Concurrent Topology Optimization of Sandwich Structures with Multi-Configuration and Variable-Diameter Lattice Infill

作     者：Ji, Wei Bai, Yingchun Jiang, Chao Liu, Jianhua Yan, Qingdong Han, Xu 

作者机构：School of Mechanical Engineering Beijing Institute of Technology Beijing100081 China State Key Laboratory of Advance Design and Manufacturing for Vehicles Hunan University Changsha410082 China State Key Laboratory of Reliability and Intelligence of Electrical Equipment School of Mechanical Engineering Hebei University of Technology Tianjin300401 China 

出 版 物：《SSRN》 

年 卷 期：2024年

核心收录：

主　　题：Sandwich structures 

摘      要：The superior stiffness-to-weight and strength-to-weight mechanical advantages of sandwich structures can be fully exploited through concurrent design of entire topology, infill configuration and density, where the high-performance yet complicated structure can be fabricated through additive manufacturing. However, the emerging design challenges are concurrent design updating related to sandwich topology, infill configuration and density, which is a design problem with continuous and discrete variables mathematically. In this paper, a concurrent topology optimization is proposed for sandwich structures with multi-configuration and variable-diameter lattice infill. Three design variable fields are employed to describe the fundamental topology considering sandwich structural topology, infill configuration and density simultaneously. Corresponding material interpolation model is developed by combining DSP-based shell-infill description and multi-response latent-variable surrogate model based effective material property calculation. Two-stage design model is formulated as a rough design model considering all design variables followed by a refined design model with only infill density variables, which is developed to strictly satisfy the material allowance constraint due to the mapping between discrete infill configuration variables and continuous latent configuration variables. Corresponding sensitivities of compliance and mass with respect to the structural topology, infill configuration and density variables are derived, and the method of moving asymptotes (MMA) is employed to solve the design model efficiently. Several numerical examples are present to systematically demonstrate the effectiveness of the proposed approach. © 2024, The Authors. All rights reserved.