Nitin Patel

He is an Assistant Professor at the Bajaj Engineering Skill Training Centre, Mahindra University, Hyderabad, with expertise in mechanical engineering, robotic additive manufacturing, process optimization, and digital twin technologies. He completed his B.Tech. in Mechanical Engineering from Gurukul Kangri Vishwavidyalaya, Haridwar, followed by an M. Tech. in Mechanical Engineering from the Sant Longowal Institute of Engineering and Technology, Longowal. He pursued his doctoral research as a Ph.D. scholar at the IIT Delhi, focusing on advanced manufacturing technologies.

His research interests include Robotic Cold Metal Transfer–Wire Arc Additive Manufacturing (CMT-WAAM), process parameter optimization, industrial automation, Industrial Internet of Things (IIoT), and digital twin-based manufacturing systems. He has developed a virtual twin framework for robotic WAAM using RoboDK integrated with Slic3r. The framework facilitates process simulation, toolpath optimization, collision detection, and automated process planning, supporting improved manufacturing accuracy and operational efficiency. His work focuses on integrating robotics, simulation, and intelligent manufacturing technologies to enhance process reliability, productivity, and flexibility. Through his academic and research activities, he contributes to engineering education, practical skill development, and the advancement of smart manufacturing solutions for next-generation industrial applications.

• Ph.D. in Robotic Wire Arc Additive Manufacturing | IIT Delhi | 2020–2026
  • Dissertation/Thesis Title: Mechanistic Modeling and Experimental Investigation of Robotic CMTWAAM of SS 317L for Geometry and Mechanical Property Evaluation.
  • Supervisor: Prof. Sunil Jha
• M. Tech in Manufacturing System Engineering | SLIET Longowal | 2017–2019
• B. Tech in Mechanical Engineering | GKV Haridwar | 2012–2016

• Patel N, Nohwal A, Jha S. A virtual twin framework for robotic CMT-WAAM of SS317L steel: Unveiling process-structure-property correlations. Mater Today Commun 2026; 51:114708.
• Patel N, Kumar H, Jha S. Experimental investigation and microstructural characterization of SS317L single-layer weld beads deposited by the cold metal transfer process. Progress in Additive Manufacturing 2025.
• Patel N, Jha S. Surface quality and Chip morphology evaluation of post-milled CMT-WAAM surfaces. Mater Lett 2026; 10:140267.
• Patel N, Jha S, Nohwal A. Comparison of Different Weld Bead Area Prediction Models for Overlay Deposition by Robot-Based Cold Metal Transfer Process. 2025 9th International Conference on Mechanical Engineering and Robotics Research, ICMERR 2025, Institute of Electrical and Electronics Engineers Inc.; 2025, p. 123–7.
• Nohwal A, Patel N, Aravindan S, and Jha S, 2025, “Deep Learning for Automated Defect Recognition in Tungsten Inert Gas Welds of Stainless Steel 304,” Measurement, 253, p. 117850.

• From (08/2026) – (09/2026): [Senior Project Assistant], [IIT Delhi]
• From (09/2020) – (07/2026): [Teaching Assistant], [IIT Delhi]

His research interests include robotic Cold Metal Transfer–Wire Arc Additive Manufacturing (CMT-WAAM), process optimization, digital twin technologies, and smart manufacturing. His current research focuses on industrial automation, the development of Manufacturing Execution Systems (MES), and Computer-Integrated Manufacturing (CIM). He is particularly interested in integrating robotics, digital technologies, and intelligent manufacturing systems to improve production efficiency, process reliability, and manufacturing flexibility. His work aims to advance the implementation of Industry 4.0 principles through the integration of real-time monitoring, virtual simulation, and automated production planning and control.