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Vol.4, No.1, 2025: pp.31-36
Modelling of cutting force relationship as a function of cutting conditions and tool wear
Authors:
Pavel Kovač1, Borislav Savković1
, Branislav Dudić2
1University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia
2Faculty of Management, Comenius University Bratislava, Bratislava, Slovakia
Received: 11 December 2024
Revised: 13 February 2025
Accepted: 27 March 2025
Published: 31 March 2025
Abstract:
In the paper, experimental investigations were conducted under various cutting conditions, as planned, during face milling. The cutting force components and tool wear parameters are listed concerning time. The research observed that the cutting force components increase with time and/or tool wear. The relationships between cutting force components versus cutting conditions and tool wear parameters were mathematically expressed by models in powder form. Individual relationships of machining parameters as a function of cutting force changes are presented in graphical form, as well as a tabular presentation of the relationship between tool wear and cutting force components. Determined relationships are valid with strong correlation coefficients and are suitable for process monitoring.
Keywords:
Milling machine, Cutting force, Cutting conditions, Tool wear, Surface roughness
References:
[1] J. Zhou, X. Mao, H. Liu, B. Li, Y. Peng, Prediction of cutting force in milling process using vibration signals of machine tool. The International Journal of Advanced Manufacturing Technology, 99, 2018:965–984. https://doi.org/10.1007/s00170-018-2464-1
[2] M. Duspara, B. Savković, B. Dudic, A. Stoić, Effective Detection of the Machinability of Stainless Steel from the Aspect of the Roughness of the Machined Surface. Coatings, 13(2), 2023: 447.
https://doi.org/10.3390/coatings13020447
[3] P. Kovac, D. Rodic, V. Pucovsky, B. Savkovic, M. Gostimirovic Application of fuzzy logic and regression analysis for modeling surface roughness in face milliing. Journal of Intelligent Manufacturing, 24, 2013: 755–762.
https://doi.org/10.1007/s10845-012-0623-z
[4] Y. Li, G. Zheng, X. Zhang, X. Cheng, X.Yang, R. Xu, Cutting force, tool wear and surface roughness in high-speed milling of high- strength steel with coated tools. Journal of Mechanical Science and Technology, 33, 2019: 5393–5398.
https://doi.org/10.1007/s12206-019-1033-3
[5] P. Kovač, M.Tarić, B. Savković, D. Ješić, B. Dudić, Genetic Algorithams Modeling of Cutting Forces During Turning Hard Steel for Economic Sustanable Production. Lecture Notes in Networks and Systems, 687, 2023: 139-148.
https://doi.org/10.1007/978-3-031-31066-9_15
[6] G. Zhang, J. Wang, S. To, Tool Wear Monitoring Method Using Cutting Force in Ultra-precision Raster Milling. In: Fly Cutting Technology for Ultra-precision Machining. Precision Manufacturing, 2023: 181–214. https://doi.org/10.1007/978-981-99-0738-0_8
[7] D. Peng, H. Li, Intelligent monitoring of milling tool wear based on milling force coefficients by prediction of instantaneous milling forces. Mechanical Systems and Signal Processing, 208, 2024: 111033.
https://doi.org/10.1016/j.ymssp.2023.111033
[8] J. Stanojković, M. Radovanović, Influence of the cutting parameters on force, moment and surface roughness in the end milling of aluminum 6082-T6. Facta Universitatis, Series: Mechanical Engineering, 20(1), 2022: 157-165.
https://doi.org/10.22190/FUME180220002S
[9] Y. Peng, Q. Song, R. Wang, X. Yang, Z. Liu, Z. Liu, A tool wear condition monitoring method for non-specific sensing signals. International Journal of Mechanical Sciences, 263, 2024: 108769. https://doi.org/10.1016/j.ijmecsci.2023.108769
[10] Q. Xing, X. Zhang, S. Wang, X. Yu, Q. Liu, T. Liu, Milling Tool Wear Monitoring via the Multichannel Cutting Force Coefficients. Machines, 12(4), 2024: 249. https://doi.org/10.3390/machines12040249
[11] X. Chuangwen, D. Jianming, C. Yuzhen, L. Huaiyuan, S. Zhicheng, X. Jing, The relationships between cutting parameters, tool wear, cutting force and vibration. Advances in Mechanical Engineering, 10(1), 2018: 201.
