Quantitative analysis of thermographic inspection results for assessing temperature dynamics during external turning

Authors

  • Hennadii Oborskyi Odesа Polytechnic National University image/svg+xml Author
  • Liudmyla Perperi Odesа Polytechnic National University image/svg+xml Author
  • Volodymyr Goloborodko Odesа Polytechnic National University image/svg+xml Author
  • Hanna Holoborodko Odesа Polytechnic National University image/svg+xml Author

DOI:

https://doi.org/10.15276/opu.1.73.2026.07

Keywords:

thermographic investigation, cutting zone, maximum temperature, frame-by-frame analysis, logarithmic approximation

Abstract

The article examines an approach to the quantitative processing of thermographic data obtained during external turning of steel workpieces. The relevance of the study is driven by the need not only for visual monitoring of the temperature field but also for the generation of numerical indicators characterising the variation of the thermal state of the cutting zone over time. The proposed approach is based on frame-by-frame analysis of thermographic video recordings, determination of maximum temperature values within a selected region of interest, and the construction of time-dependent relationships of the maximum temperature. The study was carried out for the following workpiece materials: steel С22, stainless steel X6CrNiTi18-10, and steel 41Cr4 under identical machining conditions. To reduce the influence of short-duration local fluctuations, smoothing by the method of centred moving average over five points was applied. The general character of temperature variation was described by logarithmic approximation, and the agreement between the model and the experimental data was assessed using the coefficient of determination. It is demonstrated that for all investigated materials, the temperature relationships share common features: a rapid temperature increase at the beginning of machining, followed by a transition to a slower rise in the temperature level with local fluctuations. The most intensive temperature increase was established for steel 41Cr4, whilst for steel С22 the temperature trend is less pronounced. The obtained results confirm the appropriateness of employing frame-by-frame analysis of thermographic recordings for the quantitative assessment of temperature dynamics in the cutting zone and for the comparison of the thermal state of the machining process for different materials. The practical significance of the approach lies in the possibility of utilising the obtained relationships for the further substantiation of cutting regimes and monitoring of the stability of the thermal state.

References

1.

Shaw, M. C. (2005). Metal cutting principles (2nd ed.). Oxford University Press.

2.

Childs, T. H. C., Maekawa, K., Obikawa, T., & Yamane, Y. (2000). Metal machining: Theory and applications. Butterworth-Heinemann.

3.

Yakimov, O. V., Usov, A. V., Slobodianyk, P. T., & Iorgachov, D. V. (2000). Thermophysics of machining. Astroprint.

4.

Abukhshim, N. A., Mativenga, P. T., & Sheikh, M. A. (2006). Heat generation and temperature prediction in metal cutting: A review and implications for high speed machining. International Journal of Machine Tools and Manufacture, 46(7–8), 782–800. https://doi.org/10.1016/j.ijmachtools.2005.07.024.

5.

Gugnin V., Perperi L., Oborskyi G., Goloborodko G., Goloborodko V. (2025). Development of a Simulator Program for Studying the Effect of Cutting Modes on Cutting Temperature. Advanced Manufacturing Processes VI. InterPartner 2024 / eds. V. Tonkonogyi, V. Ivanov, J. Trojanowska, G. Oborskyi. Cham : Springer. https://doi.org/10.1007/978-3-031-82746-4_25.

6.

Saez-de-Buruaga, M., Soler, D., Aristimuño, P. X., Esnaola, J. A., & Arrazola, P. J. (2018). Determining tool/chip temperatures from thermography measurements in metal cutting. Applied Thermal Engineering, 145, 305–314. https://doi.org/10.1016/j.applthermaleng.2018.09.051.

7.

De Maddis, M., Lunetto, V., Razza, V., & Russo Spena, P. (2022). Infrared thermography for investigation of surface quality in dry finish turning of Ti6Al4V. Metals, 12(1), Article 154. https://doi.org/10.3390/met12010154.

8.

Oborskyi G., Goloborodko V., Perperi L. (2025). Metrological Aspects of the Thermographic Study of the Turning Process. Smart Innovations in Energy and Mechanical Systems. SIEMS 2025. Lecture Notes in Networks and Systems. Vol. 1480 / eds. D. Pavlenko, P. Tryshyn, N. Honchar, O. Kozlova. Cham : Springer. P. 110–119. DOI: https://doi.org/10.1007/978-3-031-95191-6_11.

9.

Kuczmaszewski, J., Zagórski, I., & Zgórniak, P. (2022). Chip temperature measurement in the cutting area during rough milling magnesium alloys with a Kordell geometry end mill. Advances in Science and Technology Research Journal, 16(2), 109–119. https://doi.org/10.12913/22998624/146851.

10.

Guimarães, B., Rosas, J., Fernandes, C. M., Figueiredo, D., Lopes, H., Paiva, O. C., Silva, F. S., & Miranda, G. (2023). Real-time cutting temperature measurement in turning of AISI 1045 steel through an embedded thermocouple: A comparative study with infrared thermography. Journal of Manufacturing and Materials Processing, 7(1), Article 50. https://doi.org/10.3390/jmmp7010050.

11.

Holoborodko, V., & Perperi, L. (2025). Verification of the results of thermographic monitoring of thermal processes of external turning based on mathematical modeling of the thermal state of the cutting zone. Measuring and Computing Devices in Technological Processes, 82(2), 142–150. https://doi.org/10.31891/2219-9365-2025-82-19.

12.

DSTU EN 10027-1:2019. (2019). Steel. Designation systems. Part 1: Steel names (EN 10027-1:2016, IDT). SE “UkrNDNC”.

Downloads

Published

2026-07-29

How to Cite

[1]
H. Oborskyi, L. Perperi, V. Goloborodko, and H. Holoborodko, “Quantitative analysis of thermographic inspection results for assessing temperature dynamics during external turning”, OP, no. 1(73), pp. 60–69, Jul. 2026, doi: 10.15276/opu.1.73.2026.07.

Similar Articles

1-10 of 47

You may also start an advanced similarity search for this article.