Mini-symposium title
1-8 - Topology Optimization for Additive Manufacturing
Fred van Keulen (TU Delft), Pierre Duysinx (Liège University), Can Ayas (TU Delft)
Mini-symposium description

The spectacular success and the fast development of topology optimization and additive manufacturing techniques are intrinsically related to each other. Topology optimization is a powerful and cost-effective rationale tool to create innovative concepts in engineering. While most of the organic designs from topology optimization are generally too complex for classic manufacturing techniques, the emergence of additive manufacturing technologies have finally made it possible to fabricate these high performance designs. Conversely, taking full advantage of the new additive manufacturing capabilities call for revisiting the classic component designs strongly related to machining fabrication processes. Even if additive manufacturing enables a larger freedom in manufacturing, there are still some specific manufacturing constraints related to particular characteristics of these manufacturing process. As the final structural and physical properties of the 3D printed components are severely influenced by the design and the specifics of the AM process at hand, it is important to account for the manufacturing constraints and effects as soon as the preliminary design process using topology and more generally structural optimization. This context motivates a very active research field in the community of solid mechanics focussing on developing computational techniques that can generate designs “ready-to-print” using additive manufacturing.

This mini-symposium invites researchers to report their contributions in the context of computational techniques for automated creation of “ready-to-print” designs. More specifically, the mini-symposium targets contributions which address:

  • New developments in density-based or alternative approaches in topology and shape optimization in connection with 3D printed components,
  • Adjoin sensitivity analysis in the context of optimization and additive manufacturing,
  • Additive manufacturing constraints for topology and shape optimization,
  • AM design rules and cost prediction models,
  • Additive manufacturing process modelling,
  • Simplified and reduced-order AM process models,
  • Prediction of distortion, residual stresses and process failure of AM fabricated designs,
  • Material modelling for additive manufacturing
  • Optimization and automated design of AM process parameters and support structures.
  • Optimization of structures with lattice and cellular structures,
  • Links with CAD design tools to produce ready-to-print components.
  • Successful research and industrial applications of topology for additive manufacturing.