Determine the Optimal Cutting Conditions in Longitudinal Turning Operations over the Life of the Cutting Tool to Achieve the Best Production Rate and Lowest Cost

Authors

  • Muamar M. Ben Isa Mechanical and Industrial Engineering Department, Faculty of Engineering, Alasmarya Islamic University, Zliten, Libya.
  • Mustafa O. Hakoumah Department of Mechanical and Industrial Engineering, Faculty of Engineering, Alasmarya Islamic University, Zliten, Libya.
  • Meelad M. Altounsi Ahlia Cement Company, Zliten, Libya.

DOI:

https://doi.org/10.59743/jmset.v9i2.163

Keywords:

ANOVA, Taguchi, Cutting tool, Turning process

Abstract

In this manuscript, the effect of cutting conditions (cutting speed, feed rate, and depth of cut) on the life of the cutting tool was studied in longitudinal turning operations for a sample of medium carbon iron (C35) with a length of 1200 mm and a diameter of 100 mm using a traditional turning machine and a carbide cutting tool. (P10). The experiments were designed based on three levels of cutting speed, feed, and depth of cut using the Taguchi method to reduce the number of experiments, and the (minetab16) program was used to achieve this. The level of importance of cutting conditions on the life of the cutting tool was determined by analysis of variance (ANOVA). In this study, the level of importance of cutting conditions on the life of the cutting tool was determined. Determine the optimal cutting conditions according to economic and production criteria such as the minimum total cost and the maximum production rate. The results showed that an increase in cutting speed leads to a decrease in tool life, as well as an increase in the feed rate and depth of cut. From the analysis table (ANOVA) it is clear that the cutting speed factor is the most It had an impact on the life of the cutting tool by 91.9%, followed by the feed rate by 6%, while the effect of depth of cut had the least impact on the life of the cutting tool by 1.2%. The cost and production rate, represented by the number of parts manufactured for each cutting tool, were also estimated in the practical experiments that were conducted. In light of this estimate, the optimal cutting conditions were chosen to obtain the best cutting tool life productively and economically. The results showed that the optimal cutting conditions were obtained to improve the cutting tool life in the turning process at a cutting speed of 46 m/min, feed rate of 0.1 mm/roll, and a cutting depth of 3 mm.

References

Ahsan, K. B., Mazid, A. M., Clegg, R. E., & Pang, G. K. H. (2012). Study on carbide cutting tool life using various cutting speeds for α-β Ti-alloy machining. Journal of achievements in materials and manufacturing engineering, 55(2), 601-606. ‏

Amaitik, S. M., Taşgin, T. T., & Kilic, S. E. (2006). Tool-life modelling of carbide and ceramic cutting tools using multi-linear regression analysis. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 220(2), 129-136. ‏ DOI: https://doi.org/10.1243/09544054JEM416

Cetin, M. H., Ozcelik, B., Kuram, E., & Demirbas, E. (2011). Evaluation of vegetable based cutting fluids with extreme pressure and cutting parameters in turning of AISI 304L by Taguchi method. Journal of Cleaner Production, 19(17-18), 2049-2056. ‏ DOI: https://doi.org/10.1016/j.jclepro.2011.07.013

Davoodi, B., & Eskandari, B. (2015). Tool wear mechanisms and multi-response optimization of tool life and volume of material removed in turning of N-155 iron–nickel-base superalloy using RSM. Measurement, 68, 286-294. ‏ DOI: https://doi.org/10.1016/j.measurement.2015.03.006

Feldshtein, E. E., & Wojciechowski, S. (2017). Wear of carbide inserts during turning of C45 steel in dry cutting conditions and in presence of emulsion mist. In: E3S Web of Conferences (Vol. 19, p. 03009). EDP Sciences. ‏ DOI: https://doi.org/10.1051/e3sconf/20171903009

Khan, M. M. A., Mithu, M. A. H., & Dhar, N. R. (2009). Effects of minimum quantity lubrication on turning AISI 9310 alloy steel using vegetable oil-based cutting fluid. Journal of materials processing Technology, 209(15-16), 5573-5583. ‏ DOI: https://doi.org/10.1016/j.jmatprotec.2009.05.014

Lubis, S. Y., Djamil, S., & Zebua, Y. K. (2020). Effect of cutting speed in the turning process of AISI 1045 steel on cutting force and built-up edge (BUE) characteristics of carbide cutting tool. Sinergi, 24(3), 171-176. ‏ DOI: https://doi.org/10.22441/sinergi.2020.3.001

Mouli, A.C., Datta, T.K., Sinha, V., & Srinadh, A. (2019). Prediction of tool life of asingle point cutting tool under different metallic coatings, International Journal of Innovative Technology and Exploring Engineering, 8(7), 2628-2631 DOI: https://doi.org/10.14445/23488360/IJME-V6I4P102

Ojolo, S. J., & Ogunkomaiya, O. (2014). A study of effects of machining parameters on tool life. International Journal of Materials Science and Applications, 3(5), 183-199. ‏ DOI: https://doi.org/10.11648/j.ijmsa.20140305.19

Qehaja, N., & Kyçyku, A. (2017). Tool life modeling based on cutting parameters and work material hardness in turning process. Machines. Technologies. Materials., 11(7), 356-359. ‏

Ráczkövi, L. (2010). Tool life of cutting tool in case of hard turning. Hungarian Journal of Industry and Chemistry, 38(2), 133-136. ‏

Rao, C. J., Sreeamulu, D., & Mathew, A. T. (2014). Analysis of tool life during turning operation by determining optimal process parameters. Procedia Engineering, 97, 241-250. ‏ DOI: https://doi.org/10.1016/j.proeng.2014.12.247

Shah, I. B., & Gawande, K. R. (2012). Optimization of Cutting Tool Life on CNC Milling Machine Through Design of Experiments-A Suitable Approach–An overview. International Journal of Engineering and Advanced Technology (IJEAT), 1(4), 208-216. ‏

Talib, N. A. (2010). Studying the effect of cutting speed and feed rate on tool life in the turning processes. Diyala Journal of Engineering Sciences, Special issue, 181-194. ‏

Published

2023-12-31

How to Cite

Ben Isa, M. M., Hakoumah, M. O., & Altounsi, M. M. (2023). Determine the Optimal Cutting Conditions in Longitudinal Turning Operations over the Life of the Cutting Tool to Achieve the Best Production Rate and Lowest Cost. Journal of Marine Sciences and Environmental Technologies, 9(2), A 39–52. https://doi.org/10.59743/jmset.v9i2.163

Issue

Section

المقالات