主催: The Institute of Systems, Control and Information Engineers
会議名: 2022国際フレキシブル・オートメーション・シンポジウム
開催地: Hiyoshi Campus, Keio University, Yokohama, Japan
開催日: 2022/07/03 - 2022/07/07
p. 79-86
Combining topology optimization and advanced manufacturing techniques can generate and fabricate parts of complex geometry. In this paper, we present density gradient based formulations for hybrid casting and additive manufacturing in the density-based topology optimization. A location-based Heaviside function is introduced to represent subregions divided by the parting surface. The optimized part in the subregions can be fabricated with casting or additive manufacturing. Constraints related to these two manufacturing techniques are imposed through volume integrals of the location Heaviside function projected density-gradient. Due to the smoothed parameterization of the parting surface, the developed approach can optimize the part and the parting surface simultaneously. Numerical examples are presented to demonstrate the validity and efficiency of the proposed approach.