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

Amiolemhen, Patrick; Eseigbe, Joshua

doi:10.30464/jmee.2019.3.1.13

Artykuł - szczegóły

Tytuł artykułu

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

Autorzy

Amiolemhen Patrick , Eseigbe Joshua

Treść / Zawartość

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DOI

10.30464/jmee.2019.3.1.13

Warianty tytułu

Języki publikacji

Abstrakty

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.

Słowa kluczowe

production time optimization machining model genetic algorithms development

czas produkcji optymalizacja obróbka algorytmy genetyczne rozwój

Wydawca

Wydawnictwo Uczelniane Politechniki Koszalińskiej

Czasopismo

Journal of Mechanical and Energy Engineering

Rocznik

2019

Tom

Vol. 3, No 1

Strony

13--23

Opis fizyczny

Bibliogr. 33 poz., rys., tab., wykr.

Twórcy

autor

Amiolemhen Patrick

patrick.amiolemhen@uniben.edu

Department of Production, Faculty of Engineering, University of Benin, P.M.B 1154, Benin City, Nigeria

autor

Eseigbe Joshua

Department of Production, Faculty of Engineering, University of Benin, P.M.B 1154, Benin City, Nigeria

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).

Typ dokumentu

Bibliografia

Identyfikator YADDA

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