点焊
质量保证
焊接
质量(理念)
国家(计算机科学)
抗性(生态学)
材料科学
工程类
计算机科学
冶金
运营管理
物理
生物
算法
量子力学
外部质量评估
生态学
作者
Panagiotis Stavropoulos,Kyriakos Sabatakakis
出处
期刊:Metals
[Multidisciplinary Digital Publishing Institute]
日期:2024-02-02
卷期号:14 (2): 185-185
被引量:25
摘要
Resistance spot welding is a process with high variability regarding the quality of the produced joints. This means that key performance indicators (KPIs) such as geometrical and mechanical features as well as failure modes can deviate from the initial design even if the same process parameters are used. The industry has developed quality assurance programs and quality control methods for tracking these KPIs; however, most of them are based on offline or/and destructive practices. On the other hand, state-of-the-art approaches have made online quality assessment feasible and proved its necessity if a 100% quality rate is required. However, limited attention has been given to “closing the loop” and providing feedback for preventing and correcting process anomalies that cause quality variations in real time. In this study, the main gaps between the state of practice and the state of the art are discussed in the context of quality assurance for resistance spot welding. Finally, the role and importance of digital twins by taking into consideration the entire welding ecosystem in quality assurance are discussed in order to form the prospects for the road ahead.
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