Ascharya Shrivastava

Dynamic professional with over 14 years of experience in R&D for rocket propulsion and small arms ammunition. Proven expertise in leading large teams and optimizing production processes. Demonstrated ability to enhance operational efficiency through innovative strategies while ensuring compliance with safety standards.

1. Inverse prediction of solid rocket motor configuration using PINNs from pressure and thrust-time curve explores physics-informed neural networks (PINNs) for predicting solid rocket motor grain configurations from experimental data, embedding physical laws into the loss function of a deep neural network to infer geometric evolution from observed outputs, enhancing design validation 

2. Performance prediction of solid propellant grains through numerical simulation techniques, developed a simulation tool to predict pressure-time curves in solid rocket motors based on geometrical and propellant characteristics Utilized MATLAB for thermochemical modeling to validate motor design and optimize performance in defense applications. 

3. Development of embedded wire solid propellant grain for enhanced burn rate, enhanced combustion efficiency in solid propellant by embedding wires that increase burn rates, leading to improved thrust performance

4. Development of JVPC carbine ammunition, associated with the research and development of the 5.56 mm JVPC carbine ammunition Focused on improving ammunition performance and meeting stringent military specifications.

• English
• Hindi
• Marathi