ARTIFICIAL INTELLIGENCE CO-OPERATION WITH CONVENTIONAL METHODOLOGIES FOR CONTROLLING OVER WEAR
Ramadan, A., Barakat, A., Etman, M. (2014). ARTIFICIAL INTELLIGENCE CO-OPERATION WITH CONVENTIONAL METHODOLOGIES FOR CONTROLLING OVER WEAR. EKB Journal Management System, 16(16th International Conference on Applied Mechanics and Mechanical Engineering.), 1-14. doi: 10.21608/amme.2014.35703
A. A. Ramadan; A. F. Barakat; M. Etman. "ARTIFICIAL INTELLIGENCE CO-OPERATION WITH CONVENTIONAL METHODOLOGIES FOR CONTROLLING OVER WEAR". EKB Journal Management System, 16, 16th International Conference on Applied Mechanics and Mechanical Engineering., 2014, 1-14. doi: 10.21608/amme.2014.35703
Ramadan, A., Barakat, A., Etman, M. (2014). 'ARTIFICIAL INTELLIGENCE CO-OPERATION WITH CONVENTIONAL METHODOLOGIES FOR CONTROLLING OVER WEAR', EKB Journal Management System, 16(16th International Conference on Applied Mechanics and Mechanical Engineering.), pp. 1-14. doi: 10.21608/amme.2014.35703
Ramadan, A., Barakat, A., Etman, M. ARTIFICIAL INTELLIGENCE CO-OPERATION WITH CONVENTIONAL METHODOLOGIES FOR CONTROLLING OVER WEAR. EKB Journal Management System, 2014; 16(16th International Conference on Applied Mechanics and Mechanical Engineering.): 1-14. doi: 10.21608/amme.2014.35703

ARTIFICIAL INTELLIGENCE CO-OPERATION WITH CONVENTIONAL METHODOLOGIES FOR CONTROLLING OVER WEAR

The International Conference on Applied Mechanics and Mechanical Engineering
Article 59, Volume 16, 16th International Conference on Applied Mechanics and Mechanical Engineering., May 2014, Page 1-14  XML PDF (508.97 K)
Document Type: Original Article
DOI: 10.21608/amme.2014.35703
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Authors
A. A. Ramadan1; A. F. Barakat2; M. Etman2
1Co-Lecturer, department of mechanical engineering, faculty of engineering, Helwan University.
2Professor, department of mechanical engineering, faculty of engineering, Helwan University.
Abstract
ABSTRACT
Over wear is one of the problems facing industry especially in the third world countries where storing conditions of inserts and workpieces are not ideal. The climates are completely different during day time and at night. The long storing time causes hardening of pieces specially those stored in open areas.
This paper proves that (Artificial intelligence) AI techniques were the key of designing a solution of the over wear problem. (Neural Network) NN proved ability to make more representing model of the turning process than the conventional methods of developing mathematical models. Data used for constructing this model were measured using an experiment of longitudinal turning performed on a CNC machine using force dynamometer of type TELC2010 with a cermet insert fixed to it, work pieces were of steel 52 [1].
Also, combination of expert system technique with conventional (Proportional Integral) PI controller using bumpless technique is the key of achieving acceptable behavior of the system under control.
Keywords
artificial intelligence; Over wear
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