Topology optimization based on reduction methods with applications to multiscale design and additive manufacturing
作者机构：Department of Civil EngineeringJohns Hopkins UniversityBaltimoreMD 21218USA Toyota Central R&D Labs.Inc.NagakuteAichi 480-1192Japan
出 版 物：《Frontiers of Mechanical Engineering》 (机械工程前沿（英文版）)
年 卷 期：2020年第15卷第1期
页 面：151-165页
核心收录：
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0802[工学-机械工程] 0801[工学-力学（可授工学、理学学位）] 080201[工学-机械制造及其自动化]
基 金：This research was supported in part by the US National Science Foundation(NSF)under Grant Number 1462453 in part by the National Aeronautics and Space Administration(NASA)under Grant Number 80NSSC18K0428.Any opinions,findings,and conclusions or recommendations expressed in this article are those of the author(s)and do not necessarily reflect the views of NSF or NASA
主 题：multiscale topology optimization micro-structure additive manufacturing reduction techniques substructuring static condensation super-element
摘 要：Advanced manufacturing processes such as additive manufacturing offer now the capability to control material placement at unprecedented length scales and thereby dramatically open up the design *** includes the considerations of new component topologies as well as the architecture of material within a topology offering new paths to creating lighter and more efficient *** optimization is an ideal tool for navigating this multiscale design problem and leveraging the capabilities of advanced manufacturing ***,the resulting design problem is computationally challenging as very fine discretizations are needed to capture all micro-structural *** this paper,a method based on reduction techniques is proposed to perform efficiently topology optimization at multiple *** method solves the design problem without length scale separation,i.e.,without iterating between the two ***,connectivity between space-varying micro-structures is naturally *** design problems for various types of micro-structural periodicity are performed to illustrate the method,including applications to infill patterns in additive manufacturing.
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