integrating procured pneumatically operated valves and sensors with necessary instrumentation to the fabricated feed lines and test bed.  The testing of the high speed drive was performed by remote operation and the test parameters were logged using a data acquisition system.  The testing carried out achieved the targeted speed of greater than 60,000 rpm.  Test Data showed minimal temperature rise at the bearing location and large margins for the valve openings, suggesting that even higher speeds are feasible. Post-test observation revealed good health of the hardware.

 

Study on effect of vibration loading of beam specimens on its dynamic characteristics

C Raja Kumaran, V Srinivasulu, V Venkata Ramakrishna, Dr. T Srinivas Reddy, Dr. S Sankaran

Vibration fatigue is an important aspect to be considered during the design and development of any structure or component operating under vibration environment. Any component under fatigue may fail abruptly below the yield or ultimate point, if it reaches its end of fatigue life. Hence fatigue life estimation is very crucial for the safe operation of any structure. In the case of launch vehicle/ launch pad structures, the jet loads and acoustic loads experienced during the launch vehicle lift-off are random in nature. Fatigue life estimation under random loads are complex compared to harmonic loads. Several research works have been done in the area of health monitoring and fatigue life estimation under sinusoidal and random loading. In this work, an effort is made to understand the effect of fatigue damage on the dynamic characteristics of a simple beam structure under harmonic vibration loading and the prediction of residual life of a structure based on the change in the dynamic characteristics is proposed. Cantilever beam specimens of two different materials are considered in this study and the same were made to fail under harmonic loading for the predetermined number of cycles using an electro-dynamic shaker vibration testing setup. In this process, the variation of dynamic parameters of the test beams with the number of cycles of loading was monitored and the data is presented. Also, the initiation and propagation of crack was monitored till the damage of the beam. Hence, from the variation of natural frequency data, the residual life of the structure under study is predicted.

 

Optimization of a stiffened interstage structure of a launch vehicle using differential evolution algorithm in FEAST

Manash Kumar Bhadra, Shachindra Nath Sharma, Partha Ajit Surve and Vinod G

 

Optimization has become synonymous to improvement in the context of design of launch vehicle structures. Problem is challenging because it not only involves multiple variable but also multiple objectives and constraints. The paper presents a method to optimize a stiffened interstage structure of a launch vehicle using differential evolution algorithm. The optimization was carried out to find the optimal number of stiffeners required and the optimal geometry of the hat stiffener that will minimize the hardware mass for specified axial compressive load, natural frequency and the strength of the material. The proposed method is implemented in a finite element analysis software named FEAST using Python based scripting

 

 

 

Multi optimization of Friction Stir Welding of Aluminium AA 6061 Alloy using Grey based Taguchi method

Pranav Ravindrannair, K Kishore, P Laxminarayana, U Ashok Kumar, F Hayat Khan

 

In this paper an experimental investigation has been carried out to determine the optimal parametric setting during Friction Stir Welding (FSW) of Aluminium AA 6061 alloy. The FSW process parameters considered are welding speed, axial force and tool rotational speed whereas the quality characteristics considered are tensile strength and tensile elongation. The Taguchi method was applied in designing the experiments involved in this study to optimize the welding parameters. Following the Taguchi quality design, an L9 (3 3) orthogonal array was chosen to design the experiment. The process parameters that were taken and their levels incorporated in the array were chosen after conducting pilot experiments and also through literature survey. The significant process parameters that affect welding performance were determined by making use of Analysis of Variance (ANOVA) and the F-test values along with the experimental results obtained. By considering the significant parameters so obtained, the verification of the improvement in the quality characteristics for the FSW of Aluminium AA 6061 was done and the results obtained were found out to be an improvement over the results obtained while using the original parameters (original setup). Apart from the optimization of each process parameter taken individually, multi response optimization has also been performed on both the process parameters that have been mentioned above by making use of the Taguchi-Grey relational analysis

 

Design & Development of Four Wheel Steering Mechanism for Minimum Turning Radius: A Case Study of CM Transportation Trolley

V Venkateswarlu      Dr. Jaiteerth R Joshi

 

The main intent of this research is to discuss the benefits, applications, and implementation of four-wheel steering mechanism over two-wheel steering mechanism. Based on a review of the relevant academic journals, books, and textbooks, this investigation concludes that two-wheel steering is more commonly used than four-wheel steering because of its lower steering efficiency. Turning radius is decreased at low speeds, steering reaction is enhanced, and vehicle stability is maximized with four-wheel steering. Because to the limited space available in the magazines, the only feasible alternative for designing a trolley to transport canisterized missiles is to equip it with four-wheel steering. Explosion-proof prime movers are required for usage on the CM transportation trolley, which moves CM containers containing items from the magazine to the loading/unloading bay and back again. To reduce the vehicle's turning radius using a four-wheel steering arrangement, the rear wheels rotate counter to the front wheels. To accomplish the tighter turn, a system composed of intermediate linkages and rotating components transmits entire relative motion to the rear wheels. Safety margins were determined by structural analysis performed in ANSYS 18, and the design and development of the linkage mechanism and chassis frame was accomplished with the help of CREO. The turning radius of the CM Transportation trolley was found to be reduced by roughly 48% when compared with a two-wheel steering system after a prototype was built and tested with a constant radius.

