Computer Aided Selection of Optimal Non-Traditional Machining Processes. | ||||
MEJ- Mansoura Engineering Journal | ||||
Article 9, Volume 36, Issue 4, December 2011, Page 20-29 PDF (14.41 MB) | ||||
Document Type: Research Studies | ||||
DOI: 10.21608/bfemu.2020.122166 | ||||
View on SCiNiTO | ||||
Authors | ||||
T. T. El-Midany* 1; M. Al-Makky2; H. E. El-Shourbagy3; S. El-Bahloul4 | ||||
1Professor of Production and Mechanical Design Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt. | ||||
2Professor of Production Engineering Department., Faculty of Engineering., Alexandria University., Alexandria., Egypt. | ||||
3Assistant Professor., Production and Mechanical Design Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt. | ||||
4Instructor., Production and Mechanical Design Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt. | ||||
Abstract | ||||
Manufacture of a product in a desired shape and size with specific characteristics and properties depend not only on the design of the product but also on the selection of the appropriate manufacturing process(es) that requires knowledge about various available alternatives. This paper presents a software for selecting an optimal non-traditional machining process(es). It has been developed using MATLAB, version (V7.8) release (R2009a), as programming language with the help of graphical user interface (GUI), visual aids, and fuzzy logic toolboxes. The selection procedures are based on elimination and ranking technique, and have been tested with a case study. | ||||
Keywords | ||||
Non-traditional machining; Fuzzy logic; Membership function; IF-THEN rules; Sugeno fuzzy logic inference system; Suitability index | ||||
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