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

IF 4 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Advances in Engineering Software Pub Date : 2025-03-10 DOI:10.1016/j.advengsoft.2025.103907
Tatsuhito Yoshida , Takayuki Yamada
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引用次数: 0

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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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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