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Pregled bibliografske jedinice broj: 827414

Efficiency of Tool Path Optimization Using Genetic Algorithm in Relation to the Optimization Achieved with the CAM Software


Pezer, Danijela
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.).
Nový Smokovec, 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
Nový Smokovec, Slovačka, 06-10.06.2016

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.



POVEZANOST RADA


Ustanove:
Strojarski fakultet, Slavonski Brod

Profili:

Avatar Url Danijela Pezer (autor)

Citiraj ovu publikaciju

Pezer, Danijela
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.).
Nový Smokovec, Slovačka: Elsevier, 2016. str. 374-379 doi:10.1016/j.proeng.2016.06.681 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Pezer, D. (2016) Efficiency of Tool Path Optimization Using Genetic Algorithm in Relation to the Optimization Achieved with the CAM Software. U: Sergej Hloch & Grzegorz Krolczyk (ur.)Procedia Engineering doi:10.1016/j.proeng.2016.06.681.
@article{article, author = {Pezer, D.}, year = {2016}, pages = {374-379}, DOI = {10.1016/j.proeng.2016.06.681}, keywords = {Optimization, Genetic Algorithm (GA), Drilling, Travelling Salesman Problem (TSP), CAM software}, doi = {10.1016/j.proeng.2016.06.681}, title = {Efficiency of Tool Path Optimization Using Genetic Algorithm in Relation to the Optimization Achieved with the CAM Software}, keyword = {Optimization, Genetic Algorithm (GA), Drilling, Travelling Salesman Problem (TSP), CAM software}, publisher = {Elsevier}, publisherplace = {Nov\'{y} Smokovec, Slova\v{c}ka} }
@article{article, author = {Pezer, D.}, year = {2016}, pages = {374-379}, DOI = {10.1016/j.proeng.2016.06.681}, keywords = {Optimization, Genetic Algorithm (GA), Drilling, Travelling Salesman Problem (TSP), CAM software}, doi = {10.1016/j.proeng.2016.06.681}, title = {Efficiency of Tool Path Optimization Using Genetic Algorithm in Relation to the Optimization Achieved with the CAM Software}, keyword = {Optimization, Genetic Algorithm (GA), Drilling, Travelling Salesman Problem (TSP), CAM software}, publisher = {Elsevier}, publisherplace = {Nov\'{y} Smokovec, Slova\v{c}ka} }

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