Table of Contents
International Journal of Manufacturing Engineering
Volume 2014, Article ID 154784, 6 pages
http://dx.doi.org/10.1155/2014/154784
Research Article

Resistance Spot Welding Optimization Based on Artificial Neural Network

1Department of Industrial Engineering, Faculty of Engineering, Naresuan University, Phitsanulok 65000, Thailand
2Department of Computer Science and Information Technology, Faculty of Science, Naresuan University, Phitsanulok 65000, Thailand

Received 15 August 2014; Accepted 19 October 2014; Published 9 November 2014

Academic Editor: Quanfang Chen

Copyright © 2014 Thongchai Arunchai et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Hayriye Ertek Emre, and Ramazan Kaçar, “Resistance Spot Weldability of Galvanize Coated and Uncoated TRIP Steels,” Metals, vol. 6, no. 12, pp. 299, 2016. View at Publisher · View at Google Scholar
  • Xing-Jue Wang, Jun-Hong Zhou, Heng-Chao Yan, and Chee Khiang Pang, “Quality monitoring of spot welding with advanced signal processing and data-driven techniques,” Transactions of the Institute of Measurement and Control, pp. 014233121770070, 2017. View at Publisher · View at Google Scholar