Education, Science, Technology, Innovation and Life
Open Access
Sign In
  1. Home
  2. Journals
  3. Journal of Electrotechnology, Electrical Engineering and Management
  4. Vol 6, Issue 5, 2023

The Seamless Collaborative Operation Technology of Integrating Equipment Control for Intelligent Laser Welding Assembly Unit

Download as PDF

DOI: 10.23977/jeeem.2023.060508 | Downloads: 26 | Views: 388

Author(s)

Gong Yue 1, Liu Zhen 1, Yang Jing 1, Zhang Jiang 2, Ma Zhantao 2, Wang Bin 1, Gao Wenqiang 1, Ma XuYi 1, Lu Wei 1

Affiliation(s)

1 The Science and Technology on Power Beam Processes Laboratory, AVIC Manufacturing Technology Institute, Beijing, China
2 Inspur Genersoft Co., Ltd, Jinan, Shandong, China

Corresponding Author

Gong Yue

ABSTRACT

In the process of laser complex thin-wall component welding, there are multiple stages of data monitoring before, during, and after welding. However, the data that had been collected cannot be effectively used for quality analysis and decision-making in real-time. That had been found, the existing archived and summarized relevant quality data during the welding process had not been carried out in the exploration of mass process data in the laser welding process, as well as the dimensions of quality data management were not standardized. This paper presents a new method which is a seamless collaborative operation technology of multiple systems integrating equipment control, data management, and quality analysis based on an intelligent laser welding assembly unit for complex thin-wall components to solve this problem. The quality process data of laser welding can be structured effectively according to the stage and model, and sort out the aggregation shape by using this technology. Furthermore, the method can form a relatively reliable quality judgment index to match the welding results. Data has been analyzed and processed by the application layer, and the processing results are fed back to the superior computer. Through experiments and tests, the technology proposed in this paper can realize the rational use of process quality data after sorting out and determining the quality analysis and decisions basis, realize the seamless coordination of multiple systems for equipment monitoring data, and upper computer program control with the help of upper application technology. Therefore, the system can obtain the reliability and real-time quality analyses and decisions.

KEYWORDS

Integrated equipment control, data management, quality analysis, RESTful API system collaboration technology

CITE THIS PAPER

Gong Yue, Liu Zhen, Yang Jing, Zhang Jiang, Ma Zhantao, Wang Bin, Gao Wenqiang, Ma XuYi, Lu Wei, The Seamless Collaborative Operation Technology of Integrating Equipment Control for Intelligent Laser Welding Assembly Unit. Journal of Electrotechnology, Electrical Engineering and Management (2023) Vol. 6: 59-73. DOI: http://dx.doi.org/10.23977/jeeem.2023.060508.

REFERENCES

[1] Li Xinde, Li Xianghui, Ge Shuzhi Sam, Khyam Mohammad Omar, Luo Chaomin. "Automatic Welding Seam Tracking and Identification", IEEE Transactions on Industrial Electronics, vol.64, no.9, 2017.
[2] Wang Tianmiao, Tao Yong. Current Situation and Industrialization Development Strategy of Industrial Robot Technology in China [J]. Mechanical Engineering Journal, 2014 (09): 7-19.
[3] Gong Jianfeng, Li Huizhi, Li Liqun, Wang Gang. "Quality Monitoring Technology of Laser Welding Process Based on Coaxial Image Sensing". Welding Journal, 40 (1): 037042, 2019.
[4] Kaierle S, Ungers M, Franz C, et al. Understanding the Laser Process [J]. Laser Technik Journal, 2010, 7(2): 49 − 52. 
[5] Wu Songping. "Real-time Monitoring of the Penetration Status and Mode Classification during Laser Welding Process [D]". Wuhan: Huazhong University of Science and Technology, 2006.
[6] Yang Yongbin. "Research on the Real-time Monitoring System of Laser Welding Quality [D]". Wuhan: Huazhong University of Science and Technology, 2004.
[7] Zhao Shi, "Design and Implementation of FDiagnosis System Based on GSM Network. Dissertation database", Heilongjiang: Northeastern University, 2008.06.01.
[8] Cao Lei. "The Reliability Analysis and Design of Engine Components. Dissertation database", Chongqing: Chongqing University, 2011.04.01. 
[9] Can Zhang, "Design and implementation of a simulation system for multi-UAV cooperative mission planning", Nanjing, Nanjing University of Posts and Telecommunications, 2019. 

Subscription
E-Mail Alert
Most popular papers
Call for Special Issue
Publication Ethics & OA Statement
Plagiarism Policy
Contact Us
Downloads: 2089
Visits: 98305

Sponsors, Associates, and Links

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.