INTELLIGENT METHODOLOGY FOR OPTIMAL SELECTION OF NON-TRADITIONAL MACHINING PROCESSES
Last updated: 04 Jan 2025
10.21608/amme.2012.37073
Non-Traditional Machining, Material, Shape, Operational Capabilities, Economical Aspects, environmental aspects, Fuzzy Logic, Membership Function, IF-THEN Rules, Sugeno Inference System, and Suitability Index
S.
El-Bahloul
A.
Demonstrator, Prod. Eng. & Mech. Design Dept, Faculty of Engineering, Mansoura University, Egypt.
H.
El-Shourbagy
E.
Asst. Prof., Prod. Eng. & Mech. Design Dept, Faculty of Engineering, Mansoura University, Egypt.
M.
Al-Makky
Y.
Prof., Prod. Eng. Dept, Faculty of Engineering, Alexandria University, Egypt.
T.
El-Midany
T.
Prof., Prod. Eng. & Mech. Design Dept, Faculty of Engineering, Mansoura University, Egypt.
15
15th International Conference on Applied Mechanics and Mechanical Engineering.
5891
2012-05-01
2019-06-25
2012-05-01
1
12
2636-4352
2636-4360
https://amme.journals.ekb.eg/article_37073.html
https://amme.journals.ekb.eg/service?article_code=37073
81
Original Article
831
Journal
The International Conference on Applied Mechanics and Mechanical Engineering
https://amme.journals.ekb.eg/
INTELLIGENT METHODOLOGY FOR OPTIMAL SELECTION OF NON-TRADITIONAL MACHINING PROCESSES
Details
Type
Article
Created At
22 Jan 2023