Quality entropy model of the numerical control manufacturing process
| Autor: | Yu Zhao, Wei Dai, Yongjiao Chi, Yubing Huang |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Engineering Mathematical optimization Entropy model Manufacturing process business.industry 010401 analytical chemistry 02 engineering and technology Rejection rate 01 natural sciences 0104 chemical sciences Reliability engineering 020901 industrial engineering & automation Machining Numerical control Process control Entropy (information theory) business |
| Zdroj: | 2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS). |
| Popis: | During the numerical control manufacturing process, the operational path and process parameters were defined, however, the various kinds of manufacturing factors were still generating great uncertainties. In this paper, the quality entropy model of the manufacturing process is put for word to analyze the uncertainty factors on the products of NC machining. The entropy theory combined with information entropy and quality entropy concept was proposed to model the quality entropy of the manufacturing process. The manufacturing factors, including hardware equipment, operator, environment deviation and rejection rate which influence the product quality are given, and the criterion and method determining the corresponding uncertainty state are given, and the quality entropy algorithm of the manufacturing process and the influence degree of each uncertainty are given. And the case study is analyzed and the quality entropy of manufacturing process is calculated. |
| Databáze: | OpenAIRE |
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