FreeTO - Freeform 3D topology optimization using a structured mesh with smooth boundaries in Matlab

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software Pub Date : 2024-10-09 DOI:10.1016/j.advengsoft.2024.103790

Osezua Ibhadode , Yun-Fei Fu , Ahmed Qureshi

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引用次数: 0

Abstract

Topology optimization has revolutionized the design of structures for various applications, particularly with the advancement of additive manufacturing. However, existing open-source codes for topology optimization have limitations, such as restricted domain initialization and lack of a CAD output after optimization. A novel open-source Matlab code, FreeTO, is presented, and it addresses these limitations by enabling the initialization of 3D arbitrary geometries and providing an STL file post-optimization. FreeTO utilizes a structured mesh and a smooth-edge (boundary) algorithm to generate smooth topological boundaries. The code is demonstrated through six practical design cases, showcasing its effectiveness in compliance minimization, compliant mechanisms, and self-supporting problems. FreeTO offers a user-friendly, all-in-one topology optimization package, making it an invaluable tool for educators, researchers, and practitioners. Future developments will focus on eliminating a few geometrical deviations in the optimized topologies, incorporating speedups, and extending the code to apply to more applications.

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FreeTO - 在 Matlab 中使用具有平滑边界的结构网格进行自由形态三维拓扑优化

拓扑优化彻底改变了各种应用领域的结构设计，特别是随着增材制造技术的发展。然而，现有的拓扑优化开源代码有其局限性，如域初始化受限和优化后缺乏 CAD 输出。本文介绍了一种新颖的开源 Matlab 代码 FreeTO，它通过支持三维任意几何图形的初始化和提供优化后的 STL 文件来解决这些局限性。FreeTO 利用结构化网格和平滑边缘（边界）算法生成平滑的拓扑边界。该代码通过六个实际设计案例进行了演示，展示了其在顺应性最小化、顺应机构和自支撑问题上的有效性。FreeTO 提供了用户友好的一体化拓扑优化软件包，是教育工作者、研究人员和从业人员的宝贵工具。未来的开发重点将是消除优化拓扑中的一些几何偏差，提高速度，并扩展代码以适用于更多应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Advances in Engineering Software 工程技术-计算机：跨学科应用

CiteScore

7.70

自引率

4.20%

发文量

169

审稿时长

37 days

期刊介绍： The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving. The scope of the journal includes: • Innovative computational strategies and numerical algorithms for large-scale engineering problems • Analysis and simulation techniques and systems • Model and mesh generation • Control of the accuracy, stability and efficiency of computational process • Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing) • Advanced visualization techniques, virtual environments and prototyping • Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations • Application of object-oriented technology to engineering problems • Intelligent human computer interfaces • Design automation, multidisciplinary design and optimization • CAD, CAE and integrated process and product development systems • Quality and reliability.