Resistance properties prediction for horizontal branch pipe in pneumatic conveying

The experiment for pneumatic conveying sands in average particle diameter of 0.25 mm and 0.5 mm was carried out by using compressed air in horizontal tee branch pipe.The respective resistance properties for branch pipe were investigated through experiments and GRNN neural network when both conveying velocity and the flow valve opening of branch pipe were changed.It shows that the respective resistance properties of branch pipe have some obvious changes with the decrease of apparent air velocity and the increase of the differential value for flow valve opening of branch pipe.Through the comparison between the neural networks simulated results and the experimental data,it shows that the simulated value agrees well with the experimental data.This illuminates that the GRNN network has a better adjustability to the simulation and prediction of the resistance properties for horizontal branch pipe.