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

• Main Authors: SuhailaAbd Halim, SuhailaAbd Halim, Yupiter H. P. Manurung, Yupiter H. P. Manurung, Raziq, Muhamad Aiman, ChengYee Low, ChengYee Low, Rohmad, Muhammad Saufy, John R. C. Dizon, John R. C. Dizon, Vladimir S. Kachinsky, Vladimir S. Kachinsky
• Format: Article
• Language: English
• Published: 2023
• Subjects: T Technology (General)
• Online Access: http://eprints.uthm.edu.my/9153/1/J15867_e7905ebedef880e4175e46a9cf254d31.pdf; http://eprints.uthm.edu.my/9153/; https://doi.org/10.1038/s41598-023-29906-0
• Institution: Universiti Tun Hussein Onn Malaysia

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...