M2DO: Multiscale and Multiphysics Design Optimization Considering Manufacturability

Professor H. Alicia Kim and Dr. Hayoung Chung

With the development of Additive Manufacturing (AM) technology, an architected material (a material with designed internal architecture, e.g. honeycomb structure) is attracting increasing attention because of the potential of a material manipulation. Through AM technology, an unconventional multiscale and multiphysical behaviors can be realized, such as generating exotic internal material structures and their combinations.
Topology optimization (TO) presents a systematic approach to design optimal material and structures mathematically. A broad scheme of a multiscale topology optimization has recently been introduced, which determines the optimal material properties and simultaneously optimizes spatially varying architected material. Homogenization-based TO is a popular approach to the multiscale optimization, but has a salient limitation as it does not consider how the unit cells are interconnected within the material. Since the unit cells are often disconnected within the structure, the architecture of the material becomes implausible in reality. To overcome such issue, Professor H Alicia Kim and her researchers are pushing the state-of-art techniques of TO, to develop a multiscale optimization framework where the macroscopic structure and multiple well-connected architected materials are simultaneously optimized. 
Afterward, this approach is adopted to study coupled multiphysics design problems where the structure interacts with its surroundings, e.g., aeroelasticity-structure coupling, mechanical-thermal systems and acoustic/optical metamaterials, through which the quantitative benefit and potential introduced by multi-scale architecture can be understood clearly.
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