Prediction model development for material removal rate in band sawing using dimensional analysis approach Online publication date: Tue, 20-Mar-2018
by Bhavesh G. Mewada; Harit K. Raval
International Journal of Machining and Machinability of Materials (IJMMM), Vol. 20, No. 2, 2018
Abstract: Bandsawing is an accurate and fast process to cut various raw materials. Material removal rate (MRR) is the important parameter in bandsawing to judge its performance. To the best of knowledge of the author, almost none of the researchers has developed semi empirical model to study combined effect of process, material and machine parameters for bandsawing process. Hence, in the present research work, semi empirical model is developed for MRR using dimensional analysis approach. In this work, Taguchi's technique is used to conduct experiments. As per ANOVA, feed (58%), speed (17.44%) and top arm angle (13.55%) found as significant parameters. The model is formulated as a function of these parameters and validated calculating mean error (0.024), root mean square error (0.029) and percentage average error (6.63%). The model is verified by randomly substituting the values from experiment data set. The predicted results were found in close agreement with the experiment results.
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