Paper Title:
Empirical Modeling of Turning Parameters Using Grey Relational Analysis
  Abstract

- Optimization of multi-criteria problem is a great need of producers to produce precision parts with low costs. Many methods such as Taguchi and Response surface methodology have been employed for optimization of turning operation. However there are few researches involve the optimization of multi-response problem in turning process. The attempt of this paper is to optimize multi-performance characteristics of turning process using grey relational analysis based on factorial design with response surface methodology. The response table and response graph for each level of the machining parameters is obtained and optimal levels of turning parameters including cutting velocity, feed rate, depth of cut, tool nose radius and concentration of lubricants are found. The multiple performance characteristics including tool wear rate, cutting force and chip-tool interface temperature is considered.

  Info
Periodical
Chapter
Chapter 14: Modeling, Analysis, and Simulation of Manufacturing Processes
Edited by
Wu Fan
Pages
2596-2603
DOI
10.4028/www.scientific.net/AMM.110-116.2596
Citation
L.B. Abhang, M. Hameedullah, "Empirical Modeling of Turning Parameters Using Grey Relational Analysis", Applied Mechanics and Materials, Vols. 110-116, pp. 2596-2603, 2012
Online since
October 2011
Export
Price
$32.00
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