Weldability Prediction of AHSS Stackups Using Artificial Neural Network Models

Sohmshetty, Raj; Ramachandra, Rakshit; Coon, Ted; Kim, Kyoung-Yun; Choi, Kyung Il

doi:10.4271/2012-01-0529

Cited by 7 publications

(2 citation statements)

References 3 publications

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“…A neural network is also a powerful tool for online quality assessment in RSW [3] and in the development and evaluation for industrial resistance spot welding process control and weld quality assessment [8]. R. Sohmshetty, et al discussed the use of machine learning methods for weldability prediction of AHSS stackups and showed some results from ANN models [25]. However, other machine learning methods are not included nor compared.…”

Section: Related Workmentioning

confidence: 99%

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A Comparative Study for Weldability Prediction of AHSS Stackups

Tran

Yang

Kim³

et al. 2015

IJMUE

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Resistance welding is the most commonly implemented method to join steel sheets in the automobile industry. To increase the efficiency and to maintain or reduce the weight of vehicles, advanced high-strength steel (AHSS) has been developed as a build material for vehicular structures. This paper aims to exploit the ability of prediction for nugget sizes in resistance spot welding by using support vector regression (SVR) and artificial neural network (ANN) model. In this study, the nugget size will be predicted according to parameters in resistance spot welding, such as welding current, welding time and welding force, etc. using machine learning methods. In addition to considering important process parameters for resistance spot welding, some design parameters, such as the thickness of the materials and the coating, are also considered. As the experimental results, SVR shows better performance in the prediction of nugget size when compared to ANN.

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Section: Related Workmentioning

confidence: 99%

“…RSW uses the resistance of the material that is to be welded for the current flow to cause localized heating in the part [25]. The force is created by the tongs and the electrode tips that contain the current (the current flows inside the tongs and the tips).…”

Section: Figure 1 Electric Resistance Spot Welding [4]mentioning

confidence: 99%