Estimating tool life from measurements during longitudinal turning process using linear least squares
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Estimating tool wear, Longitudinal turning, Linearizing modified Taylor equation, Estimate tool life by sound inspection, Linear least squares
Abstract
This research paper presents a procedure to estimate parameters for the modified Taylor equation using experimental measurement. The end-of-life times for each laboratory test were recorded well. The tool life has been measured by observing an abnormal change in the observed pitch of a sound from the cutting tool. The objective of this research is to understand the wear mechanisms of the insert carbide tool for different speed machining under dry condition using longitudinal turning process. The tool life equation obtained by linearizing the expanded Taylor tool life equation and solving a linear system of equations using linear least squares. In this study, both the experimental data and analytical solution show reasonable fit. The estimated tool life model simulates the measured end of tool life using the sound inspection method. An additional analysis to confirm effects of each cutting parameter on the tool life have been presented. Estimating the Tool life (TL) model using nonlinear least squares could give more accurate results which is going to be considered in the future study. The significance of this study is to save resources in the manufacturing industry by avoiding estimating tool life during turning process. Since that cause delay in the production time and waste of resources.
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References
C.J.Rao, D.Sreeamulu, Arun Tom Mathew, (2014). Analysis of Tool Life during Turning Operation by Determining Optimal Process Parameters, 12th Global Congress on Manufacturing and Management, GCMM, ScienceDirect. doi: 10.1016/j.proeng.2014.12.247
Nexhat Qehaja, Azem Kycyku, (2017). Tool Life Modelling Based on Cutting Parameters and Work Material Hardness in Turning Process, Scientific Proceedings XIV International Congress “Machines Technologies. Materials.”, Year I, Volume IV, P.P. 278-281.
Equeter, L., Devlamincq, R., Ducobu, F., Dutoit, C., & Dehombreux, P., (2020). Use of Longitudinal Roughness Measurements as Tool End-of-Life Indicator in AISI 1045 Dry Longitudinal Turning. Materials Science Forum, 986, 93–101.
Feldshtein, Eugene E.; Wojciechowski, Szymon., (2017). Wear of carbide inserts during turning of C45 steel in dry cutting conditions and in presence of emulsion mist, E3S Web of Conferences 19, 03009
Stachurski, W.; Kruszynski, B.; Midera, S., (2012). Determination of Mathematical Formulae for the Cutting Force FC during the Turning of C45 Steel, Mechanics and Mechanical Engineering, Vol. 16, No. 2 (2012) 73–79
Stachurski, W., (2018). Cutting forces during longitudinal turning process of TI-6AL-4V ELI alloy. Theoretical and experimental values. Journal of Mechanical and Energy Engineering, Vol. 2(42), No. 3, pp. 201-206.
Muamar M. Ben Isa, H. A. Aswihli and A. Alkhwaji, (2021). Experimental Investigation of Cutting Parameters Effect on Surface Roughness During Wet and Dry Turning of Low Carbon Steel Material, Journal of Academic Research (Applied Sciences), VOL.17
Chou, Y. K.; & Song, H., (2004). Tool nose radius effects on finish hard turning. Journal of Materials Processing Technology, 148(2), 259–268.
Abhang, L. B.; et al. (2010). Chip-Tool Interface Temperature Prediction Model for Turning Process, International Journal of Engineering Science and Technology Vol. 2(4), 382-393
Kalpakjian, Serope; Schmid, Steven R. (2003). Manufacturing Processes for Engineering Materials, Pearson Education, Inc., Upper Saddle River, NJ 07458
Astakhov, V. P. (2004). The assessment of cutting tool wear. International Journal of Machine Tools and Manufacture, 44(6), 637–647.
Li, B. (2012). A review of tool wear estimation using theoretical analysis and numerical simulation technologies. International Journal of Refractory Metals and Hard Materials, 35, 143–151.
Mukherjee, I.; & Ray, P. K. (2006). A review of optimization techniques in metal cutting processes. Computers & Industrial Engineering, 50(1-2), 15–34. doi: 10.1016/j.cie.2005.10.001
PNRAO. Metal cutting and machine tools, Text book of Tata Mech Grawhil publications, 2013, Vol.2, 3rd Edition.
Material data sheet for steel grade from OVAKO; [accessed 2020 September 23]. Available from: http://www.ovako.com/en/Contact-Ovako/
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