The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance characteristics
- Author
- LIN, J. L1 ; LIN, C. L1
[1] Department of Automatic Engineering, Fushin Institute of Technology, Toucheng, I-Lan 261, Taiwan, Province of China - Source
International journal of machine tools & manufacture. 2002, Vol 42, Num 2, pp 237-244 ; ref : 12 ref
- CODEN
- IMTME3
- ISSN
- 0890-6955
- Scientific domain
- Mechanical engineering; Metallurgy, welding
- Publisher
- Elsevier, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Analyse statistique Analyse variance Etude expérimentale Optimisation Plan expérience Rugosité Surface rugueuse Système gris Usinage électroérosion Usinage
- Keyword (en)
- Statistical analysis Variance analysis Experimental study Optimization Experimental design Roughness Rough surface Grey system Electrical discharge machining Machining
- Keyword (es)
- Análisis estadístico Análisis variancia Estudio experimental Optimización Plan experiencia Rugosidad Superficie rugosa Sistema gris Mecanizado electroerosión Mecanizado
- Classification
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02K Experimental design
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D12 Mechanical engineering. Machine design / 001D12A General
- Discipline
- Mathematics Mechanical engineering. Mechanical construction. Handling
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 13404607
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/S0890-6955(01)00107-9 
https://dx.doi.org/10.1016/S0890-6955(01)00107-9
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