On the Feasibility of Determining the Heat Transfer Coefficient in Casting Simulations by Genetic Algorithms

A. N. Vasileiou; G. C. Vosniakos; D. I. Pantelis

doi:10.1016/j.promfg.2017.07.144

On the Feasibility of Determining the Heat Transfer Coefficient in Casting Simulations by Genetic Algorithms

A. N. Vasileiou, G. C. Vosniakos^*, D. I. Pantelis

^*Corresponding author for this work

National Technical Univerity of Athens

Research output: Contribution to journal › Article › peer-review

Abstract

A genetic algorithm (GA) to determine the correct value of the Heat Transfer Coefficient (HTC) between mould and casting is suggested. The GA stochastically feeds different HTC values on a casting simulation program, until an acceptably low difference between the real and simulation of temperature evolution curves is reached. A numerical casting experiment was conducted assuming specific HTC to obtain the temperature versus time curve for particular points. The GA did succeed in finding the HTC values originally employed in all cases examined and the influence of its parameters on accuracy and speed was explored.

Original language	English
Pages (from-to)	509-516
Number of pages	8
Journal	Procedia Manufacturing
Volume	11
Early online date	18 Sept 2017
DOIs	https://doi.org/10.1016/j.promfg.2017.07.144
Publication status	Published - 2017

Keywords

genetic algorithms
heat ransfer coefficient
Metal casting
numerical simulation

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10.1016/j.promfg.2017.07.144Licence: CC BY-NC-ND

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abstract = "A genetic algorithm (GA) to determine the correct value of the Heat Transfer Coefficient (HTC) between mould and casting is suggested. The GA stochastically feeds different HTC values on a casting simulation program, until an acceptably low difference between the real and simulation of temperature evolution curves is reached. A numerical casting experiment was conducted assuming specific HTC to obtain the temperature versus time curve for particular points. The GA did succeed in finding the HTC values originally employed in all cases examined and the influence of its parameters on accuracy and speed was explored.",

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author = "Vasileiou, {A. N.} and Vosniakos, {G. C.} and Pantelis, {D. I.}",

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Y1 - 2017

N2 - A genetic algorithm (GA) to determine the correct value of the Heat Transfer Coefficient (HTC) between mould and casting is suggested. The GA stochastically feeds different HTC values on a casting simulation program, until an acceptably low difference between the real and simulation of temperature evolution curves is reached. A numerical casting experiment was conducted assuming specific HTC to obtain the temperature versus time curve for particular points. The GA did succeed in finding the HTC values originally employed in all cases examined and the influence of its parameters on accuracy and speed was explored.

AB - A genetic algorithm (GA) to determine the correct value of the Heat Transfer Coefficient (HTC) between mould and casting is suggested. The GA stochastically feeds different HTC values on a casting simulation program, until an acceptably low difference between the real and simulation of temperature evolution curves is reached. A numerical casting experiment was conducted assuming specific HTC to obtain the temperature versus time curve for particular points. The GA did succeed in finding the HTC values originally employed in all cases examined and the influence of its parameters on accuracy and speed was explored.

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KW - heat ransfer coefficient

KW - Metal casting

KW - numerical simulation

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JO - Procedia Manufacturing

JF - Procedia Manufacturing

ER -

On the Feasibility of Determining the Heat Transfer Coefficient in Casting Simulations by Genetic Algorithms

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Keywords

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