3D decomposition optimization of topology-optimized structures considering a build volume constraint for additive manufacturing

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2024-09-14 DOI:10.1016/j.cma.2024.117357
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Abstract

The integration of topology optimization and additive manufacturing (AM) offers a transformative approach to designing and fabricating complex structures across various industries. This synergy enables engineers to produce lightweight, high-performance designs with intricate, organic geometries that push the boundaries of conventional manufacturing methods. However, printing large 3D objects that exceed the allowable build volume of an AM machine poses a significant challenge. This necessity has led to the development of methodologies such as part decomposition (PD) to fit these objects within the build volume constraint. Previous studies have contributed to solving PD problems, but several limitations, such as the use of Euler angle representation and the lack of practical decomposed designs, need to be addressed. To the best of the authors’ knowledge, this is the first paper to develop a 3D decomposition optimization methodology for topology-optimized structures by establishing a novel rotational system and modeling joint mechanical properties. The novel rotational system, using a non-unit quaternion representation, is established to eliminate the singularity issue inherent in the Euler angle representation. This approach also allows for the effective optimization of partitioning cuboids, which represent the allowable AM build volume, by removing the unit-length constraint. Additionally, the joint mechanical properties at the interface between decomposed parts are modeled using geometrically represented hollow cuboids. Furthermore, analytical sensitivity expressions with respect to new design variables, including explicit variables of partitioning cuboids and rotation variables of non-unit quaternions, are derived and numerically verified to efficiently solve the decomposition optimization problem. Through practical case studies, the 3D decomposition optimization methodology demonstrates its effectiveness under various conditions, including varying maximum allowable AM build volumes, different initial partitioning cuboid layouts, and various joint mechanical properties.

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拓扑优化结构的三维分解优化,考虑增材制造的构建体积约束
拓扑优化与增材制造(AM)的整合为各行各业设计和制造复杂结构提供了一种变革性的方法。这种协同作用使工程师能够制造出轻质、高性能的设计,其复杂、有机的几何形状突破了传统制造方法的界限。然而,打印大型三维物体时,如果超出了 AM 机器的允许制造体积,就会带来巨大的挑战。这种必要性促使人们开发了部件分解(PD)等方法,以便在构建体积限制内适应这些物体。以前的研究为解决 PD 问题做出了贡献,但仍有一些局限性需要解决,如使用欧拉角表示法和缺乏实用的分解设计。据作者所知,这是第一篇通过建立新型旋转系统和关节力学性能建模,为拓扑优化结构开发三维分解优化方法的论文。新型旋转系统采用非单位四元数表示法,以消除欧拉角表示法固有的奇异性问题。这种方法还可以通过消除单位长度限制,有效优化代表允许 AM 构建体积的分割立方体。此外,还使用几何表示的空心立方体来模拟分解部件之间界面的连接机械性能。此外,还推导出了与新设计变量(包括分割立方体的显式变量和非单位四元数的旋转变量)相关的分析灵敏度表达式,并对其进行了数值验证,从而有效地解决了分解优化问题。通过实际案例研究,三维分解优化方法展示了其在各种条件下的有效性,包括不同的最大允许 AM 构建体积、不同的初始分区立方体布局和不同的连接机械性能。
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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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