Pregled bibliografske jedinice broj: 824670
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, 149 (2016), 374-379 doi:10.1016/j.proeng.2016.06.681 (međunarodna recenzija, članak, 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
Izvornik
Procedia engineering (1877-7058) 149
(2016);
374-379
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
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 was presented at the International Conference on Manufacturing Engineering and Materials (ICMEM 2016) held in Nový Smokovec, Slovakia, 6-10 June, 2016, and has been nominated for publishing in Procedia Engineering journal.
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- SCI-EXP, SSCI i/ili A&HCI
Uključenost u ostale bibliografske baze podataka::
- Scopus