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Licensed Unlicensed Requires Authentication Published by De Gruyter May 26, 2013

Use of Grey-Taguchi Method for the Optimization of Oblique Turning Process of AZ91D Magnesium Alloy

Verwendung der Grey-Taguchi Methode für die Optimierung von Drehprozessen der Magnesiumlegierung AZ91D
  • Bariş Buldum , Uğur Eşme , Mustafa Kemal Külekci , Aydin Şik and Yiğit Kazançoğlu
From the journal Materials Testing

Abstract

This study investigated the multi-response optimization of turning process for an optimal parametric combination to yield minimum cutting forces and surface roughness with maximum material removal rate (MRR) using the combination of Grey relational analysis (GRA) and Taguchi method. Nine experimental runs based on an orthogonal array of Taguchi method were performed to derive objective functions to be optimized within experimental domain. The objective functions have been selected in relation to parameters of cutting process: cutting force, surface roughness and MRR. The Taguchi approach followed by Grey relational analysis to solve the multi-response optimization problem. The significance of factors on overall quality characteristics of the cutting process has also been evaluated quantitatively by the analysis of variance method (ANOVA). Optimal results have been verified through additional experiments. This shows proper selection of the cutting parameters produces, high material removal rate with better surface roughness and lower cutting force.

Kurzfassung

In der diesem Beitrag zugrunde liegenden Studie wurde eine Mehrfach-Antwort-Optimierung des Drehprozesses in Hinblick auf eine optimale Parameterkombination zur Erreichung minimaler Schnittkräfte und Oberflächenrauheiten bei maximaler Materialabtragsrate (MMR) durchgeführt, in dem die Grey Relational Analyse (GRA) mit der Taguchi Methode kombiniert wurde. Neun experimentelle Runs, die auf einem orthogonalen Feld der Taguchi-Methode basieren, wurden durchgeführt, um objektive Funktionen abzuleiten, die mittels der experimentellen Ergebnisse optimiert wurden. Die objektiven Funktionen wurden in Hinblick auf die Parameter des Schneidprozesses, nämlich der Schnittkraft, der Oberflächenrauheit und der MRR gewählt. Dem Taguchi-Ansatz folgte eine GRA um die Mehrfach-Antwort-Aufgabe zu lösen. Die Signifikanz der Faktoren auf die allgemeinen Qualitätsmerkmale des Schneidprozesses wurden ebenfalls quantitativ mittels der Varianzanalyse (ANOVA) ausgewertet. Die optimalen Ergebnisse wurden experimentell verifiziert. Eine richtige Auswahl der Schneidparameter zeigt eine hohe Materialabtragsrate mit besserer Oberflächenrauheit und niedrigerer Schnittgeschwindigkeit.


Bariş Buldum, born in 1979 in Mersin, completed his primary education in Mersin and bachelor from the Faculty of Technical Education, Gazi University, Turkey, in 2003 and master degree from Institute of Science, Gazi University, Turkey, in 2006. He's PhD student in Gazi University since 2009. His interests are machinability of metals, lightmetal cutting, and design as well as construction. He's lecturer at Mersin University, Turkey, since 1997. Now, he is working in advanced technology education, Research and Application Center in Mersin University, Turkey.

Ugur Esme is assistant professor Dr. in Mersin University Tarsus Technical Education Faculty, Turkey. He obtained his PhD degree from Cukurova University Department, Turkey, of mechanical engineering in 2006. His research areas include CAD/CAM technology, welding, modelling, designing, and water jet cutting applications as well as neural network.

Mustafa Kemal Kulekci is professor of Faculty of Tarsus Technical Education, Department of Machine Education, Mersin University, Turkey. He obtained his PhD degree from Gazi University, Turkey, in 2000. His research interests include CAD/CAM, friction stir welding, machinability of materials, and water-jet cutting applications.

Aydin Şik completed bachelor at Faculty of Industrial Technical Education, Gazi University, Turkey, master and Phd. degree at Institute of Science, Gazi University, Turkey. His interests are welding, machinability of metals, design, and construction. He is lecturer at Gazi University, Turkey, since 1995. Now, he is working in Faculty of Industrial Technical Education of Gazi University, Turkey. He is assistant professor in Gazi University since 2011.

Yigit Kazancoglu is assistant professor Dr. in Izmir University of Economics, Dept. of Business Administration, Turkey. He received his BS degree from Industrial Engineering Dept. of Eastern Mediterranean University, MBA degree from Coventry Univertsity and Izmir University of Economics, Turkey, and PhD degree in Ege University, Turkey, in operations management. His work at the university involves giving courses and conducting research in the areas of production planning, operations management and operations research. He is the author of a number of international publications on these subjects.


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Published Online: 2013-05-26
Published in Print: 2012-11-01

© 2012, Carl Hanser Verlag, München

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