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Quality control in machining using order statistics

Diamoutene, Abdoulaye and Noureddine, Farid and Kamsu-Foguem, Bernard and Barro, Diakarya Quality control in machining using order statistics. (2018) Measurement, 116. 596-601. ISSN 0263-2241

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Official URL: https://doi.org/10.1016/j.measurement.2017.11.036

Abstract

The quality of surface roughness for machined parts is essential in the manufacturing process. The cutting tool plays an important role in the roughness of the machined parts. The process of determining the number of tolerant faults is problematic; this is due to the fact that the behaviour of the cutting tool is random. In this paper, we use an approach based on order statistics to study the construction of functional and reliability haracteristic for the faults tolerant machined parts in each five batch of ten machined parts. Our experiments show that the number of faulty machined parts will not exceed two and the distribution of the minimum gives the best interval of the surface roughness. We have shown that the distribution of extreme order statistics plays an important role in determining the lower and upper limits of the roughness measurements depending on the reliability of the cutting tool.

Item Type:Article
HAL Id:hal-02053206
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Other partners > Institut polytechnique rural de formation et de recherche appliquée - IPR/IFRA (MALI)
Other partners > Université Ouaga 2 (BURKINA FASO)
Laboratory name:
Statistics:download
Deposited By: Pascale Lalot
Deposited On:22 Jan 2019 09:55

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