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Abstract Linear Background

Digital Twins for Machining Process and Measurement system of a Milling Machine

Image by Scott Webb

Objectives

  • To develop/utilize the sensing technology to procure the required real-time data.

  • To develop machine learning algorithms to analyse the real-time data and improve the decision making.

  • To run simulations to locate the issues, analyse the problems and generate insights to improve the characteristics of the system.

  • To apply the solutions to the real-time system and study the performance of the system.

  • To impart knowledge in the specific areas of micromanufacturing including conventional and advanced techniques especially laser micromachining, electric discharge machining and hybrid machining techniques.

  • To impart knowledge in the area of surface modification and its effect on the materials such as wetting behavior of the surface, the laser-matter interaction and others.

  • To also impart the knowledge in the area of Digital metrology for effective characterization and understanding of the physical concepts.

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Development of Digital Twin of Manufacturing Process and Measurement System
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DT framework of Autonomous factory
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Digital Twin framework of Autonomous Mobile Robot

Collaborators

  • Prof. GL Samuel (Mechanical Engineering, IIT Madras)

  • Prof. R Jeyaganthan (Engineering Design, IIT Madras)

  • Prof. Ramnathan (Engineering Design, IIT Madras)

  • Dr. N Arunachalam (Mechanical Engineering, IIT Madras)

People

  • Mr. T Rajesh Babu

  • Mr. Deep Singh

  • Mr. M Selvakumar

  • Mr. Steven John 

  • Mr. Rajasekar K

  • Mrs. Bhuvana S

Contact

For any queries and discussions

+91 9444468251

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