Prediction of jet penetration depth based on least square support vector machine

Experiments to investigate the jet penetration depth were carried out. The jet penetration depth increases with the increase of spouting gas velocity, spouting nozzle diameter and carrier gas density, but decreases with the rise of the static bed height, particle density, particle diameter and fluidized gas rate. The intelligent model to predict the jet penetration depth has been established based on least square support vector machine and adaptive mutative scale chaos optimization algorithm. The prediction performance of the intelligent model is better than empirical correlations and neural network.

Graphical AbstractExperiments to investigate the effect of the static bed height, spouting nozzle, fluidized gas rate, spouting gas velocity, particle properties and carrier gas properties on the jet penetration depth were carried out. Based on the experiments, the intelligent model for the jet penetration prediction was established, and intelligent algorithm was introduced to optimize the parameters in the model.Figure optionsDownload as PowerPoint slide