Paper Title:
Surface Roughness Prediction in End Milling of Machinable Glass Ceramic and Optimization by Response Surface Methodology
  Abstract

This paper presents the prediction of a statistically analyzed model for the surface roughness,R_a of end-milled Machinable glass ceramic (MGC). Response Surface Methodology (RSM) is used to construct the models based on 3-factorial Box-Behnken Design (BBD). It is found that cutting speed is the most significant factor contributing to the surface roughness value followed by the depth of cut and feed rate. The surface roughness value decreases for higher cutting speed along with lower feed and depth of cut. Additionally, the process optimization has also been done in terms of material removal rate (MRR) to the model’s response. Ideal combinations of machining parameters are then suggested for common goal to achieve lower surface roughness value and higher MRR.

  Info
Periodical
Advanced Materials Research (Volumes 189-193)
Edited by
Zhengyi Jiang, Shanqing Li, Jianmin Zeng, Xiaoping Liao and Daoguo Yang
Pages
1376-1381
DOI
10.4028/www.scientific.net/AMR.189-193.1376
Citation
M. M. Reddy, A. Gorin, K. A. Abou El Hossein, "Surface Roughness Prediction in End Milling of Machinable Glass Ceramic and Optimization by Response Surface Methodology", Advanced Materials Research, Vols. 189-193, pp. 1376-1381, 2011
Online since
February 2011
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Price
$32.00
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