Xuehao Sun, Fengli Zhang, Xiaotong Niu, Jinjiang Wang
{"title":"基于情景模拟的机床数字孪生调试方法","authors":"Xuehao Sun, Fengli Zhang, Xiaotong Niu, Jinjiang Wang","doi":"10.1016/j.jmsy.2024.10.017","DOIUrl":null,"url":null,"abstract":"<div><div>Commissioning machine tools before machining is crucial for improving efficiency and performance. Current virtual commissioning technologies have limitations, such as detachment from operation scenarios, which can reduce commissioning effect. This paper presents a digital twin commissioning method for machine tools based on scenario simulation. The method takes into account the machining conditions to build virtual machining scenarios and carries out virtual machining commissioning based on a twin model. The digital twin model of the machine tool is constructed using the unified multi-domain modelling language to ensure consistent response to machining conditions, control effect, and mapping effect of real and virtual parameter changes. Secondly, the machining scenario simulation strategy is formulated and the decoupling analysis for the machining process is carried out to achieve the parametric representation of the working conditions and the simulation of the machining loads. Finally, the parameter adjustment and optimization are investigated under variable machining conditions and variable parameters. The experimental results demonstrate that the proposed method reduces the commissioning time of the spindle machining system of machine tools, decreases the response time by approximately 12 %, and reduces the steady-state error by about 52 %. These findings confirm the effectiveness of the proposed method and its feasibility for field application.</div></div>","PeriodicalId":16227,"journal":{"name":"Journal of Manufacturing Systems","volume":"77 ","pages":"Pages 697-707"},"PeriodicalIF":12.2000,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A digital twin commissioning method for machine tools based on scenario simulation\",\"authors\":\"Xuehao Sun, Fengli Zhang, Xiaotong Niu, Jinjiang Wang\",\"doi\":\"10.1016/j.jmsy.2024.10.017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Commissioning machine tools before machining is crucial for improving efficiency and performance. Current virtual commissioning technologies have limitations, such as detachment from operation scenarios, which can reduce commissioning effect. This paper presents a digital twin commissioning method for machine tools based on scenario simulation. The method takes into account the machining conditions to build virtual machining scenarios and carries out virtual machining commissioning based on a twin model. The digital twin model of the machine tool is constructed using the unified multi-domain modelling language to ensure consistent response to machining conditions, control effect, and mapping effect of real and virtual parameter changes. Secondly, the machining scenario simulation strategy is formulated and the decoupling analysis for the machining process is carried out to achieve the parametric representation of the working conditions and the simulation of the machining loads. Finally, the parameter adjustment and optimization are investigated under variable machining conditions and variable parameters. The experimental results demonstrate that the proposed method reduces the commissioning time of the spindle machining system of machine tools, decreases the response time by approximately 12 %, and reduces the steady-state error by about 52 %. These findings confirm the effectiveness of the proposed method and its feasibility for field application.</div></div>\",\"PeriodicalId\":16227,\"journal\":{\"name\":\"Journal of Manufacturing Systems\",\"volume\":\"77 \",\"pages\":\"Pages 697-707\"},\"PeriodicalIF\":12.2000,\"publicationDate\":\"2024-10-29\",\"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/S0278612524002425\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Manufacturing Systems","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0278612524002425","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}
A digital twin commissioning method for machine tools based on scenario simulation
Commissioning machine tools before machining is crucial for improving efficiency and performance. Current virtual commissioning technologies have limitations, such as detachment from operation scenarios, which can reduce commissioning effect. This paper presents a digital twin commissioning method for machine tools based on scenario simulation. The method takes into account the machining conditions to build virtual machining scenarios and carries out virtual machining commissioning based on a twin model. The digital twin model of the machine tool is constructed using the unified multi-domain modelling language to ensure consistent response to machining conditions, control effect, and mapping effect of real and virtual parameter changes. Secondly, the machining scenario simulation strategy is formulated and the decoupling analysis for the machining process is carried out to achieve the parametric representation of the working conditions and the simulation of the machining loads. Finally, the parameter adjustment and optimization are investigated under variable machining conditions and variable parameters. The experimental results demonstrate that the proposed method reduces the commissioning time of the spindle machining system of machine tools, decreases the response time by approximately 12 %, and reduces the steady-state error by about 52 %. These findings confirm the effectiveness of the proposed method and its feasibility for field application.
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.