Estimation of weld bead geometry of gas metal arc welding process using artificial neural network

• Main Authors: Idris, Mohamad Nizam, Zaharuddin, Mohd. Faridh Ahmad, Shin, Seungmin, Rhee, Sehun
• Format: Article
• Published: Penerbit UTM Press 2018
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/id/eprint/82118/; https://jurnalmekanikal.utm.my/index.php/jurnalmekanikal/article/view/330

A single weld bead geometry has significant effects on the mechanical properties of the bead, layer thickness, quality of surface bead and dimensional accuracy of the metallic parts of the welding. This research presents the application of an artificial intelligence approach using artificial neural...