Quality prediction and classification of resistance spot weld using artificial neural network with open-sourced, self-executable and GUI-based application tool Q-Check

Quality prediction and classification of resistance spot weld using artificial neural network with open-sourced, self-executable and GUI-based application tool Q-Check

Abstract Optimizing Resistance spot welding, often used as a time and cost-effective process in many industrial sectors, is very time-consuming due to the obscurity inherent within process with numerous interconnected welding parameters. Small changes in values will give effect to the quality of wel...

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Bibliographic Details
Main Authors: Suhaila Abd Halim, Yupiter H. P. Manurung, Muhamad Aiman Raziq, Cheng Yee Low, Muhammad Saufy Rohmad, John R. C. Dizon, Vladimir S. Kachinskyi
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-29906-0

Internet

https://doi.org/10.1038/s41598-023-29906-0

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