I am Vikas Diwakar a researcher passionate about bridging the virtual and physical worlds of manufacturing. My work focuses on developing high-fidelity computational models to simulate, predict, and optimize advanced manufacturing processes, with a specialized expertise in laser cladding and additive manufacturing.
My doctoral research at IIT (BHU), Varanasi involved creating sophisticated Multiphysics models in COMSOL to unravel the complex phenomena—thermal gradients, melt pool dynamics, and stress evolution—in the laser cladding of High-Entropy Alloys (HEAs) on steel substrates. By building a "digital twin" of the process, I can predict outcomes like microstructure and residual stress, moving us away from trial-and-error and towards intelligent, first-time-right design.
My core philosophy is that robust simulation must be grounded in experimental validation. I take pride in rigorously correlating my model predictions with empirical data, ensuring the solutions are not just theoretically sound, but practically accurate and industrially relevant.
Doctor of Philosophy in Manufacturing Engineering June 2025
Indian Institute of Technology (BHU), Varanasi, India
Master of Technology in Mechanical Engineering (Production Engineering) 2021
Motilal Nehru National Institute of Technology Allahabad, India
Bachelor of Technology in Mechanical Engineering 2019
Madan Mohan Malviya University of Technology Gorakhpur, India
Diwakar, V., Sharma, A., Yusufzai, M. Z. K., & Vashista, M. (2025). Micro-magnetic non-destructive characterization of multi-clad array coating of FeCoCrNiMo high entropy alloy in laser cladding. NDT & E International, 103428.
Diwakar, V., Sharma, A., Yusufzai, M. Z. K., & Vashista, M. (2024). Machine learning-based prediction of single clad characteristics and non-destructive characterization of multi-layer deposited FeCoNiCrMo HEA on EN24 via laser cladding. Materials Today Communications, 41, 110839.
Diwakar, V., Sharma, A., Yusufzai, M. Z. K., & Vashista, M. (2024). Analysis of the Thermal Residual Stress and Parametric Simulation in Laser Cladding Using COMSOL Multiphysics. Journal of Materials Engineering and Performance, 33, 7586–7595.
Diwakar, V., Sharma, A., Chaudhari, A., Yusufzai, M. Z. K., & Vashista, M. (2023). Prediction of the efficient heat flux to get an accurate thermal and clad geometry characteristic during laser cladding. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 09544089231216436.
Diwakar, V., Sharma, A., Yusufzai, M. Z. K., & Vashista, M. (2024). Direct Energy Deposited Cladded Material Characterization: Exploring Barkhausen Noise and Thermal Field with Parametric Simulation. Russian Journal of Nondestructive Testing, 60(2), 223-237.
Diwakar, V., Sharma, A., Yusufzai, M. Z. K., & Vashista, M. (2023). Measurement and Analysis of Magnetic Properties in IS 2062 Steel and AISI D2 Tool Steel Via Non-destructive Testing. MAPAN, 38(2), 489-498.
Diwakar, V., Dubey, A. K., & Pratap, T. (2023). Prediction of crater shape with different heat flux and parametric simulation in electro-chemical discharge machining. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 237(4), 1546-1556.
Diwakar, V., Sharma, A., Yusufzai, M. Z. K., & Vashista, M. (2022). Barkhausen Noise Signal Analysis of IS 2062 Steel and AISI D2 Tool Steel with Different Range of Magnetizing Frequency and Intensity. Russian Journal of Nondestructive Testing, 58(9), 821-832.
Sharma, A., Chaudhari, A., Diwakar, V., Awale, A. S., Yusufzai, M. Z. K., & Vashista, M. (2024). Implementation of hybrid CryoMQL sustainable lubri-cooling to enhance the grindability and surface integrity of tool steel. Journal of Manufacturing Processes, 119, 16-31.
Babubhai, V. K. P., Chaudhari, A., Sharma, A., & Diwakar, V. (2023). Experimental and numerical study on the influence of flow passages in centrifugal fan using computational fluid dynamics. Engineering Research Express, 5(2).
Diwakar, V., Yusufzai, M. Z. K., & Vashista, M. “Implementation of Non-Destructive Testing in Additive Manufacturing”, CRC Press-Taylor and Francis (Accepted).
Material Today Communication
Journal of Nondestructive Evaluation
Journal of Adhesion Science and Technology