Support vector machine (SVM) modeling approach is applied to predict the solids holdups distribution of a liquid-solid circulating fluidized bed (LSCFB) riser. The SVM model is developed/trained using experimental data collected from a pilot-scale LSCFB reactor. Two different size glass bead particles (500 μm (GB-500) and 1,290 μm (GB-1290)) are used as solid phase, and water is used as liquid phase. The trained model successfully predicted the experimental solids holdups of the LSCFB riser under different operating parameters. It is observed that the model predicted cross-sectional average of solids holdups in the axial directions and radial flow structure are well agreement with the experimental values. The goodness of the model prediction is verified by using different statistical performance indicators. For the both sizes of particles, the mean absolute error is found to be less than 5%. The correlation coefficients (0.998 for GB-500 and 0.994 for GB-1290) also show favorable indications of the suitability of SVM approach in predicting the solids holdup of the LSCFB system.
|Number of pages||12|
|Journal||International Journal of Chemical Reactor Engineering|
|State||Published - 1 Jan 2014|
Bibliographical noteFunding Information:
Acknowledgments: The authors would like to gratefully acknowledge the support provided by King Abdulaziz City for Science and Technology (KACST) through the Science & Technology Unit at King Fahd University of Petroleum & Minerals for funding this work through project no. KACST # T-K-11-0431. The author also gratefully acknowledges the contributions of Powder Technology Research Center and University of Western Ontario for the experimental part of this work.
© 2014 by De Gruyter 2014.
- normalized superficial liquid velocity
- solids holdups
- support vector machine
- terminal settling velocity
ASJC Scopus subject areas
- Chemical Engineering (all)