Kang Jia , Hao Wang , Dongxu Ren , Bingqing Liu , Qiangqiang Zhao , Jun Hong
{"title":"A general mathematic model framework for assembly process driven digital twin of assembly precision","authors":"Kang Jia , Hao Wang , Dongxu Ren , Bingqing Liu , Qiangqiang Zhao , Jun Hong","doi":"10.1016/j.jmsy.2024.09.007","DOIUrl":null,"url":null,"abstract":"<div><div>In precision mechanical machinery, integrating geometric measurements with virtual models to create a digital twin of assembly precision is a key development trend for enhancing assembly accuracy. However, current assembly geometry evaluations are mainly focused on target functional requirements and are insufficient to represent the dynamic geometry of the product during the assembly process, which is crucial for a digital twin. In this context, this paper presents a general mathematical model framework for a digital twin of assembly geometry precision, driven by the assembly process. The framework includes two key aspects. The first aspect is an integrated coordinate system for evaluating assembly geometry precision. This system consists of multi-layer assembly objects, feature assembly defects, and assembly deviations. The second aspect is a two-step assembly deviation propagation and update calculation framework driven by single-step assembly operations. This framework supports the integration of various deviation propagation methods for joint surfaces and provides dynamic updates of the assembly geometry for the as-built product. The assembly of a high-pressure compressor rotor demonstrates that the developed digital twin model of assembly geometry precision dynamically updates as the assembly progresses, incorporating measurement data. This model can be delivered as a digital instance of assembly geometric precision along with the product. It is anticipated to provide digital tool support for the precision twinning of complex product assemblies, fostering advancements in assembly precision modeling and optimization.</div></div>","PeriodicalId":16227,"journal":{"name":"Journal of Manufacturing Systems","volume":"77 ","pages":"Pages 196-211"},"PeriodicalIF":12.2000,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Manufacturing Systems","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0278612524002103","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
In precision mechanical machinery, integrating geometric measurements with virtual models to create a digital twin of assembly precision is a key development trend for enhancing assembly accuracy. However, current assembly geometry evaluations are mainly focused on target functional requirements and are insufficient to represent the dynamic geometry of the product during the assembly process, which is crucial for a digital twin. In this context, this paper presents a general mathematical model framework for a digital twin of assembly geometry precision, driven by the assembly process. The framework includes two key aspects. The first aspect is an integrated coordinate system for evaluating assembly geometry precision. This system consists of multi-layer assembly objects, feature assembly defects, and assembly deviations. The second aspect is a two-step assembly deviation propagation and update calculation framework driven by single-step assembly operations. This framework supports the integration of various deviation propagation methods for joint surfaces and provides dynamic updates of the assembly geometry for the as-built product. The assembly of a high-pressure compressor rotor demonstrates that the developed digital twin model of assembly geometry precision dynamically updates as the assembly progresses, incorporating measurement data. This model can be delivered as a digital instance of assembly geometric precision along with the product. It is anticipated to provide digital tool support for the precision twinning of complex product assemblies, fostering advancements in assembly precision modeling and optimization.
期刊介绍:
The Journal of Manufacturing Systems is dedicated to showcasing cutting-edge fundamental and applied research in manufacturing at the systems level. Encompassing products, equipment, people, information, control, and support functions, manufacturing systems play a pivotal role in the economical and competitive development, production, delivery, and total lifecycle of products, meeting market and societal needs.
With a commitment to publishing archival scholarly literature, the journal strives to advance the state of the art in manufacturing systems and foster innovation in crafting efficient, robust, and sustainable manufacturing systems. The focus extends from equipment-level considerations to the broader scope of the extended enterprise. The Journal welcomes research addressing challenges across various scales, including nano, micro, and macro-scale manufacturing, and spanning diverse sectors such as aerospace, automotive, energy, and medical device manufacturing.