STATISTICAL CONTROL OF ACCURACY AT MACHINING

Authors

  • Angel Lengerov Department of Machine Tools and Mechanical Engineering, Technical University (BG)
  • Galina Nikolcheva Department of Machine Tools and Mechanical Engineering, Technical University (BG)
  • Lyubomir Lazov Rezekne Academy of Technologies (BG)

DOI:

https://doi.org/10.17770/etr2017vol3.2596

Keywords:

dispersion, Statistical Process Control, quality indicator, sample

Abstract

This research examines the statistical method for quality control. The accuracy of parts is controlled statistical evaluation - an average and a dispersion of the indicator for accuracy. This paper reports a method for quality control of parts of average indicators and algorithm for quality control of the average and dispersion of samples of small size. It proposes a criterion of applicability of statistical adjustment of accuracy by sampling for control of the average data of the quality indicator. It proves the influence of the dispersion of the quality indicator for impairing the quality of the process.

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References

Cochran W. Sampling Techniques. Third ed. Wiley, 1977.

Danov T. Statistical methods for quality control. Technika. Sofia.Bulgaria. 1987.

Georgiev B, Kuzmanov T. Statistical methods for analysis and quality of technological processes in mechanical engineering. EXP-PRES. Gabrovo. Bulgaria. 2006.

Fazeli AR, Sharifi E. Statistical Control and Investigation of Capability of Process and Machine in Wire Cut EDM Process of Gas Turbine Blade Airfoil Tip. Engineering. 2011; 3: 260-265. http://www.SciRP.org/journal/eng)

Montgomery DC. Introduction to Statistical Quality. John Wiliy&Sons. Hoboken.1996.

Rachev R, Lengerov A, Levicharov G. Providing manufacturability of engineering products. Plovdiv. Bulgaria.2016.

Stoumbos ZG, Reynolds MR, Ryan TP and Woodall WH,. The State of Statistical Process Control as We Proceed into the 21st Century,” Journal of the American Statistical Association.2000; Vol. 95. No. 451: 992-998.

Stephenson DA, Agapiou JS. Metal Cutting Theory and Practice. Third ed. Marcel Dekker.2016.

Woodall WH, Montgomery DC. Research Issues and Ideas in Statistical Process Control, Journal of Quality Technology.1999; Vol. 31. No. 4: 376-386.

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Published

2017-06-15

Issue

Vol. 3 (2017): Environment. Technology. Resources. Proceedings of the 11th International Scientific and Practical Conference. Volume 3

Section

Engineering Sciences and Production Technologies

How to Cite

[1]
A. Lengerov, G. Nikolcheva, and L. Lazov, “STATISTICAL CONTROL OF ACCURACY AT MACHINING”, ETR, vol. 3, pp. 183–187, Jun. 2017, doi: 10.17770/etr2017vol3.2596.