Tytuł:

Genetic algorithms solution to the single-objective machining process optimization time model

Twórca:

Patrick Ejebheare Amiolemhen ; Joshua Ahurome Eseigbe

Temat:

production time ; optimization ; machining model ; genetic algorhithms ; development

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.

Miejsce wydania:

Koszalin

Wydawca:

Publishing House of the Koszalin University of Technology

Data:

2019

Typ:

artykuł w czasopiśmie

Format:

application/pdf

Język:

eng

Jest częścią:

Journal of Mechanical and Energy Engineering. Vol.3 (43), nr 1, s. 13-24

Prawa:

Biblioteka Politechniki Koszalińskiej

Prawa dostępu:

internet

Licencja:

Creative Commons BY 4.0