Spot Welding Quality Prediction Model Based on Partial Least-Squares Regression

Hui Zhao; Jian Jun Wu; An Du; Rui Na Ma; Yong Zhe Fan

doi:10.4028/www.scientific.net/AMR.740.223

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 740Spot Welding Quality Prediction Model Based on...

Spot Welding Quality Prediction Model Based on Partial Least-Squares Regression

Abstract:

The relationship between spot welding process parameters and nugget diameter was selected and synthesized by partial least squares. The partial least squares regression model of spot welding quality was established. And the nugget diameter was predicted based on the model mentioned above. The results show that this model can be used to predict the spot welding quality.

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Periodical:

Advanced Materials Research (Volume 740)

Pages:

223-225

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.740.223

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Online since:

August 2013

Authors:

Hui Zhao, Jian Jun Wu, An Du, Rui Na Ma, Yong Zhe Fan

Keywords:

Nugget Diameter, Partial Least Square, Regression Analysis, Spot Welding Process Parameters

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References

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