QUT ePrints

A study on prediction of bead height in robotic arc welding using a neural network

Yarlagadda, Prasad K., Kim, Ill-Soo, Son, Joon-Sik, & Lee, C.W. (2002) A study on prediction of bead height in robotic arc welding using a neural network. Journal of Materials Processing Technology, 130–131(-), pp. 229-234.

View at publisher

Abstract

This paper presents development of an intelligent algorithm to understand relationships between process parameters and bead height, and to predict process parameters on bead height through a neural network and multiple regression methods for robotic multi-pass welding process. Using a series of robotic arc welding, additional multi-pass butt welds were carried out in order to verify the performance of the neural network estimator and multiple regression methods as well as to select the most suitable model. The results show that not only the proposed models can predict the bead height with reasonable accuracy and guarantee the uniform weld quality, but also a neural network model could be better than the empirical models (linear and curvilinear equations).

Impact and interest:

23 citations in Web of Science®
Search Google Scholar™

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 6151
Item Type: Journal Article
Additional Information: For more information, please refer to the journal’s website (see link) or contact the author. Author contact details: y.prasad@qut.edu.au
Keywords: Neural network, Method of least squares, Multi, pass welding, Bead height, Process parameters, Weldability
DOI: 10.1016/S0924-0136(02)00803-8
ISSN: 0924-0136
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Control Systems Robotics and Automation (090602)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2002 Elsevier
Deposited On: 15 Feb 2007
Last Modified: 11 Aug 2011 01:29

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page