Paper Title:
A Regression Model for Force and Surface Roughness Estimation during Hard Turning
  Abstract

Forces in Hard turning can be used to evaluate the performance of the process. Cutting parameters have their own influence on the cutting forces on the tool. The present work is an attempt to develop a force prediction model based on full factorial design of experiments for machining EN31 steel (equivalent to AISI 52100 steel) using uncoated CBN tool. The force and surface roughness regression models were developed using the data from various set of experiments with in the range of parameters selected. The predictions from the models were compared with the measured force and surface roughness values. The ANOVA analysis was undertaken to test the goodness of fit of data.

  Info
Periodical
Advanced Materials Research (Volumes 299-300)
Edited by
Jianzhong Wang and Jingang Qi
Pages
1167-1170
DOI
10.4028/www.scientific.net/AMR.299-300.1167
Citation
G. Bartarya, S.K. Choudhury, "A Regression Model for Force and Surface Roughness Estimation during Hard Turning", Advanced Materials Research, Vols. 299-300, pp. 1167-1170, 2011
Online since
July 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Song Zhang, Y.B. Guo
Abstract:High-speed machining thoroughly hardened tool steels has emerged as a competitive finishing technology for making dies and molds. The...
129
Authors: Aminollah Mohammadi, Hamid Zarepour
Abstract:The focus of this study is to investigate the effects of cutting speed, feed rate, hardness and cutting tool material on cutting region...
303
Authors: Asaad A. Abdullah, Usama J. Naeem, Cai Hua Xiong
Chapter 8: Machining
Abstract:One of the most important requirements of part manufacturing is the surface quality. This is so because the most important part is meeting...
662
Authors: Shao Chun Sui, Ping Fa Feng, Wen Ping Mou
Chapter 3: Advanced Technologies in Material Machining
Abstract:Titanium alloy is finding increased application in aeronautical, automobile and structural applications. During post processing of titanium...
928