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Computational Tools: Pushing the Frontiers of DfAM – November 2021

Key Research Theme Leader:

Dr Ajit Panesar – Imperial College London


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 was organised in partnership with the DfAM Network and Imperial College London and took place online featuring presentations and interactive sessions.

Recordings of the event:

Welcome from Prof Allan Rennie
Design for Multi functional Meta-Materials & the role of Machine Leaning in DfAM.
Dr Ajit Panesar
Realistic Performance Prediction of Advanced AM Structures.
Prof Stefanie Feih
Physics-based Design Tools for AM.
Prof Albert To
Please Send AM Design Tools.
Andrew Triantaphyllou
The Convergence of Design & Make in AM. Dr Bhupen Lodhia
Additive Manufacturing Process Simulations to Improve Properties.
Tyler London

Efficient Design for Additive Manufacturing. Tom Goodwin
Space-Time Topology Optimization for Additive Manufacturing.
Dr Jun Wu
Rethinking the Role of Software Platforms for Additive Manufacturing.
Prof Brent Stucker
Made Smarter & Opportunities for Funding. Dr Richard Cooper
Closing remarks.
Dr Ajit Panesar & Dr Patrick Pradel