缩小
拓扑优化
网络拓扑
体积热力学
方向(向量空间)
数学优化
计算机科学
灵敏度(控制系统)
组分(热力学)
多目标优化
制造成本
工业工程
拓扑(电路)
工程类
机械工程
数学
有限元法
电子工程
结构工程
热力学
操作系统
电气工程
物理
量子力学
几何学
作者
Kevin Fritz,Il Yong Kim
摘要
Summary The ever‐present demand for increased performance in mechanical systems, and reduced cost and manufacturing time, has led to the adoption of computational design tools and innovative manufacturing methods. One such tool is topology optimization (TO), which often produces designs that are impracticable to manufacture. However, recent developments in additive manufacturing (AM) have made production of such complex designs feasible. Therefore, integration of these technologies has the potential to innovate the design and manufacture of mechanical components. This work presents a novel mathematical methodology for multiobjective minimization of structural compliance and AM cost and time, in simultaneous build orientation and density‐based TO. Component surface area and support volume were implemented in this method as the physical factors influencing AM cost and time. A new methodology was produced to approximate support volume throughout TO with variable build orientation, enabling direct minimization of support volume in the proposed optimization. The methodology allows derivation of sensitivity expressions, thereby permitting the use of efficient gradient‐based optimization solvers. Three numerical examples demonstrated that the proposed methodology can efficiently produce optimum build orientations and topologies, which significantly reduce structural compliance and AM cost and time.
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