Pregled bibliografske jedinice broj: 729337
Tool path optimization of drilling sequence using genetic algorithm
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
Profili:
Goran Šimunović
(autor)
Danijela Pezer
(autor)
Tomislav Šarić
(autor)
Roberto Lujić
(autor)