- Tytuł:
- Genetic algorithms solution to the single-objective machining process optimization time model
- Autorzy:
-
Amiolemhen, Patrick
Eseigbe, Joshua - Powiązania:
- https://bibliotekanauki.pl/articles/95251.pdf
- Data publikacji:
- 2019
- Wydawca:
- Politechnika Koszalińska. Wydawnictwo Uczelniane
- Tematy:
-
production time
optimization
machining model
genetic algorithms
development
czas produkcji
optymalizacja
obróbka
algorytmy genetyczne
rozwój - Opis:
- Minimum Production Time model of the machining process optimization problem comprising seven lathe machining operations were developed using Genetic Algorithms solution method. The various cost and time components involved in the minimum production cost and minimum production time criteria respectively, as well as all relevant technological/practical constraints were determined. An interactive, user-friendly computer package was then developed in Microsoft Visual Basic.Net environment to implement the developed models. The package was used to determine optimal machining parameters of cutting speed, feed rate and depth of cut for the seven machining operations with twenty-three technological constraints in the conversion of a cylindrical metal bar stock into a finished machined profile. The result of the single-objective machining process optimization models shows that the minimum production time is 21.84 min.
- Źródło:
-
Journal of Mechanical and Energy Engineering; 2019, 3, 1; 13-23
2544-0780
2544-1671 - Pojawia się w:
- Journal of Mechanical and Energy Engineering
- Dostawca treści:
- Biblioteka Nauki
Artykuł