Quality monitors and control methods for the resistance spot welding.
نویسندگان
چکیده
منابع مشابه
Neural Network-Based Resistance Spot Welding Control and Quality Prediction
This paper describes the development and evaluation of neural network-based systems for industrial welding process control and weld quality assessment. The developed systems utilize recurrent neural networks for process control and both recurrent networks and static networks for quality prediction. The first section describes a system capable of both welding process control and real-time weld q...
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Resistance spot welding (RSW) includes many variables that can influence the weld properties. The purpose of this study is to develop an analytical model for prediction of thermal history and weld microstructure in RSW and to find the most important process parameters that influence the weld microstructure. A one dimensional model is proposed for prediction about thermal history during cooling ...
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Resistance spot welding is one of the most widely used processes in sheet metal fabrication. Improvements in quality assurance are important to increase welding productivity. Until now, quality estimation was performed using dynamic resistance at the secondary circuit, which is easily measured. However, this method has many problems when applied to in-process real-time systems. In this study, w...
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The Resistance Spot Welding (RSW) process requires simultaneous application of high electrical current and appropriate pressure over short periods in order to keep the molten material inside the weld zone. Values of these parameters vary in function of the characteristics of the materials to be welded. The application of the electrical current is by means of two copper electrodes brought in con...
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ژورنال
عنوان ژورنال: Journal of the Japan Welding Society
سال: 1989
ISSN: 0021-4787,1883-7204
DOI: 10.2207/qjjws1943.58.266