Otto Purnawarman, Achmad Sambas, Bella Rukmana


In the turning process, the parameters of cutting speed (Vc), feed rate (f), and nose radius (rε) are things that influence the quality of the product. This study aims to optimize the relationship between the parameters of tool wear and surface roughness. AISI 4340 low alloy steel workpiece material and carbide insert cutting tools are used. The method used is a statistical application approach with the Taguchi method, gray relational analysis (GRA) techniques to get the best level combination for multi-response results and Analysis of variance (ANOVA) to determine factors that affect tool wear and surface roughness. The factor used is cutting speed. (Vc), feed rate (f), and nose radius (rε) with three levels and the responses are surface roughness (Ra) and tool wear (VB). The results of the ANOVA show that cutting speed (Vc) and feed rate (f) are significant factors for surface roughness and tool wear. The optimal factor level values for obtaining surface roughness (Ra) and minimum tool wear (VB) were Vc level 1 = 73.73 m/min, f level 1 = 0.1 mm/rev, and rε level 1 = 1.2 mm.

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Dureja, J. S., Singh, R., & Bhatti, M. S. (2014). Optimizing Flank Wear and Surface Roughness during Hard Turning of AISI D3 Steel by Taguchi and RSM Methods. An Open Access Journal Vol. 2 No.1, 767-783.

Rochim, T. (2007). Proses Pemesinan Buku 1: Klasifikasi Proses, Gaya, dan Daya Pemesinan. Bandung: ITB

Sandvik. (2009). Technical Guide Catalog. Sweden: Sandvik Coromant.

Chou, Y. K., & Song, H. (2004). Tool Nose Radius Effects on Finish Hard Turning. Journal of Materials Processing Technology, 259-268.

Groover, M. P. (2020). Fundamentals of Modern Manufacturing : Materials, Processes, and Systems 7th edition. United States of America: John Wiley & Sons, Inc.

Kalpakjian, S., & Schmid, S. R. (2010). Manufacturing Engineering and Technology sixth edition. United States of America: Pearson Education.

Astakhov, V. P., & Davim, J. P. (2008). Tools (Geometry and Material) and Tool Wear. London: Springer

Bandanadjaja, B., Ruskandi, C., & Pramudia, I. (2016). Perlakuan Panas Material AISI 4340 Untuk Menghasilkan Dual Phase Steel Ferrit-Bainit. STEMAN (pp. 16-19). Bandung: Polman Bandung.

Antony, J., & Kaye, M. (2000). Experimental Quality : A Stategic Approach To Achieve and Improve Quality. New York: Springer Science+Business Media.

Taguchi, G., Chowdhury, S., & Wu, Y. (2005). Taguchi's Quality Engineering Handbook. Canada: John Wiley & Sons, Inc.

Pagano, R. R. (2010). Understanding Ststistics In The Behavioral Sciences, Tenth Edition. United States of America: Wadsworth.

Rao, D. V. (2011). Advanced Modeling and Optimization of Manufacturing Processes. Springer.

Liu, S., Yang, Y., & Forrest, J. (2017). Grey Data Analysis : Methods, Models, and Application. Singapore: Springer.

DOI: https://doi.org/10.31884/jtt.v10i1.510


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