Journal of Production Engineering

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Vol. 28 No. 2 (2025)
Original Research Article

Full factorial study on specific cutting forces in tangential turning of 42CrMo4 steel shafts

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  • István Sztankovics
István Sztankovics
University of Miskolc, Institute of Manufacturing Science, H-3515 Mikskolc, Egyetemváros
DOI: https://doi.org/10.24867/JPE-2025-02-001

Published 2025-12-15

abstract views: 10 // FULL TEXT ARTICLE: 0


Keywords

  • Cutting force,
  • Design of experiments,
  • Force measurement,
  • Specific cutting force,
  • Tangential turning

How to Cite

Sztankovics, István. 2025. “Full Factorial Study on Specific Cutting Forces in Tangential Turning of 42CrMo4 Steel Shafts”. Journal of Production Engineering 28 (2):1-9. https://doi.org/10.24867/JPE-2025-02-001.

Copyright (c) 2025 Journal of Production Engineering

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

This study investigates the cutting force characteristics in tangential turning of 42CrMo4 alloy steel using a full factorial experimental design. The objective is to evaluate the influence of cutting speed, feed per revolution, and depth of cut on the tangential (major cutting force), axial (feed-directional force), and radial (thrust force) components, as well as on their corresponding specific cutting forces. The experimental work was conducted on a hard turning center equipped with tangential turning tooling. Cutting forces were measured using a three-component dynamometer. A total of eight experimental setups were defined based on different combinations of cutting parameters. For each setup, all three force components and their corresponding specific cutting forces were determined. Polynomial regression equations were developed to model the influence of the input parameters on the cutting forces. The results indicate that feed per revolution and depth of cut significantly increase the magnitude of all force components, whereas higher cutting speed tends to reduce the major cutting force. The specific cutting forces decrease with increasing chip cross-sectional area, indicating improved cutting efficiency. In contrast, the specific thrust force exhibits a more complex behavior, influenced by chip flow characteristics and radial tool engagement. Overall, this study contributes to a deeper understanding of cutting mechanics in tangential turning and provides a basis for optimizing high-feed machining strategies for hardened steels.

