Prediction of laser welding qualities of Al alloys using regression and machine learning techniques

Prediction of laser welding qualities of Al alloys using regression and machine learning techniques

This work compared different machine learning models such as linear regression, polynomial regression and XG-Boost for the prediction of laser welding qualities in aluminum alloys. The key weld quality parameters are ultimate load, weld width and penetration depth. Each model was trained and validat...

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Bibliographic Details
Main Authors: Hemant Kumar, Soumyabrata Chakravarty, Nitesh Kuamr, Nikhil Kumar
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Materials Research Express
Subjects:
machine learning
weld quality
XG boost
regression
aluminium alloy
Online Access:https://doi.org/10.1088/2053-1591/addd68
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https://doi.org/10.1088/2053-1591/addd68

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