Methodology for determining optimal grinding parameters for parts coated with clad titanium carbide

Authors

  • Nataliya Klymenko Odesа Polytechnic National University image/svg+xml Author
  • Oleksandr Lymarenko Odesа Polytechnic National University image/svg+xml Author
  • Vasyl Tiupa Odesа Polytechnic National University image/svg+xml Author
  • Serhii Bieletskyi Odesа Polytechnic National University image/svg+xml Author

DOI:

https://doi.org/10.15276/opu.1.73.2026.09

Keywords:

grinding parameters, composite coating, optimization, surface quality characteristics, residual stresses

Abstract

The article considers the problem of improving the efficiency of finishing machining of mechanical engineering parts with wear-resistant composite coatings based on a clad titanium carbide (TiC-NiP-Cu) system. During the work, a universal, comprehensive methodology was developed to determine the optimal machining parameters for parts with both plasma composite coatings and other surface layers of various chemical compositions. Optimal grinding parameters for the TiC-NiP-Cu coating have been determined and scientifically substantiated. It has been proven that the proposed parameters enable reliable control of the thermal and stress-strain states of the surface layer. The study accounts for the use of tools with different characteristics (including diamond and electrocorundum wheels), as well as the specifics of machining with cooling lubricants and dry machining. In addition, a direct relationship has been established between the initial parameters of plasma spraying and the optimal parameters for subsequent grinding, enabling maximum specific productivity without compromising adhesion strength. The developed approach is based on the objective of maximizing specific productivity, which is strictly limited by permissible values for residual stresses and the adhesion strength of the coating to the substrate. Furthermore, the necessity of a gradual reduction in the actual depth of cut as the allowance is removed has been experimentally confirmed, thereby ensuring defect-free machining and preventing delamination of the sprayed layer. The application of the developed methodology and the recommended parameters ensures the achievement of the specified qualitative characteristics of the surface (roughness, absence of grinding burns) while maintaining the maximum possible specific productivity of the machining.

References

1.

Sauter, E., Sarikaya, E., & Winter, M., et al. (2021). In-process detection of grinding burn using machine learning. Int J Adv Manuf Technol, 115, 2281–2297. DOI: https://doi.org/10.1007/s00170-021-06896-9.

2.

González-Lezcano, R. A., del Río-Campos, J. M., & Awad Parada, T. (2023). Influence of Thermal Residual Stresses on the Behavior of Metal Matrix Composite Materials. Iran J Sci Technol Trans Mech Eng, 47, 1903–1922. DOI: https://doi.org/10.1007/s40997-023-00601-9.

3.

Chen, L., Li, J., Ma, Z., Jiang, C., Yu, T., & Gu, R. (2025). Grinding performance and parameter optimization of laser DED TiC reinforced Ni-based composite coatings. Journal of Manufacturing Processes, 134, 466–481. DOI: https://doi.org/10.1016/j.jmapro.2024.12.062.

4.

Zhu, Y., Zhang, Q., Zhao, Q., & To, S. (2021). The material removal and the formation mechanism of nanometric surface characteristics in TiC/Ni cermet during ultra-precision grinding. International Journal of Refractory Metals and Hard Materials, 96, 105494. DOI: https://doi.org/10.1016/j.ijrmhm.2021.105494.

5.

Yan, H., Deng, F., & Niu, H., et al. (2021). Effect of grinding parameters on surface quality in internal grinding of silicon nitride ceramics. J Braz. Soc. Mech. Sci. Eng., 43, 353. DOI: https://doi.org/10.1007/s40430-021-03076-4.

6.

Li, Z., Han, X., & He, Y., et al. (2025). Comparative investigation on creep feed grinding of particle-reinforced titanium matrix composites under different grinding modes. J Braz. Soc. Mech. Sci. Eng., 47, 52. DOI: https://doi.org/10.1007/s40430-024-05367-y.

7.

Masoumi, H., Safavi, S. M., Salehi, M., & Nahvi, M. (2014). Effect of Grinding on the Residual Stress and Adhesion Strength of HVOF Thermally Sprayed WC–10Co–4Cr Coating. Materials and Manufacturing Processes, 29. DOI: https://doi.org/10.1080/10426914.2014.930893.

8.

Liu, Y., Warkentin, A., Bauer, R., & Gong, Y. (2013). Investigation of different grain shapes and dressing to predict surface roughness in grinding using kinematic simulations. Precis Eng, 37(3), 758–764. DOI: https://doi.org/10.1016/j.precisioneng.2013.02.00.

9.

Jin, G., Gao, Y., & Huang, P., et al. (2024). Surface roughness in the grinding of the outer ring and inner raceway of the tapered roller bearing. Int J Adv Manuf Technol, 131, 2447–2463. DOI: https://doi.org/10.1007/s00170-023-11793-4.

10.

Chen, H., & Tang, J. (2015). A model for prediction of surface roughness in ultrasonic-assisted grinding. Int J Adv Manuf Technol, 77, 643–651. DOI: https://doi.org/10.1007/s00170-014-6482-3.

11.

Shi, C., Chen, B., Shi, Y., & Zha, J. (2025). Surface Roughness Prediction of Bearing Ring Precision Grinding Based on Feature Extraction. Applied Sciences, 15(11), 6027. DOI: https://doi.org/10.3390/app15116027.

12.

Dias, E. A., Pereira, F. B., Ribeiro Filho, S. L. M., & Brandão, L. C. (2016). Monitoring of through-feed centreless grinding processes with acoustic emission signals. Measurement, 94, 71–79. DOI: https://doi.org/10.1016/j.measurement.2016.07.075.

13.

Chu, N., Kang, W., Yao, X., et al. (2023). Online roundness prediction of grinding workpiece based on vibration signals and support vector machine. Int J Adv Manuf Technol, 126, 2733–2743. DOI: https://doi.org/10.1007/s00170-023-11206-6.

14.

Li, X., Yao, Z., Hou, Z., Du, H., & Xie, Y. (2026). Characterization of ductile–brittle transition in silicon carbide grinding using VMD–PSO decomposed acoustic emission signals. Measurement, 241, 118998. DOI: https://doi.org/10.1016/j.measurement.2025.118998.

15.

Burek, J., Flejszar, R., & Jamuła, B. (2019). Numerical simulation of cutting layer in internal corners milling. Mechanik, 7, 412–414. DOI: https://doi.org/10.17814/MECHANIK.2019.7.46.

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Published

2026-07-29

How to Cite

[1]
N. Klymenko, O. Lymarenko, V. Tiupa, and S. Bieletskyi, “Methodology for determining optimal grinding parameters for parts coated with clad titanium carbide”, OP, no. 1(73), pp. 78–84, Jul. 2026, doi: 10.15276/opu.1.73.2026.09.

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