https://doi.org/10.1177/1687814017750434
[12] Y.C. Kao, S.J. Chen, T.K. Vi, G.H. Feng, S.Y. Tsai, Study of milling machining roughness prediction based on cutting force. IOP Conference Series: Materials Science and Engineering, 1009, 2021: 012027.
https://doi.org/10.1088/1757-899X/1009/1/012027
[13] M. Soori, B. Arezoo, Cutting tool wear prediction in machining operations, a review. Journal of New Technology and Materials, 12(2), 2022: 15-26.
[14] D.Y. Pimenov, A. Hassui, S. Wojciechowski, M. Mia, A. Magri, D.I. Suyama, A. Bustillo, G. Krolczyk, M. K. Gupta, Effect of the Relative Position of the Face Milling Tool towards the Workpiece on Machined Surface Roughness and Milling Dynamics. Applied Sciences, 9(5), 2019: 842. https://doi.org/10.3390/app9050842
[15] H. Victor, Computer-aided measurement of cutting forces applied to the wear of an end milling cutter. Wear, 62(1), 1980, 185-195. https://doi.org/10.1016/0043-1648(80)90042-3
[16] K.-D. Bouzakis, G. Methenitis, W. König, Determination of the Values of the Technological Parameters which are Used to Describe the Time Course of Cutting Force Components in Milling. CIRP Annals, 34(1), 1985: 141-144.
https://doi.org/10.1016/S0007-8506(07)61743-0
[17] H. J. Fu, R.E. DeVor, S.G. Kapoor, A Mechanistic Model for the Prediction of the Force System in Face Milling Operations. ASME. J. Eng. Ind., 106(1), 1984: 81–88. https://doi.org/10.1115/1.3185915
[18] A. Ber, D. Feldmen, The Influence of Radial Location on the Wear Behaviour of Multi-Tooth Face Milling Cutter. Annals of the CIRP, 25/1, 1977: 1-4.
[19] P. Kovač, Machinability Parameters of Single-Tooth and Multi-Tooth Face Milling. Journal of Production Engineering, 11(1-2), 1994: 43- 55. https://doi.org/10.24867/JPE-1994-11-043
[20] P. Kovač, B. Savković, D. Rodić, I. Mankova, Artificial inteligence approache to modeling of cutting force and tool wear relationships during dry machining. Journal of Production Engineering, 21(2), 2018: 13-18. http://doi.org/10.24867/JPE-2018-02-013
© 2025 by the authors. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
Volume 5
Number 1
March 2026.
How to Cite
P. Kovač, B. Savković, B. Dudić, Modelling of Cutting Force Relationship as a Function of Cutting Conditions and Tool Wear. Advanced Engineering Letters, 4(1), 2025: 31-36.
https://doi.org/10.46793/adeletters.2025.4.1.4
More Citation Formats
Kovač, P., Savković, B., & Dudić, B. (2025). Modelling of Cutting Force Relationship as a Function of Cutting Conditions and Tool Wear. Advanced Engineering Letters, 4(1), 31-36.
https://doi.org/10.46793/adeletters.2025.4.1.4
Kovač, Pavel, et al. “Modelling of Cutting Force Relationship as a Function of Cutting Conditions and Tool Wear.“ Advanced Engineering Letters, vol. 4, no. 1, 2025, pp. 31-36.
https://doi.org/10.46793/adeletters.2025.4.1.4
Kovač, Pavel, Borislav Savković, and Branislav Dudić. 2025. “Modelling of Cutting Force Relationship as a Function of Cutting Conditions and Tool Wear.“ Advanced Engineering Letters, 4 (1): 31-36.
https://doi.org/10.46793/adeletters.2025.4.1.4
Kovač, P., Savković, B. and Dudić, B. (2025). Modelling of Cutting Force Relationship as a Function of Cutting Conditions and Tool Wear. Advanced Engineering Letters, 4(1), pp. 31-36.
doi: 10.46793/adeletters.2025.4.1.4.