具有增材制造约束的时空等几何拓扑优化

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Li Yang , Weiming Wang , Ye Ji , Chun-Gang Zhu , Charlie C.L. Wang
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引用次数: 0

摘要

提出了一种新型的增材制造时空等几何拓扑优化(ITO)框架,实现了结构形状和加工顺序的并行优化,并具有精确的几何表示。该方法将密度分布函数与伪时间函数集成在一起,以优化复杂结构的构建序列,目标函数是最小化外部载荷下的顺应性,并考虑制造过程中的自重效应。在b样条控制点处定义密度值和虚拟热传导系数作为设计变量。采用基于热传导的公式来生成伪时间函数,以防止产生孤立或漂浮的材料区域。由伪时间梯度定义的层厚度约束进一步提高了可制造性。通过二维和三维算例验证了该方法在整体结构刚度和中间结构自重目标管理方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Space–time isogeometric topology optimization with additive manufacturing constraints

Space–time isogeometric topology optimization with additive manufacturing constraints
This paper presents a novel space–time isogeometric topology optimization (ITO) framework for additive manufacturing, enabling concurrent optimization of structural shape and fabrication sequence with accurate geometric representation. The method integrates a density distribution function with a pseudo-time function to optimize build sequences for complex structures, with an objective function that minimizes compliance under external loads and accounts for self-weight effects during fabrication. Density values and virtual heat conduction coefficients are defined at B-spline control points to serve as design variables. A heat conduction-based formulation is employed to generate the pseudo-time function so that prevents the generation of isolated or floating material regions. A layer thickness constraint, defined by the pseudo-time gradient, further enhances manufacturability. The approach has been validated in 2D and 3D examples, demonstrating its effectiveness in managing objectives of entire structure’s stiffness and self-weight of intermediate structures.
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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