复杂机械三维CAD装配模型关键功能模块的发现与设计重用

IF 1.9 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Assembly Automation Pub Date : 2021-11-17 DOI:10.1108/aa-06-2021-0073
Zhoupeng Han, Chenkai Tian, Zihan Zhou, Qilong Yuan
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引用次数: 3

摘要

目的复杂机械三维计算机辅助设计(CAD)模型体现了丰富的隐性设计知识。通过提前发现三维CAD装配模型中的关键功能部件和关键功能模块,可以促进设计人员在设计复用中对三维CAD装配模型的理解和复用效率。提出了一种复杂机械三维CAD装配模型中关键功能模块的发现方法。首先,构建三维CAD装配模型的装配网络,基于复杂网络中心性分析三维装配模型的拓扑结构特征;利用节点的度中心性、紧密度中心性、中间度中心性和互信息来评价零件在三维装配模型中的重要性。在此基础上,建立了零件-节点重要性的多属性决策模型,并结合层次分析法和TOPSIS (Order Preference by Similarity by a Ideal Solution)对三维装配模型中关键功能零件进行了综合评价。随后,详细介绍了基于Clauset-Newman-Moore (CNM)中心性的装配模型中功能模块的群体发现。最后以蜗轮减速器的三维CAD装配模型为例,验证了所提方法的有效性和可行性。发现CAD装配模型中关键功能部分的综合评价更客观地考虑了装配拓扑。此外,利用基于cnm - centralality的社团发现,从CAD装配模型中发现包含关键功能部件的关键功能模块。实际意义该方法可用于从复杂的CAD装配模型中发现重要的设计知识。它可以帮助设计师捕捉和理解设计思维和意图,提高重用效率和质量。本文首先利用复杂网络理论提出了一种复杂机械三维CAD装配模型中关键功能模块的发现方法,利用节点中心性和TOPSIS对关键功能部件进行评估,并基于群体发现对关键功能模块进行识别。
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Discovery of key function module in complex mechanical 3D CAD assembly model for design reuse
Purpose Complex mechanical 3D computer-aided design (CAD) model embodies rich implicit design knowledge. Through discovering the key function parts and key function module in 3D CAD assembly model in advance, it can promote the designers’ understanding and reuse efficiency of 3D assembly model in design reuse. Design/methodology/approach An approach for discovering key function module in complex mechanical 3D CAD assembly model is proposed. First, assembly network for 3D CAD assembly model is constructed, where the topology structure characteristics of 3D assembly model are analyzed based on complex network centrality. The degree centrality, closeness centrality, betweenness centrality and mutual information of node are used to evaluate the importance of the parts in 3D assembly model. Then, a multi-attribute decision model for part-node importance is established, and the comprehensive evaluation for key function parts in 3D assembly model is accomplished by combining Analytic Hierarchy Process and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). Subsequently, a community discovery of function module in assembly model-based Clauset–Newman–Moore (CNM)-Centrality is given in details. Finally, 3D CAD assembly model of worm gear reducer is taken as an example to verify the effectiveness and feasibility of proposed method. Findings The key function part in CAD assembly model is evaluated comprehensively considering assembly topology more objectively. In addition, the key function module containing key function part is discovered from CAD assembly model by using CNM-Centrality-based community discovery. Practical implications The approach can be used for discovering important design knowledge from complex CAD assembly model when reusing the assembly model. It can help designers capture and understand the design thinking and intent, improve the reuse efficiency and quality. Originality/value The paper first proposes an approach for discovering key function module in complex mechanical 3D CAD assembly model taking advantage of complex network theory, where the key function part is evaluated using node centrality and TOPSIS, and the key function module is identified based on community discovery.
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来源期刊
Assembly Automation
Assembly Automation 工程技术-工程:制造
CiteScore
4.30
自引率
14.30%
发文量
51
审稿时长
3.3 months
期刊介绍: Assembly Automation publishes peer reviewed research articles, technology reviews and specially commissioned case studies. Each issue includes high quality content covering all aspects of assembly technology and automation, and reflecting the most interesting and strategically important research and development activities from around the world. Because of this, readers can stay at the very forefront of industry developments. All research articles undergo rigorous double-blind peer review, and the journal’s policy of not publishing work that has only been tested in simulation means that only the very best and most practical research articles are included. This ensures that the material that is published has real relevance and value for commercial manufacturing and research organizations.
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