Optimization of Reliability Indicator Calculation for a Detachable Camshaft Lobe

Authors

  • A.G. Huseynov Azerbaijan Technical University (Baku, Azerbaijan)
  • A.F. Karimov Azerbaijan Technical University (Baku, Azerbaijan)
  • М.B. Huseynzade Azerbaijan National Aerospace Agency (Baku, Azerbaijan)
  • N.M. Mirzazade Azerbaijan National Aerospace Agency (Baku, Azerbaijan)

DOI:

https://doi.org/10.52171/herald.375

Keywords:

detachable camshaft with removable cam lobes, cam lobe, reliability indicators, pre-repair service life, mathematical-statistical analysis, statistical series

Abstract

The article evaluates the reliability indicators of the pre-repair service life of a detachable camshaft lobe used in internal combustion engines based on mathematical and statistical analysis methods. The study is based on the results of cam lobe height measurements obtained from 50 camshaft samples. On the basis of the initial experimental data, a statistical series was constructed, and the optimal number and length of intervals were determined. Empirical frequencies and probabilities were calculated, and the mean value and standard deviation of the reliability indicator were determined.

To verify the reliability of the data, the presence of outliers was analyzed using both the hˉ±3σ criterion and the Irwin criterion. The results of the calculations showed that all measurement data are valid and suitable for statistical processing. The empirical distribution of the reliability indicator was graphically represented using a histogram, a distribution polygon, and a cumulative empirical probability curve. Graphical analysis made it possible to quickly determine the relative and absolute number of camshafts requiring repair up to a given height value.

In addition, the coefficient of variation characterizing the dispersion of the reliability indicator was calculated, and based on its numerical value, the appropriateness of selecting a theoretical distribution law for the pre-repair service life was substantiated. The obtained results are of significant scientific and practical importance for predicting the service life of camshafts, optimizing maintenance intervals, and improving the reliability of internal combustion engines.

References

1. Hüseynov Ə.G., Kərimov A. (2025). Daxili yanma mühərrikinin paylayıcı valının yeyilməsinin öyrənilməsi. Azərbaycan Mühəndislik Akademiyasının Xəbərləri, 17(3), 35–46.

https://doi.org/10.52171/herald.291

2. Huseynov A., Nazarov I., Huseynli F., Safarov M. (2025), Challenges of property inheritance during the technological processing of fuel pump precision parts, Tribologia: Finnish Journal of Tribology, 10.30678/fjt.160975

3. Huseynov A., Nazarov I., Huseynli F.,Safarov M. (2025), Reliability Prediction of Precision Parts of Fuel Pumps with Enhanced Surface Hardness Achieved Through Laser Technology, Tribologia: Finnish Journal of Tribology, 10.30678/fjt.152491

4. Abbasov, V.A., Amirov, F.G., Karimov, A.F. Wear properties of camshaft cams and Improvement of their wear resistance. RT&A, Special Issue No. 7 (83), Volume 20, May 2025, pp. 297–303.

5. Huseynov, A.G., Abbasov, V., Asadov, S., & Kerimov, A. (2024). The Impact of Design and Operational Characteristics on Camshafts Reliability. Herald of the Azerbaijan Engineering Academy, 16(4), 17–26. https://doi.org/10.52171/2076-0515_2024_16_04_17_26

6. Hüseynov Ə.G. Maşınların etibarlığı. Dərslik. Bakı. 2017, 374 s.

7. https://link.springer.com/article/10.3103/S1068798X25702132

8. https://link.springer.com/chapter/10.1007/978-3-032-07678-6_50

9. Guseinov, A.G., Asadov, Sh.N. Life of parts restored by diffusional metallization. Russian Engineering Research (2013), Volume 33, Issue 6, Pages 327-329,

https://link.springer.com/article/10.3103/S1068798X13060075

10. Rasulov, N.M, Alekberov, M.Z, Nadirov, U.M. More efficient copy grinding of complex surfaces. Russian Engineering Research 41 (9), 829-831

11. Alwan, A.H., Hamzah, M.N. & Jaber, A.A. Experimental and machine learning approaches for the design and optimization of additively manufactured polymer gears: a review. Multiscale and Multidiscip. Model. Exp. and Des. 9, 60 (2026).

https://doi.org/10.1007/s41939-025-01125-2

12. Shengnan Wu, Laibin Zhang, Tianqi Liu, Tianhao Liu, Yiliu Liu. A Machine learning-based framework for reliability prediction of metallic seals with manufacturing-induced dimensional uncertainties, Reliability Engineering & System Safety,Volume 269, 2026, 112062, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2025.112062

Published

2026-06-24

How to Cite

Huseynov, A., Karimov, A., Huseynzade М., & Mirzazade, N. (2026). Optimization of Reliability Indicator Calculation for a Detachable Camshaft Lobe. Herald of Azerbaijan Engineering Academy, 18(2), 21–30. https://doi.org/10.52171/herald.375

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