OT&AM 2020

Topology Optimization, Additive Manufacturing and High-Performance Computing: Opportunities and Challenges

Krishnan Suresh, Professor, Department of Mechanical Engineering, University of Wisconsin, Madison

This talk addresses some of the research challenges and opportunities at the cross-roads of topology optimization, additive manufacturing and high-performance computing.

In the first part of this talk, a specific topology optimization (TO) method, namely, Pareto will be presented. Pareto relies on the concept of topological sensitivity, and can efficiently solve a variety of multi-physics, multi-constrained TO problems. Numerous examples and case-studies will be presented.

In the second part, current efforts on integrating TO and AM will be summarized; topics include support structure minimization, microstructural and multi-material optimization. Finally, the role of high-performance computing in TO and AM simulation will be discussed. A matrix-free deflation technique will be introduced, together with its impact on large-scale simulation. Comparisons will be made against commercial implementations. The talk will conclude with open research challenges.

Design and 3D Printing Fabrication of Active Mechanical Metamaterials

H. Jerry Qi, Professor, George Woodruff School of Mechanical Engineering, Georgia Institute of Technology

High-resolution Multi-Material Topology Optimization with Material and Geometric Nonlinearities

X. Shelly Zhang, Assistant Professor, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign

Additive Manufacturing Constraints for Topology Optimization of Fiber Composite Materials

Emilio C. N. Silva, Professor, Department of Mechatronics and Mechanical Systems Engineering, University of São Paulo

Interdisciplinary use of Additive Manufacturing Models: From Medicine to Archaeology

Jorge Lopes, Professor, Department of Art and Design, Pontifical Catholic University of Rio de Janeiro

Polygonal Interpolants for Topology Optimization: From FEM to VEM

Anderson Pereira, Assistant Professor, Department of Mechanical Engineering, Pontifical Catholic University of Rio de Janeiro

Using Model Reduction to Improve Performance in Topology Optimization of Assemblies

David J. Weinberg, Senior Software Architect, MCP-Digital Manufacturing Group, Nastran Simulation

For over a decade Generative Design has been remarkably popular in the engineering design community due to its capability on designing lightweight structures by optimally distributing materials to carry loads. Autodesk Nastran has implemented generative design since 2014 and rapidly enhancing its capabilities, including multidisciplinary optimization, hierarchical distributed computing, and various manufacturing method-oriented design. Of critical importance is performance as it directly relates to cost and customer satisfaction. Using model reduction for assemblies where support structure is included is the most effective way to handle this. This presentation shows how Nastran SIMP can design complex assemblies using Craig-Bampton reduction to improve performance by statically condensing non-designable support structures into small dense matrixes thus reducing the problem size dramatically with no effect on the optimum design.

Topology Optimization in Biomedical and Biomimetic Applications: Design and Fabrication

Alok Sutradhar, Assistant Professor, Department of Mechanical and Aerospace Engineering, The Ohio State University

Topology optimization and additive manufacturing of multi-material and multi-scale parts with embedded lattices and graded interfaces

Emily D. Sanders, PhD Student, School of Civil and Environmental Engineering, Georgia Institute of Technology