China Plastics ›› 2018, Vol. 32 ›› Issue (08): 94-104.DOI: 10.19491/j.issn.1001-9278.2018.08.016

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Study on Application of Genetic Algorithm in Parameters Fitting of Dynamic Viscoelastic Model

  

  • Received:2018-01-09 Revised:2018-02-08 Online:2018-08-26 Published:2018-09-26

Abstract: To study the effect of the elastic deformation of polymeric materials on the deformation of microstructured products, a computational simulation was conducted to investigate the hot rolling press of a TOPAS-COC polymer. Moreover, based on the data fitting of the viscoelastic generalized-Maxwell model for the TOPAS-COC polymers, an improved genetic algorithm was proposed. By comparing the genetic algorithm and least-squares fitting results, it was found that the improved genetic algorithm was superior to the least-square method to accurately obtain model parameters of dynamic viscoelastic model. In addition, the principle of translation was used to obtain the master curve at a reference temperature, and the model parameters were input into Abaqus finite element software for simulation. The effects of the process parameters were analyzed on the basis of orthogonal experimental design, and the results indicated that the elastic recovery of the microstructure due to the elastic deformation could be reduced by improving temperature or reducing the preloading amount and rolling speed decreases with higher temperature, lower preload amount and the rolling speed.