Numerical investigation of penetration characteristics of preformed fragments at various obliquity angles and the development of software for prediction of spatial distribution of preformed fragments from a Directional Fragment Generator Warhead (FGW
Other
Agency: Defence Research and Development OrganisationRole: OtherGrant: DRDO/DBFA/FA/83226/M/01/2031/D (R&D
Numerical Modeling of Tribological characteristics of high pressure reciprocating hydraulic seals subjected to shock loading
Other
Agency: Defence Research and Development OrganisationRole: OtherGrant: RDE/90225/IMSG
Indentation size effects on Elasto-plastic deformation behavior of materials for aeroengine components
UniversityJawaharlal Nehru Technological University Hyderabad
Year2015
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Comparative study of effect of fragment shapes on damage characteristics of target plates in ballistic applications
UniversityDefence Institute of Advanced Technology
Year2025
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Surface engineering studies of AISI 4150 steel microstructural and tribomechanical characterization
UniversityDefence Institute of Advanced Technology
Year2024
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Investigation on Utilisation of High Energy Propellant Waste in Manufacturing of Building Materials
UniversityDefence Institute of Advanced Technology
Year2022
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Investigation on Effect of Explosive Shapes on Fragmentation and Blast Performance Characteristics of Warheads
UniversityDefence Institute of Advanced Technology
Year2021
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Investigation of Tribological Characteristics of Reciprocating Hydraulic Seals Subjected to Shock Loading
UniversityDefence Institute of Advanced Technology
Year2015
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Investigation of Tribological Characteristics of Reciprocating hydraulic seals subjected to shock loading
UniversityDefence Institute of Advanced Technology
Year2015
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Scholarly Publications
Recycling of waste propellant and the challenges in disposal: Range safety
Conference Paper
Year: 2021.
Authors: PK Mehta; A Kumaraswamy; VK Saraswat; Balu Praveenkumar
Effect of Macro, Micro and Nano Loads on The Indentation Behavior of Ti-6Al-4V and Haynes 242 Alloys
Authors: Bipin Kumar Bihari; Adepu Kumaraswamy; Mukesh Jain; Krothapalli P S Murthy
Prediction of material properties of propellant waste modified bricks through microstructures by Topographic independent component analysis coupled 3D Convolution neural networks