Research Themes

                   

  1. Optimize the designs by exploiting the additional complexities feasible with AM (DfAM).
  2. Digitize the product creation through Additive Manufacturing (AM)
  3. Create digital product representations of products (Digital Thread), assets and systems (Digital Twin) suitable for smart additive manufacturing
  4. Capturing AM process knowledge through industry specific manufacturing ontologies
  5. Create data driven process models to leverage the data generated from physical and virtual world (Analytics) on AM machines.
  6. Create augmented digital to physical spaces (AR/VR) to test early digital protypes
  7. Create a scaled Smart Factory Test Bed  as a proving ground for the digital AM technologies
  8. Build collaborative interfaces among smart manufacturing assets using cloud manufacturing
  9. Integrate interoperable information systems for lifecycle (PLM), enterprise (MES/ERP) and value chain domains (Supply chain and logistics) suited for smart manufacturing architectures
  10. Build sustainable models of design and manufacture by analysing the cradle to grave impacts of new connected systems and products (Sustainable Product Design and Manufacturing)
  11. To analyse the vulnerabilities and build secure systems using blockchain architecture (Cyber Manufacturing Security).
  12. Decentralize the production processes and create product architectures for distributed manufacturing
  13. Build human-in-loop cognitive systems to bridge operation technology to informational technology through Industrial Internet of Things (Cognitive IoT)