Li, Hao, Li, Bing, Liu, Gen, Wen, Xiaoyu, Wang, Haoqi, Wang, Xiaocong, Zhang, Shuai ORCID: 0000-0002-9796-058X , Zhai, Zhongshang and Yang, Wenchao (2022) A detection and configuration method for welding completeness in the automotive body-in-white panel based on digital twin. Scientific Reports, 12:7929. ISSN 2045-2322 (Online) (doi:https://doi.org/10.1038/s41598-022-11440-0)

Preview

PDF (Publisher VoR) 36286_ZHANG_A_detection_and_confguration_method.pdf - Published Version Available under License Creative Commons Attribution. Download (2MB) | Preview

Abstract

To address the problems of poor welding completeness and inefficient configuration for defective automotive body-in-white panels, we propose a method for detecting and configuring the welding completeness of automotive body-in-white panels based on digital twin (DT) and mixed reality (MR). The method uses DT to build an MR-oriented DT framework for the detections and configuration of body-in-white panel welding completeness. We propose a method to build a DT knowledge base for panels, a Yolov4-based welding completeness detection method, and a MR-based configuration method for the welding completeness in panels. Our team develop a panel welding completeness detection and configuration system to fully validate the effectiveness of the method.

Item Type:	Article
Uncontrolled Keywords:	digital twin; detection; configuration
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Business Faculty of Business > Department of Systems Management & Strategy
Last Modified:	18 May 2022 14:50
URI:	http://gala.gre.ac.uk/id/eprint/36286

Actions (login required)

View Item

Downloads