Application of desirability-function and RSM to optimise the multi-objectives while turning Inconel 718 using coated carbide tools
by M. Manohar; Jomy Joseph; T. Selvaraj; D. Sivakumar
International Journal of Manufacturing Technology and Management (IJMTM), Vol. 27, No. 4/5/6, 2013

Abstract: Researchers always focus their attention to bring out process improvements resulting in improved product quality and increased production simultaneously. Such efforts gain significance in the case of Inconel 718, where the cost saving in producing components is higly rewarding. Turning experiments were conducted using Taguchi's methods and experimental data was collected. Response surface models were generated for each response depicting the role of the input variables and the effect of their interaction. Almost all the research work in response surface methodology (RSM) has been aiming at the problems where only one response of interest is addressed. With the aim of optimising the multi-objectives, desirability function approach (DFA) was adopted. Surface and contour plots were generated for the RSMs evolved using MATLAB. This work resulted in identifying the optimised set of turning parameters for Inconel 718 using coated carbide tools satisfying the multi-objectives.

Online publication date: Tue, 29-Apr-2014

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 Technology and Management (IJMTM):
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