Data mining approach for selection of plateau honing parameters with dual objectives Online publication date: Thu, 05-Aug-2010
by M. Kanthababu, M.S. Shunmugam, M. Singaperumal
International Journal of Machining and Machinability of Materials (IJMMM), Vol. 8, No. 1/2, 2010
Abstract: Surface topography of cylinder liners plays an important role in terms of functionality of the engine. The surface is finished by honing process in various stages namely rough, finish and finally plateau honing to have proper plateau portion (bearing area) at the top to resist wear and grooves at desired honing angle to retain lubrication during engine operation. Selection of parameters and their levels in plateau honing operations to achieve required surface topography is found to be very difficult. For the first time, data mining approach is used in this investigation to select significant honing parameters and their levels considering two important bearing area parameters namely core roughness depth (Rk) and material portion in the valley zone (Mr2) together. Data mining model was trained and tested using experimental data. The significant input plateau honing parameters have been identified and graphical representation of the decision tree has been also presented for easier understanding.
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