A dynamic topology optimization design method based on multiple domain variable parameters

Shipei Li, Ruixia Niu, Qi Wang, Tingjun Wang
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Abstract

Topology optimization has been extensively studied for obtaining desired functional performances of a structure within a predefined design domain. However, existing topology optimization approaches mainly focus on the static structure. Additionally, a structure is generally consisted of multiple materials and its loading state is quite complicated in practical applications, which are seldom considered simultaneously during design optimization. In this paper, a dynamic topology optimization design method based on multiple domain variable parameters is proposed to solve these issues. First, a structure is divided into multiple domains, and an optimal topology model of discrete structure is proposed. Then, the constraints are relaxed and a per-element variable is introduced to process the design variables continuously. To eliminate the undesirable checkerboard patterns, a filtering method is proposed and an approach of projection is presented for determining the volume of the projected structure according to the practical design requirements. After that, a dynamic continuous optimization model is put forward for solving the optimal solution of the complex structure under various working conditions. Finally, the effectiveness and efficiency of the proposed method are validated by constructing a topology optimized link of the press.
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基于多域变量参数的动态拓扑优化设计方法
为了在预定义的设计领域内获得结构所需的功能性能,拓扑优化已被广泛研究。然而,现有的拓扑优化方法主要针对静态结构。此外,在实际应用中,结构一般由多种材料组成,其负载状态也相当复杂,在优化设计时很少同时考虑这些因素。本文提出了一种基于多域变量参数的动态拓扑优化设计方法来解决这些问题。首先,将结构划分为多个域,并提出离散结构的最优拓扑模型。然后,放松约束条件,引入每个元素变量来连续处理设计变量。为了消除不理想的棋盘图案,提出了一种滤波方法,并根据实际设计要求提出了一种确定投影结构体积的投影方法。随后,提出了一种动态连续优化模型,用于求解各种工况下复杂结构的最优解。最后,通过构建压力机的拓扑优化链接,验证了所提方法的有效性和效率。
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来源期刊
CiteScore
5.10
自引率
30.80%
发文量
167
审稿时长
5.1 months
期刊介绍: Manufacturing industries throughout the world are changing very rapidly. New concepts and methods are being developed and exploited to enable efficient and effective manufacturing. Existing manufacturing processes are being improved to meet the requirements of lean and agile manufacturing. The aim of the Journal of Engineering Manufacture is to provide a focus for these developments in engineering manufacture by publishing original papers and review papers covering technological and scientific research, developments and management implementation in manufacturing. This journal is also peer reviewed. Contributions are welcomed in the broad areas of manufacturing processes, manufacturing technology and factory automation, digital manufacturing, design and manufacturing systems including management relevant to engineering manufacture. Of particular interest at the present time would be papers concerned with digital manufacturing, metrology enabled manufacturing, smart factory, additive manufacturing and composites as well as specialist manufacturing fields like nanotechnology, sustainable & clean manufacturing and bio-manufacturing. Articles may be Research Papers, Reviews, Technical Notes, or Short Communications.
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