Probability methods of evaluation and control of precision reliability of metal-cutting machine tools under thermal effects

Кузнецов, А. П.

doi:10.3103/s105261881504007x

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…If the variation range is still in the allowed range of processing, and the machine tool in this stage is considered as reliable. As the accumulation of processing time, the fluctuation range of the product performance data is larger and larger to a certain extent in which it can be considered that the manufacturing process is unreliable [2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Prediction Experiments for Reliability of Machine Tool by Product Performance Data

Xia¹,

Zhu²,

Chang³

2016

Advances in Computer Science Research

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Abstract. For processing mass high quality products, it is crucial that the machine tool can keep a good running in the manufacturing process. In order that the product percent of pass is up to the standard of production, it needs to predict the reliability of the machine tool as soon as possible, which belongs to the probability distribution unknown. Based on the fuzzy set theory, prediction experiments for the reliability of the machine tool by product performance data can be realized. Prediction experiment of judging the reliability of the machine tool shows that under the confidence level P = 95.44%, if the relative error of the measurement uncertainty of the experimental data is not more than 45%, the machine tool is reliable; otherwise, the machine tool is not reliable. Prediction experiment of evaluating the reliability of the machine tool shows that it can be accurately predicted the reliability of the machine tool according to the fuzzy set theory.

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