Multi-response optimisation of hard milling process parameters based on integrated Box-Behnken design with desirability function approach Online publication date: Tue, 13-May-2014
by A. Tamilarasan; K. Marimuthu
International Journal of Machining and Machinability of Materials (IJMMM), Vol. 15, No. 3/4, 2014
Abstract: The mathematical modelling and multi-response optimisation of cutting forces, work piece surface temperature and sound pressure level during hard milling of 100MnCrW4 tool steel using coated (TiN+TiAlN) carbide inserts were presented in this paper based on integrated Box-Behnken design with desirability function. The parameters that influence hard milling such as work material hardness, nose radius, feed per tooth, radial and axial depth of cut were discussed. Various test results and reliability of developed quadratic models were verified using analysis of variance (ANOVA) and they were found to be highly close to experiment and significant. The optimised results were validated experimentally and less than 2% error variation was found. Work material hardness, feed per tooth and nose radius have a significant influence on all response variables. Abrasion marks, coating peel off on the tool surface and saw tooth chips were characterised through SEM analysis.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Machining and Machinability of Materials (IJMMM):
Login with your Inderscience username and 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
Our Blog 
Follow us on Twitter 
Visit us on Facebook