 

       Computational Fire Safety Assessment Studies in High Rise Assembly Buildings Using Fire                                                                                 Dynamic Simulator

Sanka SVD Sairam, V Vinodh, and T Subbananthan

 

Indoors fires pose a significant threat in High rise assembly buildings especially with a lot of working personnel in various floors. In these type of buildings, fire protection, personnel and property safety plays a key role. A study was carried out with Fire Dynamic Simulator (FDS) for a created model of High rise assembly building with two different types of fire scenario to understand the spread of fire and smoke at various floors. Thus by depicting a proper adoption of fire & smoke detection disposition considering these fire scenarios. The analysis was carried out by choosing the right type of positioning the detection method at various floors to minimize the response time.

 

Optimization of Process Parameters in Pulsed Current GTA Welding Process on ASTM 106 Grade -B Steel Pipes Using Linear Regression

                                        G Prakasham, L Siva Rama Krishna, J Kandasamy

 

The present research work aims to optimize the process parameters in the Pulsed Current Gas Tungsten Arc Welding (PCGTAW) process by employing the Design of Experiment (DOE) technique on ASTM 106 Grade- B Steel pipes. Taguchi method-based orthogonal array, L9 for four factors Pulse current (PC), Background Current (BC), Pulse Frequency (PF), and Pulse on time (PO) with three levels are employed. The higher the better reaction is picked to decide the ideal conditions for maximum ultimate tensile strength. The optimum values are found to be 220 A pulse current, 100 A background current, 4 Hz pulse frequency, and pulse on-time 50 %. ANOVA is implemented to gauge each factor's % contribution. The outcomes indicate that background current and pulse current are the significant process parameters to yield maximum ultimate tensile strength. Regression equations are used to model ultimate tensile strength, microhardness, and impact strength. Confirmation experiments are conducted to validate the results.

 

 

 

 

 

 

 

The Radar Cross Section of Marine Vessels

G. SunilSriharsha, PC. Bhuvana, N. Harini, Mallikarjun. B, M. Jyoti, G. Naresh Kumar

 

This paper focuses on the estimation of ship RCS using High-Frequency Structure Simulator (HFSS). The results produced here have been compared to the estimates available in the open literature of a Canadian cargo ship named Teleost and also measured values. In this paper, the RCS of a Canadian marine ship named “Teleost” is presented. RCS depends on various parameters like shape, size, orientation, operating frequency and aspect angle. Simulations using Finite Element Method (FEM) in Ansys HFSS software for monostatic Radar Cross Section were made through 0.1MHz to 8MHz frequency. The results of the proposed method are compared with the existing measured values and simulated values available in open literature. The work is carried out using PEC and steel as the dielectric material to analyse the monostatic RCS values, and a broad comparison is made among previous values and the obtained values. The results of this proposed method are more accurate when compared to the previous works, and are very near to the measured values. The work is carried out using Perfectly Electrical Conductor (PEC) and steel as the materials. The simulations of these two materials are carried out individually, to analyze the Monostatic RCS values.


Radar Cross Section modelling using Swerling Probability Density Function for Target

 Signal Strength Estimation

Raveen Kumar K, Sabina Esther K, MMV Dhanumjaya Rao, G Grahadurai

 

SDSC SHAR, ISRO equipped with ground-based Precision Radars for tracking the launch vehicles for range safety operations and trajectory computations. The Design of Radar parameters, waveform generation and Receiver signal processing [4] always appears to be challenging owing to the wide effects it can cause on the performance of radars [3]. The radars under consideration are Tracking Radars, intended for track Launch Vehicle. It is designed for skin mode and Transponder mode operation which calls for accurate estimation of Signal strength to achieve sufficient link margin for a target complex Radar Cross Section (RCS) [6] at slant range. 

In radar technology, scattering phenomenology is quantified by the target parameter RCS, σ can be modelled as random process. Probability density functions techniques are used to describe the target scattering and RCS estimation. Receiver that employs an envelope detector followed by a threshold decision technique [5]. The input to the receiver is composed of radar echo  and additive zero mean white Gaussian noise , with varianceThe input noise is assumed to be spatially incoherent and uncorrelated with signal. The IF filter output is a complex random variable that is composed of either noise alone or noise plus target return signal. The noise quadrature components  and are uncorrelated zero mean low pass Gaussian noise with equal variance. The Joint Probability Density Functions of random variables is Rician PDF if target is available or Rayleigh PDF if noise alone present.  Variations in radar-target geometry [8], target vibration, radar frequency, and polarization changes can lead to variations in target RCS, resulting in fluctuating targets having Swerling models [9 ] of target RCS fluctuation, The effect of these models on radar detection, signal strength estimation for a given radar parameters are considered.

