Volume 3, No. 2, June, 2015
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Optimization of Metal Removal Rate for ASTM A48 Grey Cast Iron in Turning Operation Using Taguchi Method

Md. Maksudul Islam 1, Sayed Shafayat Hossain 2, Md. Sajibul Alam Bhuyan 2
1. Department of Industrial Engineering & Management, Khulna University of Engineering & Technology, Khulna, Bangladesh
2. Department of Mechanical Engineering, Khulna University of Engineering & Technology, Khulna, Bangladesh
Abstract: Optimization is a technique through which better results are obtained under certain circumstances. The main objective of today’s modern manufacturing industries is to produce low cost and high quality products in short time. The selection of optimal cutting parameters is a very important issue for every machining process in order to enhance the quality of machining products and reduce the machining costs. This research work represents on an optimization of metal removal rate in turning operation by the effects of machining parameters applying Taguchi & ANOVA (Analysis of Variance) method to improve the quality of manufactured goods & engineering development of designs for studying variations. For investigation ASTM A48 grey cast iron is considered as workpiece and spindle sped, feed rate & depth of cut have been considered as cutting parameters, while a HSS (High Speed Steel) has been used as cutting tool. This research work reveals that spindle speed has the most significant contribution on the metal removal rate among all the three parameters.
 
Key words: ANOVA, design of experiments, orthogonal array, Taguchi method

Cite: Md. Maksudul Islam, Sayed Shafayat Hossain, Md. Sajibul Alam Bhuyan, "Optimization of Metal Removal Rate for ASTM A48 Grey Cast Iron in Turning Operation Using Taguchi Method," International Journal of Materials Science and Engineering, Vol. 3, No. 2, pp. 134-146, June 2015. doi: 10.17706/ijmse.2015.3.2.134-146

General Information

ISSN: 2315-4527 (Print)
Abbreviated Title: Int. J. Mater. Sci. Eng.
Editor-in-Chief: Prof. Emeritus Dato' Dr. Muhammad Yahaya
DOI: 10.17706/ijmse
Abstracting/ Indexing: Ulrich's Periodicals Directory, Google Scholar, Crossref
E-mail: ijmse@iap.org