Selection of optimal hot extrusion processing parameters for AA6061 using fuzzy AHP and TOPSIS
by Sarojini Jajimoggala
International Journal of Knowledge Engineering and Data Mining (IJKEDM), Vol. 6, No. 1, 2019

Abstract: The need for improving the various material processing techniques for aluminium alloys has been felt due to their applications in various key industries. Due to ease of formability and low cost of aluminium alloys, extrusion has gained great popularity in recent years. Since the improper selection of processing parameters leads to poor quality and quantity, in the present work, an attempt was made to simulate hot direct extrusion of AA6061 alloy using DEFORM-3D, and the results were analysed using a hybrid multi-criteria decision making technique, a combined fuzzy AHP and TOPSIS approach to select the optimal combination of hot extrusion processing parameters. AHP is used to prioritise the evaluation criteria and the TOPSIS method used to rank the process parameters combination based on the simulation results.

Online publication date: Tue, 15-Jan-2019

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 Knowledge Engineering and Data Mining (IJKEDM):
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