 

    Simulation of DSTATCOM for Distribution Generation based system with various Algorithms

                                Ms. K. Bhavya, Dr. P.V.V. Rama Rao and Dr. L. Ravi Srinivas

 

The growth in protection devices in the field of power systems has been rising from the preceding years which enlarge life span of the power system. This paper aims at designing of various types of Custom Power Device (CPDs) for stabilizing the system under abnormal conditions like sudden switching of loads. One of the Custom Power Device Namely Distribution Static Compensator (DSTATCOM) has been proposed for dealing with various power quality issues. This work involves design of feedback control strategy with different algorithms like BAT algorithm and ANT colony optimization algorithm for controlling the parameters at the grid side and also at the load side. The three-phase grid connected system has been tested with various conditions with sudden occurrence of fault and also with sudden switching of various loads. The assessment of performance of algorithms has been verified for various parameters like PCC voltage, current, active power, reactive power and power factor. The proposed system is simulated using MATLAB and results are also analysed.

 

Optimal Placement and Sizing of DSTATCOM in Radial Distribution System Using Gravitational Search Algorithm

U. Chandra Rao, Rama Rao PVV, and N Sumathi

 

In order to reduce power losses and improve the voltage profile of the Radial Distribution network, a Gravitational Search Algorithm (GSA) is described in this work. A backward forward load flow algorithm is taken as a base case and Loss Sensitivity Factors (LSF) are used for identifying the candidate buses for D-STATCOM placement whereas the optical allocation and sizing of D-STATCOM is done by using GSA. The proposed work has been evaluated using the industry-standard IEEE 33-Bus Radial Distribution Test network. The acquired results have been compared with the results obtained in Base Case, Genetic Approach (GA), Immune Algorithm (IA), Harmony Search Algorithm (HSA), Power Loss Index (PLI) technique, and Differential Evaluation Algorithm in order to verify the usefulness of the proposed algorithm (DEA). MATLAB software was used to run the simulation.

 

 

 

 

Multi Objective Optimization of Process Parameters of Electro Discharge Machining On Nimonic 80A Using Grey Relational Analysis

K.L. Uday Kiran, K. Saraswathamma, M. Rajesh

 

Abrasive powder-mixed electrode coated electrical discharge machining (APMEC-EDM), a hybrid manufacturing process involving the use of a dielectric fluid mixed with abrasive powder and coated electrodes, combines the benefits of mechanical and thermal interactions. The aim of this article is to use a new approach of performance evaluation, gray relational analysis (GRA), to evaluate the effectiveness of optimizing multiple performance characteristics of APMEC-EDM of Nimonic80A Super alloy. The considered process parameter includes the five control factors namely pulse current (A), pulse ON time (Ton), pulse off time (Toff), Inter Electrode gap (mm) Aluminum powder concentration (g/L). The combination of L27 orthogonal array design of experiment with GRA enables to determine the optimal parameters for multiple responses. GRA is used to obtain a single performance index, gray relational grade through gray relational coefficient to optimize the APMEC-EDM process with lower tool wear rate, radial overcut, and higher material removal rate.

 

Mitigation of Voltage Sag and Swell in Smart Grid by using ANT-LION Intelligent Controller

D. ChandraSekhar, P.V. V Rama Rao and R. Kiranmayi

 

In the operational condition of an electrical power system, the need for proper utilization with quality of utilization is primal. Where different types of quality measures are deployed such as the linear filters and adaptive filters to condition the current quality, a power flow controller is deployed to compensate for the dissipation losses or fault tolerance. Where efforts are made in enhancing power quality, efforts are also made in the utilization of it. With the rapid and ever-increasing demand for power supply and rapid increases in industrial and urbanization, the demand has exceeded the supply capacity of all generation systems. To compensate for the demanded power requirement, in addition to the existing power generation units, additional subunits are added to the power system to compensate for the demanded supply. Smart grids are designed as a cluster of various generation units and consumption units. The demanded power is processed in these smart grids and using a processing algorithm, these grids play a crucial part in adjusting the power supply allocation to compensate for it. Here, the grid systems are either designed for a concentric parameter or multi-objective monitoring in making a decision. The issue is with the complexity in the parameter validation, where multi-objective monitoring gives the benefit of accurate scheduling, the complexity in parameter monitoring is higher.The main objective of the proposed is weight-defined parameter monitoring of power scheduling in multi-parameter monitoring, where the past approach of a preference-based scheduler is to be developed with different intelligent controller techniques like UNITED POWER FLOW CONTROLLER (UPFC) with ANT-LION optimization (ALO) algorithm is proposed and compared with ANFIS, Adaptive FLC, Reduced-order FL, FOPI, and FOFL. The PQ issue in the system is helped by the UPFC device. A shunt active power filter is used in series with an artificial neural network (ANN) with an ALO-based controller to improve UPFC performance by allaying current and voltage power quality (PQ) concerns. It proved that our proposed system is best in smart grid applications using MATLAB/Simulink


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