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Pregled bibliografske jedinice broj: 840414

Using the Ant Colony Optimization method to find an optimal solution in drilling process


Pezer, Danijela
Using the Ant Colony Optimization method to find an optimal solution in drilling process // Proceedings of the 8th International Scientific and Expert Conference / Maronek, Milan ; Barta, Jozef (ur.).
Trnava: AlumniPress, Faculty of Materials Science and Technology in Trnava, Slovakia, 2016. str. 8-11 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Using the Ant Colony Optimization method to find an optimal solution in drilling process

Autori
Pezer, Danijela

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

Izvornik
Proceedings of the 8th International Scientific and Expert Conference / Maronek, Milan ; Barta, Jozef - Trnava : AlumniPress, Faculty of Materials Science and Technology in Trnava, Slovakia, 2016, 8-11

ISBN
978-80-8096-237-1

Skup
8th International Scientific and Expert Conference of the International TEAM Society

Mjesto i datum
Trnava, Slovačka, 19-21.10.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Ant Colony Optimization ; Tool path planing ; CNC programming ; Drilling

Sažetak
The aim of each production process is to reduce the processing time, which ultimately leads to reduction of the total costs in production. Considering the stated objective, Ant Colony Optimization (ACO) method for searching of the optimal tool path in the process of drilling, was used in this paper. In this case the efficiency of production depends on the time required for drilling. ACO method is used to solve NP hard combinatorial optimization problems inspired by the behavior of different species of ants in searching for the shortest route. One of the most extensively studied combinatorial problem is the Traveling Salesman Problem (TSP). Analysis of this technological task is also based on this principle, and we consider an open tour in drilling process where at the end of the process of drilling, tool does not return to the starting point (which depends on the random selection of the proposed algorithm). With the proposed ACO algorithm, a satisfactory solution was achieved in a relatively short time, and the algorithm has shown that is reliable to use. The solution achieved with ACO algorithm was obtained by MATLAB program, and results are compared with the result obtained by manual programming. Simulation of drilling was performed by educational program EMCO WinNC for Sinumerik 840D Mill control unit.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA


Ustanove:
Strojarski fakultet, Slavonski Brod

Profili:

Avatar Url Danijela Pezer (autor)


Citiraj ovu publikaciju

Pezer, Danijela
Using the Ant Colony Optimization method to find an optimal solution in drilling process // Proceedings of the 8th International Scientific and Expert Conference / Maronek, Milan ; Barta, Jozef (ur.).
Trnava: AlumniPress, Faculty of Materials Science and Technology in Trnava, Slovakia, 2016. str. 8-11 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Pezer, D. (2016) Using the Ant Colony Optimization method to find an optimal solution in drilling process. U: Maronek, M. & Barta, J. (ur.)Proceedings of the 8th International Scientific and Expert Conference.
@article{article, author = {Pezer, D.}, year = {2016}, pages = {8-11}, keywords = {Ant Colony Optimization, Tool path planing, CNC programming, Drilling}, isbn = {978-80-8096-237-1}, title = {Using the Ant Colony Optimization method to find an optimal solution in drilling process}, keyword = {Ant Colony Optimization, Tool path planing, CNC programming, Drilling}, publisher = {AlumniPress, Faculty of Materials Science and Technology in Trnava, Slovakia}, publisherplace = {Trnava, Slova\v{c}ka} }
@article{article, author = {Pezer, D.}, year = {2016}, pages = {8-11}, keywords = {Ant Colony Optimization, Tool path planing, CNC programming, Drilling}, isbn = {978-80-8096-237-1}, title = {Using the Ant Colony Optimization method to find an optimal solution in drilling process}, keyword = {Ant Colony Optimization, Tool path planing, CNC programming, Drilling}, publisher = {AlumniPress, Faculty of Materials Science and Technology in Trnava, Slovakia}, publisherplace = {Trnava, Slova\v{c}ka} }




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