Computational Tools: Pushing the Frontiers of DfAM
Computational Tools: Pushing the Frontiers of DfAM – 10th November 2021
DfAM is slowly but steadily seeing a shift from a more expertise driven discipline to a more data driven one. The emergence and maturation of powerful methods such as topology optimisation approaches that encompass infills/lattice and considers manufacturability and material anisotropy is challenging the status-quo of what DfAM entails.
This thematic area intends to bring experts, practitioners and enthusiasts alike from academia and industry to help define what role does computational tools play in the future direction of DfAM.
The event is organised in partnership with the DfAM Network and Imperial College London. It will take place online and will feature presentations and interactive sessions.
Draft agenda 12.30pm – 5.30pm (GMT)
- Dr Ajit Panesar, Imperial College London, “Design for Multifunctional Meta-Materials and the Role of Machine Learning in DfAM“
- Prof Stefanie Feih, Griffith University, “Realistic Performance Prediction of Advanced AM Structures”
- Keynote Speaker:
- Prof Albert To, University of Pittsburgh, “Physics-based Design Tools for Additive Manufacturing”
- Andrew Triantaphyllou, MTC “TBC”
- Dr Bhupen Lodhia, Autodesk “The Convergence of Design and Make in Additive Manufacturing”
- Tyler London, TWI, “Additive Manufacturing Process Simulations to Improve Properties”
- Tom Goodwin, Altair “Efficient Design for Additive Manufacturing”
- Interactive sessions
- Dr Jun Wu, TU Delft, “Space-Time Topology Optimization for Additive Manufacturing”
- Prof Brent Stucker, 3D Systems Corporation, “Rethinking the Role of Software Platforms for Additive Manufacturing”
- Dr Richard Cooper, KTN “AM within ‘Made Smarter’ and Opportunities for Funding”