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Pregled bibliografske jedinice broj: 729337

Tool path optimization of drilling sequence using genetic algorithm


Šarić, Tomislav; Pezer, Danijela; Šimunović, Goran; Lujić, Roberto
Tool path optimization of drilling sequence using genetic algorithm // 6th International Scientific and Expert Conference of the International TEAM Society (TEAM 2014) : proceedings / Major, Andrea Ádámné (ur.).
Kecskemét: Kecskemét College, Faculty of Mechanical Engineering and Automation, 2014. str. 393-398 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 729337 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Tool path optimization of drilling sequence using genetic algorithm

Autori
Šarić, Tomislav ; Pezer, Danijela ; Šimunović, Goran ; Lujić, Roberto

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
6th International Scientific and Expert Conference of the International TEAM Society (TEAM 2014) : proceedings / Major, Andrea Ádámné - Kecskemét : Kecskemét College, Faculty of Mechanical Engineering and Automation, 2014, 393-398

ISBN
978-615-5192-22-7

Skup
6th International Scientific and Expert Conference of the International TEAM Society

Mjesto i datum
Kecskemét, Mađarska, 10.11.2014. - 11.11.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Optimization ; Genetic Algorithm (GA) ; Drilling ; Travelling Salesman Problem (TSP)

Sažetak
This paper presents the approach of searching for the optimal tool path during drilling. The solution is obtained using the genetic algorithm where the drilling sequence optimization problem is reduced to the Travelling Salesman Problem. The genetic algorithm is used in order to minimize the path length, i.e. to reduce the total time of the tool path. The results achieved by the criterion of minimum tool path ultimately lead to savings of the technological time and decrease of the total cost of production. The solution of the problem was achieved using the MATLAB software, while the program code was designed for the selected technological task of drilling. The achieved software solution was simulated by the EMCO WinNC program for the Sinumerik 840D Mill control unit.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA


Projekti:
152-1521781-2235 - Razvoj ERP sustava za digitalno poduzeće (Šarić, Tomislav, MZOS ) ( CroRIS)

Ustanove:
Strojarski fakultet, Slavonski Brod


Citiraj ovu publikaciju:

Šarić, Tomislav; Pezer, Danijela; Šimunović, Goran; Lujić, Roberto
Tool path optimization of drilling sequence using genetic algorithm // 6th International Scientific and Expert Conference of the International TEAM Society (TEAM 2014) : proceedings / Major, Andrea Ádámné (ur.).
Kecskemét: Kecskemét College, Faculty of Mechanical Engineering and Automation, 2014. str. 393-398 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Šarić, T., Pezer, D., Šimunović, G. & Lujić, R. (2014) Tool path optimization of drilling sequence using genetic algorithm. U: Major, A. (ur.)6th International Scientific and Expert Conference of the International TEAM Society (TEAM 2014) : proceedings.
@article{article, author = {\v{S}ari\'{c}, Tomislav and Pezer, Danijela and \v{S}imunovi\'{c}, Goran and Luji\'{c}, Roberto}, editor = {Major, A.}, year = {2014}, pages = {393-398}, keywords = {Optimization, Genetic Algorithm (GA), Drilling, Travelling Salesman Problem (TSP)}, isbn = {978-615-5192-22-7}, title = {Tool path optimization of drilling sequence using genetic algorithm}, keyword = {Optimization, Genetic Algorithm (GA), Drilling, Travelling Salesman Problem (TSP)}, publisher = {Kecskem\'{e}t College, Faculty of Mechanical Engineering and Automation}, publisherplace = {Kecskem\'{e}t, Ma\djarska} }
@article{article, author = {\v{S}ari\'{c}, Tomislav and Pezer, Danijela and \v{S}imunovi\'{c}, Goran and Luji\'{c}, Roberto}, editor = {Major, A.}, year = {2014}, pages = {393-398}, keywords = {Optimization, Genetic Algorithm (GA), Drilling, Travelling Salesman Problem (TSP)}, isbn = {978-615-5192-22-7}, title = {Tool path optimization of drilling sequence using genetic algorithm}, keyword = {Optimization, Genetic Algorithm (GA), Drilling, Travelling Salesman Problem (TSP)}, publisher = {Kecskem\'{e}t College, Faculty of Mechanical Engineering and Automation}, publisherplace = {Kecskem\'{e}t, Ma\djarska} }




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