OPTIMIZATION OF SIMULATION MODEL PARAMETERS FOR SOLIDIFICATION OF METALS WITH USE OF AGENT-BASED EVOLUTIONARY ALGORITHM

S. Kluska-Nawarecka, A. Smolarek-Grzyb, A. Byrski, D. Wilk-Kołodziejczyk

Abstract


The finite elements method (FEM) is currently widely used for simulation of thermal processes.However, one of still unresolved problems remains proper selection of mathematicalmodel parameters for these processes. As far as modelling of cooling casts in forms is concerned,particular difficulties appear while estimating values of numerous coefficients suchas: heat transport coefficient between metal and form, specific heat, metal and form heatconduction coefficient, metal and form density. Coefficients mentioned above depend not onlyon materials properties but also on temperature. In the paper the idea of optimalizationof simulation method parameters based on adaptive adjustment of curve representing simulationresult and result obtained in physical experiment is presented along with the ideaof evolutionary and agent-based evolutionary optimization system designed to conduct suchoptimizations. Preliminary results obtained with use of ABAQUS system available in ACKCYFRONET and software developed at AGH-UST conclude the paper.

Keywords


numerical simulation; evolutionary algorithm; agent systems; solidification casting process; casting

Full Text:

PDF

References


Górny Z., Kluska-Nawarecka S., Kisiel-Dorohinicki M.: Mathematical and simulation models in studies of copper and aluminium alloys. The Foundry Research Institute, Kraków, 2003

Byrski A., Kisiel-Dorohinicki M., Kluska-Nawarecka S.: Evolutionary optimization of FEM simulation parameters of cooling and solidification process. KomPlasTech 2004, Kraków, 2004

Suchy J., Mochnacki B.: Modelling and simulation solidification process. PWN, Warszawa, 1993

Goldberg D. E.: Genetic Algorithms in Search, Optimization and Machine Learning. Kluwer Academic Publishers, Boston, 1989

Handzlik P., Trębacz L., Byrski A., Kisiel-Dorohinicki M.: Application of distributed genetic algorithm to optimisation of FEMsimulation parameters of solidification process. KomPlasTech 2005, Kraków, 2005

Byrski A., Kisiel-Dorohinicki M., Nawarecki E.: Agent-based evolution of neural network architecture, Applied informatics: International Symposium on Artificial Intelligence and Applications. Proceedings of the IASTED Conference, Austria,

Byrski A., Kisiel-Dorohinicki M.: Agent-based evolutionary and immunological optimization. Computational Science ICCS 2007, Springer Verlag LNCS 4487- 4490, Beijing, 2007




DOI: https://doi.org/10.7494/csci.2008.9.3.55

Refbacks

  • There are currently no refbacks.