Modelling for surface roughness in cylindrical grinding
by Ramesh Rudrapati; Pradip Kumar Pal; Asish Bandyopadhyay
International Journal of Machining and Machinability of Materials (IJMMM), Vol. 12, No. 1/2, 2012

Abstract: In the present study, response surface methodology (RSM) is used to investigate the relationships and parametric interactions between the three controllable variables and surface roughness in cylindrical grinding. Experiments are conducted on mild steel specimens by varying process variables infeed, longitudinal feed and work speed. The surface roughness has been measured using contact stylus method. Surface roughness parameter 'Ra' is used to evaluate surface characteristics of the machined specimens. To model the proposed second-order polynomial model for surface roughness the Box Behnken experimental design has been used to estimate the model coefficients of the three factors, which are believed to influence the surface roughness in cylindrical grinding process. The response is modelled using a response surface model based on experimental results. The significant coefficients have been obtained by performing analysis of variance (ANOVA) at 5% level of significance. From the ANOVA, it is found that process parameters do not have much significant effect on the surface roughness parameter (Ra), then response surface methodology's response optimiser is used to developing the model for prediction. The predicted result shows considerable improvement in surface roughness.

Online publication date: Sat, 23-Aug-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 Machining and Machinability of Materials (IJMMM):
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