使用基于相似性的检索方法检索 B-rep 模型中设计特征的关系描述符

IF 8 1区 工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Advanced Engineering Informatics Pub Date : 2024-10-01 DOI:10.1016/j.aei.2024.102877
Changmo Yeo, Sang-Uk Cheon, Seungeun Lim, Jun Hwan Park, Duhwan Mun
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引用次数: 0

摘要

设计特征指的是零件内的局部形状或区域,它们具有特定的功能,如紧固和力传递。这些设计特征必须从产品设计结果中识别出来,以便进行设计验证、制造评估和流程规划。设计特征是由各种形状特征组合而成的,这给使用现有方法检索单个特征带来了挑战。因此,本研究引入了一种关系描述符,用于描述拓扑元素之间的关系特征,以检索边界表示(B-rep)模型中的设计特征。此外,还提出了一种通过将关系描述符与形状描述符相结合来检索设计特征的方法。为了验证所提出的方法,进行了识别特定设计特征的实验。实验结果成功检索了 B-rep 模型中包含的所有设计特征。
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Relational descriptors for retrieving design features in a B-rep model using the similarity-based retrieval approach
Design features refer to local shapes or regions within a part that perform specific functions such as fastening and force transmission. These design features must be identified from product design results to conduct design verification, manufacturing evaluation, and process planning. Design features are formed by combining various form features, which poses a challenge when using existing methods to retrieve individual features. Therefore, this study introduced a relational descriptor that describes the relational characteristics between topological elements to retrieve design features in boundary representation (B-rep) models. In addition, a method to retrieve design features by combining the relational descriptor with shape descriptors was proposed. Experiments were performed to identify specific design features to validate the proposed method. The experimental results successfully retrieved all the design features included in the B-rep model.
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来源期刊
Advanced Engineering Informatics
Advanced Engineering Informatics 工程技术-工程:综合
CiteScore
12.40
自引率
18.20%
发文量
292
审稿时长
45 days
期刊介绍: Advanced Engineering Informatics is an international Journal that solicits research papers with an emphasis on 'knowledge' and 'engineering applications'. The Journal seeks original papers that report progress in applying methods of engineering informatics. These papers should have engineering relevance and help provide a scientific base for more reliable, spontaneous, and creative engineering decision-making. Additionally, papers should demonstrate the science of supporting knowledge-intensive engineering tasks and validate the generality, power, and scalability of new methods through rigorous evaluation, preferably both qualitatively and quantitatively. Abstracting and indexing for Advanced Engineering Informatics include Science Citation Index Expanded, Scopus and INSPEC.
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