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Investigation of monitoring systems for resistance spot welding

C.-S. Chien, +1 more
- 01 Sep 2002 - 
- Vol. 81, Iss: 9
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TLDR
In this article, an investigation of various sensor systems for RSW is presented and the signals are analyzed and correlated with nugget formation and growth, including a fiber-optic displacement sensor, an acoustic emission sensor, a force transducer, and the current and voltage measurements, which are set up to simultaneously monitor the welding process.
Abstract
Although many different sensors have been developed for monitoring the resistance spot welding (RSW) process, no single sensor has been found to be capable of reliably detecting all defects associated with the process. A number of sensor systems are considered to hold promise of providing information about the process. In this paper, an investigation of various sensor systems for RSW is presented and the signals are analyzed and correlated with nugget formation and growth. These include a fiber-optic displacement sensor, an acoustic emission sensor, a force transducer, and the current and voltage measurements, which are set up to simultaneously monitor the welding process. Of these sensor systems, force signals are found to provide the most information on nugget formation.

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Journal ArticleDOI

Overview of recent advances of process analysis and quality control in resistance spot welding

TL;DR: The establishment of general models to online process analysis, quality estimation and real time control system design for obtaining welds with satisfactory quality still remains a big challenge in reality.
Journal ArticleDOI

Real-time seam penetration identification in arc welding based on fusion of sound, voltage and spectrum signals

TL;DR: A feature-level data fusion methodology was presented to automatically evaluate seam quality in real time for Al alloy in gas tungsten arc welding by means of online arc sound, voltage and spectrum signals, which indicates that multisensory-based classifier has higher accuracy than single sensor-based one.
Journal ArticleDOI

Multisensor-based real-time quality monitoring by means of feature extraction, selection and modeling for Al alloy in arc welding

TL;DR: Wang et al. as discussed by the authors proposed a feature selection approach, i.e., hybrid fisher-based filter and wrapper was successfully utilized to evaluate the sensitivity of each feature and reduce the feature dimensions.
Journal ArticleDOI

Online qualitative nugget classification by using a linear vector quantization neural network for resistance spot welding

TL;DR: In this paper, a linear vector quantization (LVQ) neural network was proposed for estimating the button size class based on a small number of dynamic resistance patterns for cold, normal and expulsion welds that are collected during the stabilization process.
Journal ArticleDOI

Dynamic Electrode Force and Displacement in Resistance Spot Welding of Aluminum

TL;DR: In this paper, a medium-frequency direct-current welder was used for resistance spot welding of aluminum alloy 5182 sheets and both displacement and force experienced a sudden drop when weld metal expulsion occurred, but the rate of increase in displacement did not reach zero during welding even for joints with sufficient nugget diameter.
References
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Book

The physical properties of liquid metals

TL;DR: A comprehensive survey of theories, empirical relations and experimental data on the physical properties of liquid metals can be found in this paper, where the authors give a comprehensive overview of liquid metal properties.
Journal ArticleDOI

A Microprocessor-Based Electrode Movement Controller for Spot Weld Quality Assurance

TL;DR: In this paper, a microprocessor-based control method is developed to obtain uniform weld quality regardless of the changing welding environments, which utilizes a proportional (P) control algorithm, incorporating with the electrode movement as a feedback variable.
Journal ArticleDOI

A Proportional-Integral Controller for Resistance Spot Welding Using Nugget Expansion

TL;DR: In this article, a microprocessor-based feedback controller that can compensate weld quality variation due to electrode deterioration was developed to compensate for the wear degradation in the process of resistance spot welding, and the experimental results show that the electrode wear can significantly cause quality deterioration, but this can be effectively compensated via application of this proposed control technique.
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