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Amrita Bags Research Grant from DRDO-ARDB for Aerospace Machining Digital Twin Project

May 26, 2026 - 2:19
Amrita Bags Research Grant from DRDO-ARDB for Aerospace Machining Digital Twin Project

The Department of Mechanical Engineering at Amrita School of Engineering, Coimbatore, has been awarded a highly valued research grant from the Aeronautics Research and Development Board (ARDB), Defense Research and Development Organization (DRDO) for an extremely advanced research project.

Titled as “Physics Informed Machine Learning Based Modelling of Digital Twins for High-Speed Thin Wall Machining (Turning and Milling) of Aerospace Materials”, the research project has been approved with reference no. ARDB/M&M/4617/2244 issued on 14 May 2026. The total budget allocation of the research project stands at ₹52.51 Lakhs.

The research project has been headed by Dr. P. Krishnakumar, COE and Associate Professor, Department of Mechanical Engineering, Amrita School of Engineering, Coimbatore.

The Co-Principal Investigators for the proposed project are:

  • Dr. K. Rameshkumar, Professor and Head of the Department, Department of Mechanical Engineering
  • Dr. S. Saravanamurugan, Associate Professor, Department of Mechanical Engineering
  • Dr. B. Venkataraman, Distinguished Professor, Amrita School of Engineering, Coimbatore

This proposed project seeks to create state-of-the-art technologies related to Digital Twin in conjunction with Physics-Informed Machine Learning (PIML), thereby enhancing stability, accuracy, and efficiency of the high-speed thin-wall machining operations performed in the aerospace sector.

Challenges to be addressed in this research project include prediction of cutting force, deformations in work piece, chatter stability, effects of tool/work piece damping and effects of fixtures in machining of aerospace metals such as Inconel 718 and AA2014.

Viscoelastic passive dampers that are to be placed between the insert and the tool holder are also included in the project development by the research team.

Such an innovative system for the creation of a digital twin of a machining process integrates experimental techniques, numerical simulation methods, and machine learning-based data-driven strategies to optimize the machining process.

This is another milestone for Amrita Vishwa Vidyapeetham, as the university maintains its mission of conducting high-quality research projects that make substantial impacts on advanced manufacturing and defense technology areas.

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