OPTIMIZATION OF IDLE PATH IN DRILLING ON CNC MACHINING CENTRE USING THE GA
M., A., A., E., A., W., S., M. (2006). OPTIMIZATION OF IDLE PATH IN DRILLING ON CNC MACHINING CENTRE USING THE GA. EKB Journal Management System, 12(12th International Conference on Applied Mechanics and Mechanical Engineering.), 214-228. doi: 10.21608/amme.2006.42253
Abd Elkhalek Sh. M.; Elhakim M. A.; Wahba W. A.; Moughith W. S.. "OPTIMIZATION OF IDLE PATH IN DRILLING ON CNC MACHINING CENTRE USING THE GA". EKB Journal Management System, 12, 12th International Conference on Applied Mechanics and Mechanical Engineering., 2006, 214-228. doi: 10.21608/amme.2006.42253
M., A., A., E., A., W., S., M. (2006). 'OPTIMIZATION OF IDLE PATH IN DRILLING ON CNC MACHINING CENTRE USING THE GA', EKB Journal Management System, 12(12th International Conference on Applied Mechanics and Mechanical Engineering.), pp. 214-228. doi: 10.21608/amme.2006.42253
M., A., A., E., A., W., S., M. OPTIMIZATION OF IDLE PATH IN DRILLING ON CNC MACHINING CENTRE USING THE GA. EKB Journal Management System, 2006; 12(12th International Conference on Applied Mechanics and Mechanical Engineering.): 214-228. doi: 10.21608/amme.2006.42253

OPTIMIZATION OF IDLE PATH IN DRILLING ON CNC MACHINING CENTRE USING THE GA

The International Conference on Applied Mechanics and Mechanical Engineering
Article 34, Volume 12, 12th International Conference on Applied Mechanics and Mechanical Engineering., May 2006, Page 214-228  XML PDF (315.1 K)
Document Type: Original Article
DOI: 10.21608/amme.2006.42253
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Authors
Abd Elkhalek Sh. M.1; Elhakim M. A.2; Wahba W. A.1; Moughith W. S.1
1Egyptian Armed Forces.
2Professor, Dpt. Of Production Engineering, Ain Shams University, Cairo, Egypt.
Abstract
ABSTRACT
Optimization of the idle time is the objective of the present work which is done by
minimizing the idle tool path in drilling on CNC machining centres to improve productivity
as a result of reducing the idle path time. The case is formulated as a traveling
salesman problem and is solved using the Genetic Algorithm (GA). The Branch and
Bound (B&B) optimization method was used for the sake of comparison with the Genetic
Algorithm. The working mechanism of the GA was inspired by the nature which is based
on the evolutionary process of biological organisms. The work is done in three steps,
first step is the parameterization of the GA parameters (population size, replacement,
crossover and mutation); Second step is the numerical study for the GA validation, for
comparison between the GA and B&B and comparison between the GA and the current
practice, the third step is the experimental verification of GA results.
Keywords
Idle time; Optimization; Drilling and GA
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