OPTIMIZATION OF STATISTICAL ANALYSIS FOR GEAR INSPECTION

Authors

  • Kiril Lengerov Faculty of Mechanical Engineering, Department: Mechanical and Instrument Engineering, Technical University of Sofia, Branch Plovdiv, Plovdiv, Bulgaria
  • Ivan Tashev Faculty of Mechanical Engineering, Department: Mechanical and Instrument Engineering, Technical University of Sofia, Branch Plovdiv, Plovdiv, Bulgaria https://orcid.org/0009-0004-1097-3874

DOI:

https://doi.org/10.68302/std2026.vol2.129

Keywords:

manufacturing accuracy, process stability, statistical analysis

Abstract

This paper presents a method for evaluating the machining accuracy and process stability of the gear cutting and gear hobbing of cylindrical gears. Through statistical analysis and the use of mathematical evaluation criteria, the stability of the machining process has been established. This makes it possible to determine the optimal setup parameters and predict the maximum number of parts that can be produced with the initial setup of the machining system.

Supporting Agencies

The author/s would like to thank the Research and Development Sector at the Technical University of Sofia for the financial support.

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References

[1] V.Georgieev, Pashov St., Mechanical engineering technology, fundamentals of mechanical engineering technology, 2003.

[2] V.Georiev, A. Lengerov, Quality Control and Management, First Edition, ISBN-978-619-7010-23-7, 2014.

[3] Youssef H., H. El-Hofy, M. Ahmed, Manufacturing Technology Materials, Processes, and Equipment, ISBN 9781032432489, Boca Raton, Florida, CRC Press, 2023.

[4] Kyratsis P., J. P. Davim, Experiments and Simulations in Advanced Manufacturing, ISBN 978-3-030-69471-5, eBook ISBN 978-3-030-69472-2, Springer Cham, 2021, DOI https://doi.org/10.1007/978-3-030-69472-2

[5] Gillespie LaRoux, Design for Advanced Manufacturing: Technologies and Processes, ISBN 9781259587450, New York City, McGraw Hill, 2017.

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Published

17.09.2026

How to Cite

[1]
K. Lengerov and I. Tashev, “OPTIMIZATION OF STATISTICAL ANALYSIS FOR GEAR INSPECTION”, SysTechDev, vol. 2, pp. 155–158, Sep. 2026, doi: 10.68302/std2026.vol2.129.