Soft computing methods used for the modelling and optimisation of Gas Metal Arc Welding: a review
by Kamal Pal, Surjya K. Pal
International Journal of Manufacturing Research (IJMR), Vol. 6, No. 1, 2011

Abstract: The quality of a weld primarily depends on the process parameters in any welding process. The welding parameters influence the weld bead geometry and weld microstructure, which is related to mechanical properties. It indicates the necessity to establish the relationship between process variables and weld quality characteristics. The Gas Metal Arc Welding (GMAW) processes are highly non-linear and coupled multivariable systems. It suggests the need for an intelligent system to evaluate the process and to determine the best adjustment. The soft computing techniques provide an alternative method for learning, predictive modelling, optimisation and control of weld quality without any mathematical model. This review illustrates the importance of soft computing tools for prediction, optimisation and control of GMAW processes.

Online publication date: Sat, 09-May-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Manufacturing Research (IJMR):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com