Layout-Enhanced Topology Optimization (LETO): A modular approach for adaptable and manufacturable designs

IF 5.7 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Advances in Engineering Software Pub Date : 2025-07-01 Epub Date: 2025-03-10 DOI:10.1016/j.advengsoft.2025.103907
Tatsuhito Yoshida , Takayuki Yamada
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Abstract

This paper introduces Layout-Enhanced Topology Optimization (LETO), a modular topology optimization method that extends the potential of the conventional topology optimization. In this approach, a single module shape is optimized to enable adaptation to multiple design objectives by changing the layout through geometrical manipulations applied to the modules. The optimization algorithm simultaneously selects the best layout for each design objective and optimizes the module shape. Numerical examples of a steady-state heat conduction problem are demonstrated to confirm the effectiveness of this method. The results show that, with improved thermal conduction efficiency, the optimized module can be rearranged to suit multiple design objectives, enhancing the adaptability of the conventional topology optimization. LETO has potential applications in mass-production cases, addressing the demand for versatile and manufacturable designs.
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布局增强拓扑优化(LETO):适应性和可制造设计的模块化方法
本文介绍了一种扩展传统拓扑优化潜力的模块化拓扑优化方法——布局增强拓扑优化(LETO)。在这种方法中,通过应用于模块的几何操作来改变布局,对单个模块形状进行优化,以适应多个设计目标。优化算法同时为每个设计目标选择最佳布局,并对模块形状进行优化。通过一个稳态热传导问题的数值算例,验证了该方法的有效性。结果表明,在提高热传导效率的情况下,优化后的模块可以重新排列以适应多个设计目标,增强了传统拓扑优化的适应性。LETO在大规模生产案例中有潜在的应用,解决了对多功能和可制造设计的需求。
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来源期刊
Advances in Engineering Software
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.
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