面向特征CAD处理的后处理特征映射拓扑优化设计

IF 3.6 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Structural and Multidisciplinary Optimization Pub Date : 2023-11-01 DOI:10.1007/s00158-023-03650-5
T. Shannon, T. T. Robinson, A. Murphy, C. G. Armstrong
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引用次数: 0

摘要

摘要特征映射(FM)优化框架在具有显式几何参数的结构拓扑优化方面受到广泛关注。本文提出了一种从使用移动变形元件(MMC)生成的设计中构建基于参数特征的CAD模型的方法。重点放在构建符合传统建模实践的基于特征的CAD模型上,其中使用特征模板对单个参数化特征进行建模,并通过布尔联合操作进行统一。这涉及到使用算法来促进特征清理和识别特征之间的联系。通过几个例子演示了开发的算法如何从FM优化的结果中实现基于特征的CAD模型。与商业CAD系统的集成为下游设计任务的设计师提供了广泛的建模能力。
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Post-processing feature-mapping topology optimisation designs towards feature-based CAD processing
Abstract Feature-mapping (FM) optimisation frameworks have received much attention for structural topology optimisation with explicit geometric parameters. This paper presents a methodology for constructing parametric feature-based CAD models from designs generated using Moving Morphable Components (MMC). Emphasis is placed on constructing feature-based CAD models that conform to conventional modelling practices, where individual parameterised features are modelled using feature templates and united through Boolean union operations. This involves the use of algorithms to facilitate feature clean-up and identify connexions between features. The progression through several examples demonstrates how the developed algorithms can realise a feature-based CAD model from the results of an FM optimisation. Integration with a commercial CAD system provides a wide range of modelling capabilities to the designer for downstream design tasks.
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来源期刊
Structural and Multidisciplinary Optimization
Structural and Multidisciplinary Optimization 工程技术-工程:综合
CiteScore
7.60
自引率
15.40%
发文量
304
审稿时长
3.6 months
期刊介绍: The journal’s scope ranges from mathematical foundations of the field to algorithm and software development, and from benchmark examples to case studies of practical applications in structural, aero-space, mechanical, civil, chemical, naval and bio-engineering. Fields such as computer-aided design and manufacturing, uncertainty quantification, artificial intelligence, system identification and modeling, inverse processes, computer simulation, bio-mechanics, bio-medical applications, nano-technology, MEMS, optics, chemical processes, computational biology, meta-modeling, DOE and active control of structures are covered when the topic is closely related to the optimization of structures or fluids. Structural and Multidisciplinary Optimization publishes original research papers, review articles, industrial applications, brief notes, educational articles, book reviews, conference diary, forum section, discussions on papers, authors´ replies, obituaries, announcements and society news.
期刊最新文献
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