About The Course

Theme

Smart machine tools are the key elements envisioned for the concept of smart manufacturing. Smart machine tools is the most fascinating area where a huge investment is being done. The realization of the conceptual smart machine tool models and smart inspections can be achieved by the incorporation of well-equipped highly intelligent devices and a strong IT backbone. The current era has already witnessed numerous drastic alterations creating flexibility in the production line leading to a paradigm shift from the traditional manufacturing ensuring the exponential growth in national revenue. This can be realized with the integration of various sub systems including sophisticated software for machine learning, big data analytics, artificial intelligence and neural networking. Providing professional suggestions with various case studies, interactive sessions and panel discussions with industry experts to evaluate the applicability of conceptual models.

Objectives

  • To foster advanced research and education programs focusing on next generation machine tools and inspection.

  • To provide an overview of smart automation which explores the idea of implementing low cost automation mechanisms by selecting smart sensing elements involving PLC, VFD and servo controls.

  • To encourage the young potential researchers to bring out novel concepts that can create revolutionary changes in the manufacturing industries.

  • To establish an open forum for examining and evaluating the ongoing technical advancements in smart manufacturing by overviewing certain predominant industrial case studies.

  • To build up a unique platform to provide valuable feedbacks/suggestions in upgrading the existing technology in order to nurture higher productivity with minimum conservation of energy.

  • Live projects and case studies (Participants will be asked to develop a machine learning algorithm for given machining data).

  • Industrial visit for live experience

Course Content

  • Smart machine tools for sustainable manufacturing.

  • Machine Learning Techniques.

  • Intelligent Sensors.

  • Industrial Internet of Things (IIOT).

  • Intelligent data analysis.

  • Intelligent In-process measurement systems

  • Intelligence in Error Compensation

  • Digital Metrology