Digital twin-driven multi-dimensional assembly error modeling and control for complex assembly process in Industry 4.0-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Digital twin-driven multi-dimensional assembly error modeling and control for complex assembly process in Industry 4.0

Published:2024-04 Issue: Volume:60 Page:102390
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Zhang Chao,Zhou Guanghui,Ma Dongxu,Wang Zenghui,Zou Yongcheng

Funder

National Natural Science Foundation of China

Shaanxi University of Science and Technology

National Postdoctoral Program for Innovative Talents

National Key Research and Development Program of China

Shanxi Provincial Key Research and Development Project

Publisher

Elsevier BV

Reference37 articles.

1. Digital twin of composite assembly manufacturing process;Polini;Int. J. Prod. Res,2020

2. Assembly process planning and dynamic evaluation method based on digital twin;Zhang;Int. J. Adv. Rob. Syst,2020

3. Towards new-generation human-centric smart manufacturing in Industry 5.0: A systematic review;Zhang;Adv. Eng. Infor,2023

4. A multi-access edge computing enabled framework for the construction of a knowledge-sharing intelligent machine tool swarm in Industry 4.0;Zhang;J. Manuf. Syst,2023

5. A digital twin-based approach for the management of geometrical deviations during assembly processes;Grégorio;J. Manuf. Syst,2021

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid mechanism and data-driven digital twin model for assembly quality traceability and optimization of complex products;Advanced Engineering Informatics;2024-10

2. Optimal charging scheduling for Indoor Autonomous Vehicles in manufacturing operations;Advanced Engineering Informatics;2024-10

3. Digital twin technology facilitates precision improvement in complex product assembly: A progressive deduction method of data-driven tolerance allocation;Advanced Engineering Informatics;2024-10

4. An Immersive Digital Twin Applied to a Manufacturing Execution System for the Monitoring and Control of Industry 4.0 Processes;Applied Sciences;2024-05-13

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3