Construction Method of Digital Twin System for Thin-Walled Workpiece Machining Error Control Based on Analysis of Machine Tool Dynamic Characteristics

In the intelligent optimization process of aerospace thin-walled parts, there are issues such as solidification of core knowledge base, high system coupling degree, and real-time evaluation and optimization feedback required for the knowledge base. These problems make it difficult to expand the func...

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Main Authors: Wenkai Zhao, Rongyi Li, Xianli Liu, Jun Ni, Chao Wang, Canlun Li, Libo Zhao
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Machines
Subjects:
Online Access:https://www.mdpi.com/2075-1702/11/6/600
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author Wenkai Zhao
Rongyi Li
Xianli Liu
Jun Ni
Chao Wang
Canlun Li
Libo Zhao
author_facet Wenkai Zhao
Rongyi Li
Xianli Liu
Jun Ni
Chao Wang
Canlun Li
Libo Zhao
author_sort Wenkai Zhao
collection DOAJ
description In the intelligent optimization process of aerospace thin-walled parts, there are issues such as solidification of core knowledge base, high system coupling degree, and real-time evaluation and optimization feedback required for the knowledge base. These problems make it difficult to expand the functions of the digital twin system and meet the growing processing needs, ultimately hindering the application of digital twin technology. To address these issues, a digital twin system for controlling processing errors in thin-walled parts was built using a microservices architecture. In addition, a method for building a digital twin system at the processing unit level with the best coupling degree was proposed, mainly targeting the dynamic characteristics analysis knowledge base of thin-walled parts. Furthermore, to meet the requirements for backward compatibility of the processing unit level digital twin system, a comprehensive solution including the construction, operation, evaluation, optimization, and visualization of a knowledge base for the dynamic characteristics of the processing unit was proposed, providing guidance for the digital transformation and upgrading of CNC machine tools and the optimization of processing technology based on digital twin technology.
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spelling doaj.art-870cafe38e3446f985d60a75d14356d62023-11-18T11:20:25ZengMDPI AGMachines2075-17022023-06-0111660010.3390/machines11060600Construction Method of Digital Twin System for Thin-Walled Workpiece Machining Error Control Based on Analysis of Machine Tool Dynamic CharacteristicsWenkai Zhao0Rongyi Li1Xianli Liu2Jun Ni3Chao Wang4Canlun Li5Libo Zhao6School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, ChinaNo 8 Academy-Shanghai Institute of Spacecraft Equipment of China Aerospace Science and Technology Corp, Shanghai 200240, ChinaNo 8 Academy-Shanghai Institute of Spacecraft Equipment of China Aerospace Science and Technology Corp, Shanghai 200240, ChinaNo 8 Academy-Shanghai Institute of Spacecraft Equipment of China Aerospace Science and Technology Corp, Shanghai 200240, ChinaSchool of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, ChinaIn the intelligent optimization process of aerospace thin-walled parts, there are issues such as solidification of core knowledge base, high system coupling degree, and real-time evaluation and optimization feedback required for the knowledge base. These problems make it difficult to expand the functions of the digital twin system and meet the growing processing needs, ultimately hindering the application of digital twin technology. To address these issues, a digital twin system for controlling processing errors in thin-walled parts was built using a microservices architecture. In addition, a method for building a digital twin system at the processing unit level with the best coupling degree was proposed, mainly targeting the dynamic characteristics analysis knowledge base of thin-walled parts. Furthermore, to meet the requirements for backward compatibility of the processing unit level digital twin system, a comprehensive solution including the construction, operation, evaluation, optimization, and visualization of a knowledge base for the dynamic characteristics of the processing unit was proposed, providing guidance for the digital transformation and upgrading of CNC machine tools and the optimization of processing technology based on digital twin technology.https://www.mdpi.com/2075-1702/11/6/600CNC machine tooldigital twinmicro servicedynamic characteristicsmodule coupling
spellingShingle Wenkai Zhao
Rongyi Li
Xianli Liu
Jun Ni
Chao Wang
Canlun Li
Libo Zhao
Construction Method of Digital Twin System for Thin-Walled Workpiece Machining Error Control Based on Analysis of Machine Tool Dynamic Characteristics
Machines
CNC machine tool
digital twin
micro service
dynamic characteristics
module coupling
title Construction Method of Digital Twin System for Thin-Walled Workpiece Machining Error Control Based on Analysis of Machine Tool Dynamic Characteristics
title_full Construction Method of Digital Twin System for Thin-Walled Workpiece Machining Error Control Based on Analysis of Machine Tool Dynamic Characteristics
title_fullStr Construction Method of Digital Twin System for Thin-Walled Workpiece Machining Error Control Based on Analysis of Machine Tool Dynamic Characteristics
title_full_unstemmed Construction Method of Digital Twin System for Thin-Walled Workpiece Machining Error Control Based on Analysis of Machine Tool Dynamic Characteristics
title_short Construction Method of Digital Twin System for Thin-Walled Workpiece Machining Error Control Based on Analysis of Machine Tool Dynamic Characteristics
title_sort construction method of digital twin system for thin walled workpiece machining error control based on analysis of machine tool dynamic characteristics
topic CNC machine tool
digital twin
micro service
dynamic characteristics
module coupling
url https://www.mdpi.com/2075-1702/11/6/600
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