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Licensed Unlicensed Requires Authentication Published by De Gruyter December 20, 2019

Optimization of cutting parameters with respect to roughness for machining of hardened AISI 1040 steel

  • Abidin Şahinoğlu and Mohammad Rafighi
From the journal Materials Testing

Abstract

Today, energy consumption and environmental issues are important topics in all industries around the globe. However, quality is in direct proportion with energy consumption, since better surface finish means more energy consumption. The main objective of this work is minimizing both surface roughness and power consumption by estimating the optimum machining parameters. In this study, turning tests were carried out on three different hardened AISI 1040 steels (10, 15, 20 HRC) at three different depths of cuts (1.2, 2.4, 3.6 mm), feed rates (0.15, 0.25, 0.35 mm × rev−1) and cutting speeds (120, 140, 160 m × min−1) without coolant. The effects of cutting parameters and workpieces hardness on surface roughness, sound level and power consumption were examined. These analyses were conducted using a full factorial experimental design method. The response surface methodology and analysis of variance were also used to determine the effects of input parameters on the response variables. Experimental results showed that an increase in the feed rate value causes an increase in the surface roughness, the sound level, and the power consumption values. The results of the presented work show that feed rate is the most effective machining parameter that affects surface roughness and power consumption. Following feed rate, depth of cut and cutting speed also have an important impact. Thus, decreasing the value of feed rate and depth of cut will reduce the amount of power consumption.


Correspondence Address, Abidin Şahinoğlu, Department of Mechanical and Metal Technology, Çankırı Karatekin University, Çankırı, Turkey, E-mail:

Dr. Şahinoğlu, born in 1981, completed his undergraduate and graduate education in manufacturing engineering at Gazi University. He works in the field of machine manufacturing and design. He has three patents in machine design and manufacture. One of them is the “intelligent tool machining design” which determines the cutting parameters according to sound and vibration analysis. He has published some papers related to machining operation. He has been working as instructor at Çankırı Karatekin University, department of mechanical and metal technology since 2012.

Dr. Rafighi, born in 1988, received his BSc degree in mechanical engineering from Islamic Azad University of Tabriz in 2010. He got his MS. and PhD degrees in manufacturing engineering from Gazi University in 2013, and 2018, respectively. He has been honored as a first ranked student of the term, with PhD CGPA (4.00). Gazi University Projects of Scientific Investigation (BAP) supported both of his graduate thesis studies. Dr. Rafighi has attended the Rolls-Royce the Jet Engine Design Project at Brandenburg University of Technology, Cottbus, Germany, as a researcher. He has published some papers related to machining operation. Since September 2018, he has been working as an assistant professor at the University of Turkish Aeronautical Association department of mechanical engineering.


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Published Online: 2019-12-20
Published in Print: 2020-01-07

© 2020, Carl Hanser Verlag, München

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