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References

  1. Chuangwen, X., Jianming, D., Yuzhen, C., Huaiyuan, L., Zhicheng, S., & Jing, X. (2018). The relationships between cutting parameters, tool wear, cutting force and vibration. Advances in Mechanical Engineering, 10(1), 1–12. https://doi.org/10.1177/1687814017750434
  2. Mohamed, A., Hassan, M., M’Saoubi, R., & Attia, H. (2022). Tool condition monitoring for high-performance machining systems—A review. Sensors, 22(6), 2206. https://doi.org/10.3390/s22062206
  3. Felhő, C., & Namboodri, T. (2024). Statistical analysis of cutting force and vibration in turning X5CrNi18-10 steel. Applied Sciences, 15(1), 54. https://doi.org/10.3390/app15010054
  4. Pálmai, Z., Kundrák, J., Felhő, C., & Makkai, T. (2024). Investigation of the transient change of the cutting force during the milling of C45 and X5CrNi18-10 steel taking into account the dynamics of the electro-mechanical measuring system. The International Journal of Advanced Manufacturing Technology, 133(1–2), 163–182. https://doi.org/10.1007/s00170-024-13640-6
  5. Felhő, C. (2023). Analysis of the effect of varying the cutting ratio on force components and surface roughness in face milling. Cutting & Tools in Technological System, 99, 3–11. https://doi.org/10.20998/2078-7405.2023.99.01
  6. Jayaram, S., Kapoor, S., & DeVor, R. (2001). Estimation of the specific cutting pressures for mechanistic cutting force models. International Journal of Machine Tools and Manufacture, 41(2), 265–281. https://doi.org/10.1016/S0890-6955(00)00076-6
  7. Kundrák, J., Karpuschewski, B., Pálmai, Z., Felhő, C., Makkai, T., & Borysenko, D. (2020). The energetic characteristics of milling with changing cross-section in the definition of specific cutting force by FEM method. CIRP Journal of Manufacturing Science and Technology, 32, 61–69. https://doi.org/10.1016/j.cirpj.2020.11.006
  8. Denkena, B., Vehmeyer, J., Niederwestberg, D., & Maaß, P. (2014). Identification of the specific cutting force for geometrically defined cutting edges and varying cutting conditions. International Journal of Machine Tools and Manufacture, 82–83, 42–49. https://doi.org/10.1016/j.ijmachtools.2014.03.009
  9. Yun, W., & Cho, D. (2001). Accurate 3-D cutting force prediction using cutting condition independent coefficients in end milling. International Journal of Machine Tools and Manufacture, 41(4), 463–478. https://doi.org/10.1016/S0890-6955(00)00097-3
  10. Mukherjee, I., & Ray, P. K. (2006). A review of optimization techniques in metal cutting processes. Computers & Industrial Engineering, 50(1–2), 15–34. https://doi.org/10.1016/j.cie.2005.10.001
  11. Yusup, N., Zain, A. M., & Hashim, S. Z. M. (2012). Evolutionary techniques in optimizing machining parameters: Review and recent applications (2007–2011). Expert Systems with Applications, 39(10), 9909–9927. https://doi.org/10.1016/j.eswa.2012.02.109
  12. Cui, X., Zhao, B., Jiao, F., & Zheng, J. (2015). Chip formation and its effects on cutting force, tool temperature, tool stress, and cutting edge wear in high- and ultra-high-speed milling. The International Journal of Advanced Manufacturing Technology, 83(1–4), 55–65. https://doi.org/10.1007/s00170-015-7539-7
  13. Becze, C., & Elbestawi, M. (2002). A chip formation based analytic force model for oblique cutting. International Journal of Machine Tools and Manufacture, 42(4), 529–538. https://doi.org/10.1016/S0890-6955(01)00129-8
  14. Schubert, A., Zhang, R., & Steinert, P. (2013). Manufacturing of twist-free surfaces by hard turning. Procedia CIRP, 7, 294–298. https://doi.org/10.1016/j.procir.2013.05.050
  15. Sztankovics, I. (2024). Analytical determination of high-feed turning procedures by the application of constructive geometric modeling. FME Transactions, 52(2), 173–185. https://doi.org/10.5937/fme2402173s
  16. Barcelos, M., De Almeida, D., Tusset, F., & Scheuer, C. (2024). Performance analysis of conventional and high-feed turning tools in machining the thermally affected zone after plasma arc cutting of low carbon manganese-alloyed steel. Journal of Manufacturing Processes, 115, 18–39. https://doi.org/10.1016/j.jmapro.2024.01.088
  17. Khan, S. A., Ahmad, M. A., Saleem, M. Q., Ghulam, Z., & Qureshi, M. A. M. (2016). High-feed turning of AISI D2 tool steel using multi-radii tool inserts: Tool life, material removed, and workpiece surface integrity evaluation. Materials and Manufacturing Processes, 32(6), 670–677. https://doi.org/10.1080/10426914.2016.1232815
  18. Xu, Q., Zhao, J., & Ai, X. (2017). Cutting performance of tools made of different materials in the machining of 42CrMo4 high-strength steel: A comparative study. The International Journal of Advanced Manufacturing Technology, 93(5–8), 2061–2069. https://doi.org/10.1007/s00170-017-0666-6
  19. Makhesana, M. A., Baravaliya, J. A., Parmar, R. J., Mawandiya, B. K., & Patel, K. M. (2021). Machinability improvement and sustainability assessment during machining of AISI 4140 using vegetable oil-based MQL. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 43(12), 1–15. https://doi.org/10.1007/s40430-021-03256-2
  20. Kleijnen, J. P. (2008). Design of experiments: Overview. Proceedings of the 2008 Winter Simulation Conference, 479–488. https://doi.org/10.1109/WSC.2008.4736103
  21. Ferencsik, V. (2024). FEM investigation of the roughness and residual stress of diamond burnished surface. Journal of Experimental and Theoretical Analyses, 2(4), 80–90. https://doi.org/10.3390/jeta2040007
  22. Smolnicki, S., & Varga, G. (2025). Analysis of surface roughness of diamond-burnished surfaces using Kraljic matrices and experimental design. Applied Sciences, 15(14), 8025. https://doi.org/10.3390/app15148025
  23. Sevella, V., Ali, A., Abdelhadi, A., & Alkhaleefah, A. (2025). Data-driven optimization of CNC manufacturing using simulation and DOE techniques. Applied Sciences, 15(14), 7637. https://doi.org/10.3390/app15147637
  24. Aleksić, A., Sekulić, M., Gostimirović, M., Rodić, D., Savković, B., & Antić, A. (2021). Effect of cutting parameters on cutting forces in turning of CPM 10V steel. Journal of Production Engineering, 24(2), 5–8. https://doi.org/10.24867/jpe-2021-02-005