Artificial Neural Networks for Polymer Blend Rheology: A Case Study
Aminul Islam
Corresponding
University of Engineering and Technology, Lahore
Carlos Gupta
Indian Institute of Technology, Bombay
Abstract
For countries such as Bangladesh, the management of polymer blend rheology in pharmaceutical manufacturing carries substantial economic implications. Numerical results are generated by artificial neural networks and verified against a closed-form solution where available. Predictions obtained from the model agree with the experimental data to within 23%. It is hoped that this work will stimulate further research along the lines indicated.
Keywords:
polymer blend rheologyartificial neural networksreinforced concretevlsi designsoil mechanicsearthquake engineering
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