Experimental Vibration Analysis of Titanium Aluminum Nitride (TiAlN) Coated Milling Cutting Tool Effects on Surface Roughness of AISI 4140 Steel Products
Abstract
The vibration response of material removal process in milling has a significant effect on surface roughness of the product with respect to cutting tool coating. Recent requirements for improving of surface roughness have heightened the need for milling with coated cutting tools. The main objective of this study is to experimentally investigate the role of vibration behavior of cutting tool coated with titanium aluminum nitride (TiAlN) on an AISI 4140 alloy steel work piece surface roughness. The vibration data from work piece were recorded for three milling cutting tools with tool diameters of 10, 12, and 16 𝑚𝑚 and for each diameter different coating thicknesses of 0.0, 2.0, 3.0, and 5.0 𝜇 (microns) were used respectively. Vibration signals of work piece during milling process in two directions were collected and a roughness tester was used to measure the surface roughness of work piece. The results showed that vibration due to cutting tool coating thickness has a significant effect on surface roughness of work piece. It has been observed that the maximum average surface roughness was obtained for 16 𝑚𝑚 tool diameters with coating thickness of 5.0 𝜇 while the minimum average surface roughness was obtained for 10 mm tool diameters with coating thickness of 3.0 𝜇. Surface roughness can be improved by reduction sources of vibration by using appropriate cutting tool coating thickness.
Keywords
References
- Lipski J., Litak G., Rusinek R., Szabelski K., Teter A., Warmindski J. and Zaleski K. “Surface Quality of a Work Material Influence on Vibrations in a Cutting Process”, Journal of Sound and Vibration, Technical University of Lublin, 2001.
- Thomas L. Lago, Sven Olsson, Lars Hakansson and Ingvar Claesson, “Performance of a Chatter Control System For Turning and Boring Applications”, 4th GRACM Congress on Computational Mechanics, GRACM., Patras, 27-29, June, pp. 3-4, 2002.
- Al-Habaibeh A. and Gindy N.; “A new approach for systematic design of condition monitoring systems for milling operation”, Journal of Material Processing Technology, 2000, 107, pp. 243-251.
- S. C. Eze, C. O. Izelu, B. U. Oreko, B. A. Edward, “Experimental Study of Induced Vibration and Work Surface Roughness in the Turning of 41Cr4 Alloy Steel using Response Surface Methodology International Journal of Innovative Research in Science, Engineering and Technology’’, Vol. 2, Issue 12, 2013.
- Y. Altintas and M.R. Khoshdarregi; “Contour error control of CNC machine tools with vibration avoidance”; CIRP Annals - Manufacturing Technology, 2012, 61, pp. 335–338.
- Armando Italo Sette Antonialli, Anselmo Eduardo Diniz, Robson Pederiva; “Vibration analysis of cutting force in titanium alloy milling”; International Journal of Machine Tools & Manufacture; 2010, 50, pp. 65-74.
- Baojia Chen, Xuefeng Chen, Bing Li, Zhengjia He, Hongrui Cao, GaigaiCai;“Reliability estimation for cutting tools based on logistic regression model using vibration signals”; Mechanical Systems and Signal Processing; 2011, 25, pp 2526-2537.
- S. S. Abuthakeer, P.V. Mohanram, G. Mohan Kumar; “Prediction and Contour of Cutting to Vibration in C Lathe with Anova and Ann”; International Journal of Lean Thinking, Volume 2, Issue 1, June 2011.
Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Publication Date
August 1, 2018
Submission Date
April 18, 2018
Acceptance Date
June 1, 2018
Published in Issue
Year 2018 Volume: 6 Number: 4
Cited By
Alüminyum Frezelemede İlerleme Hızının Titreşime Etkisinin İncelenmesi
Karadeniz Fen Bilimleri Dergisi
https://doi.org/10.31466/kfbd.1224730Examination of Surface Hardness and Roughness of AISI 1050 Steel Material in Milling Based on Surface Processing Conditions
European Journal of Engineering and Applied Sciences
https://doi.org/10.55581/ejeas.1408250Correlating Cutting Performance and Surface Roughness under Different Bias Using TiAlTaN Coated Milling Tools
Journal of Mechanical Engineering and Manufacturing
https://doi.org/10.53941/jmem.2025.100007Investigation of Machining Performance of Ti6Al4V Alloy in Face Milling Process Considering the Energy Consumption and Carbon Emission
Arabian Journal for Science and Engineering
https://doi.org/10.1007/s13369-025-10850-2