Quality prediction and classifcation of resistance spot weld using artifcial neural networkbwith open‑sourced, self‑executable andGUI‑based application tool Q‑Check

• Main Authors: Abd Halim, Suhaila, H. P. Manurung, Yupiter, Raziq, Muhamad Aiman, ChengYee Low, ChengYee Low, Rohmad, Muhammad Saufy, John R. C. Dizon6 & Vladimir S. Kachinskyi, John R. C. Dizon6 & Vladimir S. Kachinskyi
• Format: Article
• Language: English
• Published: 2023
• Subjects: T Technology (General)
• Online Access: http://eprints.uthm.edu.my/8926/1/J15867_e7905ebedef880e4175e46a9cf254d31.pdf; http://eprints.uthm.edu.my/8926/; https://doi.org/10.1038/s41598-023-29906-0

Optimizing Resistance spot welding, often used as a time and cost-efective 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 efect to the quality of welds which a...