Multi-Objective Optimization of Squeeze Casting Process using Genetic Algorithm and Particle Swarm Optimization

• Autorzy: Patel G. C. M. , Krishna P. , Vundavilli P. R. , Parappagoudar M. B.

Identyfikatory

DOI

10.1515/afe-2016-0073

• Języki publikacji: EN

Abstrakty

EN

The near net shaped manufacturing ability of squeeze casting process requiresto set the process variable combinations at their optimal levels to obtain both aesthetic appearance and internal soundness of the cast parts. The aesthetic and internal soundness of cast parts deal with surface roughness and tensile strength those can readily put the part in service without the requirement of costly secondary manufacturing processes (like polishing, shot blasting, plating, hear treatment etc.). It is difficult to determine the levels of the process variable (that is, pressure duration, squeeze pressure, pouring temperature and die temperature) combinations for extreme values of the responses (that is, surface roughness, yield strength and ultimate tensile strength) due to conflicting requirements. In the present manuscript, three population based search and optimization methods, namely genetic algorithm (GA), particle swarm optimization (PSO) and multi-objective particle swarm optimization based on crowding distance (MOPSO-CD) methods have been used to optimize multiple outputs simultaneously. Further, validation test has been conducted for the optimal casting conditions suggested by GA, PSO and MOPSO-CD. The results showed that PSO outperformed GA with regard to computation time.

Słowa kluczowe

EN

squeeze casting process; multi-objective optimization; genetic algorithm

PL

squeeze casting; prasowanie stopu; optymalizacja wielokryterialna; algorytm genetyczny

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2016
• Tom: Vol. 16, iss. 3
• Strony: 172--186
• Opis fizyczny: Bibliogr. 43 poz., il., rys., tab., wykr., wzory

Twórcy

autor

Patel G. C. M.

• Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal, India

autor

Krishna P.

• Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal, India

autor

Vundavilli P. R.

• School of Mechanical Sciences, Indian Institute of Technology, Bhubaneswar, Odisha, India

autor

Parappagoudar M. B.

• Department of Mechanical Engineering, ChhatrapatiShivaji Institute of Technology, Durg, India

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Uwagi

PL

Opracowane ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.