A Review of Methods for the Geometric Post-Processing of Topology Optimized Models
A Review of Methods for the Geometric Post-Processing of Topology Optimized Models
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DOI：
10.1115/1.4047429
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发表时间：
2020-06
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通讯作者：
Subodh C. Subedi;C. Verma;K. Suresh
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作者：
Subodh C. Subedi;C. Verma;K. Suresh
拓扑优化（TO）已迅速从一个学术练习发展成为一个令人兴奋的学科与众多的工业应用。已经建立了各种TO算法，并且现在可以获得几个商业TO软件包。然而，TO的一个主要挑战是下游应用的优化模型的后处理。通常，由TO生成的最优拓扑是从底层有限元网格中提取的分面（三角化）模型。这些三角化模型是密集的，质量差，缺乏特征/参数控制。这给下游应用带来了严峻的挑战，例如原型/测试、设计验证和设计探索。解决这个问题的一个策略是直接将下游要求作为TO算法中的约束。然而，这不仅限制了设计空间，甚至可能导致TO失败。后处理与TO的分离更加稳健和灵活。本文的目的是提供一个批判性的审查各种后处理方法，并根据目标应用程序和基本策略进行分类。本文最后提出了尚未解决的挑战和今后的工作。
Topology optimization (TO) has rapidly evolved from an academic exercise into an exciting discipline with numerous industrial applications. Various TO algorithms have been established, and several commercial TO software packages are now available. However, a major challenge in TO is the post-processing of the optimized models for downstream applications. Typically, optimal topologies generated by TO are faceted (triangulated) models, extracted from an underlying finite element mesh. These triangulated models are dense, poor quality, and lack feature/parametric control. This poses serious challenges to downstream applications such as prototyping/testing, design validation, and design exploration. One strategy to address this issue is to directly impose downstream requirements as constraints in the TO algorithm. However, this not only restricts the design space, it may even lead to TO failure. Separation of post-processing from TO is more robust and flexible. The objective of this paper is to provide a critical review of various post-processing methods and categorize them based both on targeted applications and underlying strategies. The paper concludes with unresolved challenges and future work.