Prediction of Pressure Drop of Coke Water Slurry Flowing in Pipeline by PSO-BP Neural Network

Experimental researches were carried out on a small-scale slurry transportation system to investigate resistance properties of coke water slurry flowing in pipes with four different diameters.There exists wall slip behavior when coke water slurry flows in the pipes,which could cause drag reduction.Therefore,it is necessary to correct wall slip behavior to predict pressure drop of coke water slurry.An artificial neural networks improved by PSO(particle swarm optimization) with five parameters in input layer was constructed to predict the pressure drop of coke water slurry flowing in the pipeline.Then pressure drop was predicted by artificial neural network and results were compared with the experimental value.The results show that PSO-BP artificial neural network has a good ability in predicting the pressure drop of coke water slurry flowing in the pipe.The error between the predicted value and experimental value is small and the largest error is no more than 10%.