Prediction of peak temperature value in friction lap welding of aluminium alloy 7475 and PPS polymer hybrid joint using machine learning approaches
•Machine learning models were employed to predict the temperature value.•Both SVM and GPR models with PUK kernel achieved high accuracy for prediction.•SVM-PUK approach should be prioritized for temperature prediction during FLW. In the automotive and aerospace sectors, vehicle weight has been a maj...
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Veröffentlicht in: | Materials letters 2022-02, Vol.308, p.131253, Article 131253 |
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Format: | Artikel |
Sprache: | eng |
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