Solidsholdup distribution and liquid backmixing coefficients are fundamental to the scale-up design and optimization of liquid-solid magnetically stabilized reactors.
固含率分布和液相返混系数是液固磁稳定反应器放大与优化所必需的基础数据。
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A new hybrid method for prediction of solidsholdup in gas-solid circulating fluidized bed is proposed based on chaos phase reconstruction and wavelet package as well as neural networks.
The effects on solidsholdup of heat exchanger tube, bed height, static pressure drop and average solidsholdup of inlet chamber by superficial velocity were studied in different main distributors.