Journal of Production Engineering

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Vol. 27 No. 1 (2024)
Original Research Article

Optimizing main cutting force in high-pressure jet-assisted turning using Taguchi method

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  • Davorin Kramar,
  • Milenko Sekulić,
  • Dragan Rodić,
  • Vlastimir Pejić
Davorin Kramar
University of Ljubljana, Faculty of Mechanical Engineering, Ljubljana, Slovenia
Milenko Sekulić
University of Novi Sad, Faculty of Technical Sciences, Department for Production Engineering, Novi Sad, Serbia
Dragan Rodić
University of Novi Sad, Faculty of Technical Sciences, Department for Production Engineering, Novi Sad, Serbia
Vlastimir Pejić
Faculty of Applied Sciences in Niš, Niš, Serbia
DOI: https://doi.org/10.24867/JPE-2024-01-001

Published 2024-06-23

abstract views: 114 // FULL TEXT ARTICLE (PDF): 0


Keywords

  • Pressure of the jet,
  • Cutting speed,
  • Feed,
  • Nozzle

How to Cite

Kramar, D., Sekulić, M., Rodić, D., & Pejić, V. (2024). Optimizing main cutting force in high-pressure jet-assisted turning using Taguchi method. Journal of Production Engineering, 27(1), 1–4. https://doi.org/10.24867/JPE-2024-01-001

Copyright (c) 2024 Journal of Production Engineering

Creative Commons License

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

Abstract

In high pressure turning, the optimization of cutting forces is crucial to improve the efficiency and precision of machining. In this study, the Taguchi method is used to systematically investigate and optimize the input parameters that influence the cutting forces. By using an orthogonal array and analyzing the signal-to-noise ratio, the main factors affecting the cutting force are identified and their optimal values are determined. The effectiveness of the optimization is confirmed by validation tests, which show a significant improvement in cutting performance. The results provide actionable insights for machining and lead to better decision-making and process control in high-pressure turning. This research not only highlights the benefits of the Taguchi method in process optimization, but also contributes to advancing machining techniques by minimizing cutting forces and improving overall process stability.

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References

  1. Habak, M., Lebrun, J.L. (2011). An experimental study of the effect of high-pressure water jet assisted turning (hpwjat) on the surface integrity. International Journal of Machine Tools and Manufacture, vol. 51, no. 9, 661-669, DOI: 10.1016/j.ijmachtools.2011.05.001.
  2. Falana, S.O., Mogbojuri, G.O. (2023). Effect of copper/alumina hybrid reinforcement on the microstructure and mechanical properties of stir cast aluminum alloy aa6063. Advanced Technologies and Materials, vol. 48, no. 2, 45-53, DOI: 10.24867/ATM-2023-2-002.
  3. Nasr, G., Soltantarzeh, M., Davoodi, B., Hajaliakbari, A. (2020). Assessment of tool wear mechanisms in high-pressure jet-assisted turning process of a nickel-based superalloy. Wear, vol. 460, 203454, DOI: 10.1016/j.wear.2020.203454.
  4. Trifunović, M., Madić, M., Janković, P. (2023). Analysis of chip compression ratio in turning of polyoxymethylene copolymer. Journal of Production Engineering, vol.26 (2), 13-17, DOI: 10.24867/JPE-2023-02-013.
  5. Tešić, S., Jotić, G., Čiča, Đ., Sredanović, B., Štrbac, B., Ranisavljev, M. (2023). Assessing the precision of machine tools through various measurement systems. Journal of Production Engineering, vol.26 (2), 18-22, DOI: 10.24867/JPE-2023-02-018.
  6. Mia, M., Khan, M.A., Dhar, N.R. (2017). Performance prediction of high-pressure coolant assisted turning of ti-6al-4v. The International Journal of Advanced Manufacturing Technology, vol. 90, 1433-1445, DOI: 10.1007/s00170-016-9468-5.
  7. Gupta, M.K., Sood, P., Singh, G., Sharma, V.S. (2018). Investigations of performance parameters in nfmql assisted turning of titanium alloy using topsis and particle swarm optimisation method. International Journal of Materials and Product Technology, vol. 57, no. 4, 299-321, DOI: 10.1504/IJMPT.2018.095116.
  8. Chen, W.-H., Wang, J.-S., Chang, M.-H., Mutuku, J.K., Hoang, A.T. (2021). Efficiency improvement of a vertical-axis wind turbine using a deflector optimized by taguchi approach with modified additive method. Energy Conversion and Management, vol. 245, 114609.
  9. Reddy, J.J., Varaprasad, B., Reddy, P.V. (2021). Multi-objective optimization of erosion parameters of erodible soils using taguchi-based gray relation analysis. Arabian Journal of Geosciences, vol. 14, no. 17, 1723, DOI: 10.1007/s12517-021-08192-y.
  10. Zhang, C., Ehmann, K., Li, Y. (2015). Analysis of cutting forces in the ultrasonic elliptical vibration-assisted micro-groove turning process. The International Journal of Advanced Manufacturing Technology, vol. 78, 139-152, DOI: 10.1016/j.enconman.2021.114609.
  11. Mirmohammadsadeghi, S.E., Amirabadi, H. (2018). High-pressure jet-assisted turning of aisi 304: Experimental and multi-objective optimization approach. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, vol. 232, no. 6, 734-750, DOI: 10.1177/0954408917738488.
  12. Dahlman, P. (2002). A comparison of temperature reduction in high-pressure jet-assisted turning using high pressure versus high flowrate. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 216, no. 4, 467-473, DOI: 10.1243/0954405021520067.