Efficiency of Tool Path Optimization Using Genetic Algorithm in Relation to the Optimization Achieved with the CAM Software (CROSBI ID 637799)
Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Pezer, Danijela
engleski
Efficiency of Tool Path Optimization Using Genetic Algorithm in Relation to the Optimization Achieved with the CAM Software
The production efficiency has an important role for each manufacturing process, especially in the process of drilling a large number of holes, where production depends on the time required for drilling. The tool path optimization during the drilling is necessary because it leads to increase productivity and to save production costs, especially if the tool that performs drilling operation must visit a significant number of places. The proposed solution is obtained by using a genetic algorithm whereby the optimization problem is reduced to the Traveling Salesman Problem. Problem solution was achieved by using MATLAB software, and the obtained results were compared with the results achieved with CAM software (WinCAM, CAMConcept and CATIA V5).
Optimization ; Genetic Algorithm (GA) ; Drilling ; Travelling Salesman Problem (TSP) ; CAM software
The article has been nominated for publishing in Procedia Engineering journal.
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Podaci o prilogu
374-379.
2016.
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objavljeno
10.1016/j.proeng.2016.06.681
Podaci o matičnoj publikaciji
Procedia engineering
Sergej Hloch ; Grzegorz Krolczyk
Elsevier
1877-7058
Podaci o skupu
International Conference on Manufacturing Engineering and Materials, ICMEM 2016
predavanje
06.06.2016-10.06.2016
Vysoké Tatry, Slovačka