Intelligent Modelling of the Real Dynamic Viscosity of Rubber Blends Using Parallel Computing.

ABSTRACT: Modelling the flow properties of rubber blends makes it possible to predict their rheological behaviour during the processing and production of rubber-based products. As the nonlinear nature of such complex processes complicates the creation of exact analytical models, it is appropriate to use artificial intelligence tools in this modelling. The present study was implemented to develop a highly efficient artificial neural network model, optimised using a novel training algorithm with fast parallel computing to predict the results of rheological tests of rubber blends performed under different conditions. A series of 120 real dynamic viscosity-time curves, acquired by a rubber process analyser for styrene-butadiene rubber blends with varying carbon black contents vulcanised at different tem

SUBMITTER: Kopal I 

PROVIDER: S-EPMC10490080 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature