STATISTICAL ANALYSIS OF THE QUALITY OF A TECHNOLOGICAL PROCESS FOR THE PRODUCTION OF SHAFTS FOR ELECTRIC MOTORS BY ROUGHNESS STUDY

Authors

  • Kliment Georgiev Technical University of Sofia, branch Plovdiv, Faculty of Mechanical Engineering; Department: Mechanical and Instrument Engineering (BG)

DOI:

https://doi.org/10.17770/etr2024vol3.8137

Keywords:

analysis, quality, quality control, surface roughness, technological process, stability, accuracy, adjustability

Abstract

This paper presents a statistical analysis of the quality of a technological process by investigating the surface roughness of shafts for electric motors obtained during machining. Repeated measurements have been carried out using a portable roughness tester INSIZE ISR - C002 and the results are summarized. Statistical analysis is applied to analyse the accuracy, adjustability, and stability of technological process. The stability of the process is presented by investigating the correlation between the experimental and theoretical curve of the quality index. Accuracy evaluation is performed by calculating the accuracy coefficient. The adjustability analysis is evaluated by the relative position of the distribution curve of the obtained quality index with respect to the tolerance field.


 


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

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Published

2024-06-22

Issue

Vol. 3 (2024): Environment. Technology. Resources. Proceedings of the 15th International Scientific and Practical Conference. Volume 3

Section

Engineering Sciences and Production Technologies

License

Copyright (c) 2024 Kliment Georgiev

Creative Commons License

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

How to Cite

[1]
K. Georgiev, “STATISTICAL ANALYSIS OF THE QUALITY OF A TECHNOLOGICAL PROCESS FOR THE PRODUCTION OF SHAFTS FOR ELECTRIC MOTORS BY ROUGHNESS STUDY”, ETR, vol. 3, pp. 70–74, Jun. 2024, doi: 10.17770/etr2024vol3.8137.