Application of Particle Swarm Optimisation to Evaluation of Polymer Cure Kinetics Models
| Autor: | M. Ferenets, James E. Morris, A. Krumme, Pushparajah Rajaguru, Chris Bailey, Tim Tilford, S.K. Pavuluri, Marc P.Y. Desmulliez |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
chemistry.chemical_classification
business.industry Computer science lcsh:T57-57.97 lcsh:Mathematics Kinetics ComputingMethodologies_MISCELLANEOUS Experimental data Thermosetting polymer Particle swarm optimization Polymer Numerical models lcsh:QA1-939 chemistry lcsh:Applied mathematics. Quantitative methods Microelectronics Optimisation algorithm business Biological system Simulation |
| Zdroj: | Journal of Algorithms & Computational Technology, Vol 4 (2010) |
| ISSN: | 1748-3026 1748-3018 |
| Popis: | A particle swarm optimisation approach is used to determine the accuracy and experimental relevance of six disparate cure kinetics models. The cure processes of two commercially available thermosetting polymer materials utilised in microelectronics manufacturing applications have been studied using a differential scanning calorimetry system. Numerical models have been fitted to the experimental data using a particle swarm optimisation algorithm which enables the ultimate accuracy of each of the models to be determined. The particle swarm optimisation approach to model fitting proves to be relatively rapid and effective in determining the optimal coefficient set for the cure kinetics models. Results indicate that the singlestep autocatalytic model is able to represent the curing process more accurately than more complex model, with ultimate accuracy likely to be limited by inaccuracies in the processing of the experimental data. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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