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Structural and Multidisciplinary Optimization for Additive Manufacturing Emphasizing Nonlinear Problems

Junji Kato, Nagoya University

Mingdong Zhou, Shanghai Jiao Tong University

Shikui Chen, Stonybrook University

Ekkehard Ramm, University of Stuttgart

Bin Niu, Dalian University of Technology

The combination of topology optimization and additive manufacturing (AM) provides numerous opportunities in academia and industry in realizing complex geometric designs with optimized structural performances. Due to the inherently nonlinear nature, design optimization approaches must be developed to consider nonlinear behaviors such as the AM process simulation, the prediction of micro-level material property and macro-level structural behavior of the formed parts. However, the majority of current computational design methodologies that are still based on optimization and numerical modelling of linear responses. This triggers broad interests in formulating and developing effective computational approaches for structural and multidisciplinary design optimization for AM that rely on complex nonlinear models. This mini-symposium is devoted to the latest developments and applications of structural and multidisciplinary optimization for AM considering nonlinear problems. The topics of interest include, but are not limited to: • Structural sizing, shape and topology optimization with AM process simulation • Infill and support structure design optimization for AM • Multi-scale and cellular structural optimization considering nonlinear behaviors • Design optimization of heterogeneous material, composites, polymers, shape memory alloys with nonlinear properties etc. • Design optimization considering AM manufacturing constraints • Structural optimization with nonlinear responses: geometrical, material, contact etc. • Multidisciplinary structural optimization based on multi-physics phenomena. • Design optimization considering fluid mechanics, thermo-mechanics and FSI etc.