Pregled bibliografske jedinice broj: 827414
Efficiency of Tool Path Optimization Using Genetic Algorithm in Relation to the Optimization Achieved with the CAM Software
Efficiency of Tool Path Optimization Using Genetic Algorithm in Relation to the Optimization Achieved with the CAM Software // Procedia Engineering / Sergej Hloch ; Grzegorz Krolczyk (ur.).
Vysoké Tatry, Slovačka: Elsevier, 2016. str. 374-379 doi:10.1016/j.proeng.2016.06.681 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Efficiency of Tool Path Optimization Using
Genetic Algorithm in Relation to the
Optimization Achieved with the CAM Software
Autori
Pezer, Danijela
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Procedia Engineering
/ Sergej Hloch ; Grzegorz Krolczyk - : Elsevier, 2016, 374-379
Skup
International Conference on Manufacturing Engineering and Materials, ICMEM 2016
Mjesto i datum
Vysoké Tatry, Slovačka, 06.06.2016. - 10.06.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Optimization ; Genetic Algorithm (GA) ; Drilling ; Travelling Salesman Problem (TSP) ; CAM software
Sažetak
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).
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
Napomena
The article has been nominated for publishing in
Procedia Engineering journal.
