Solids holdup 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。
A new hybrid method for prediction of solids holdup in gas-solid circulating fluidized bed is proposed based on chaos phase reconstruction and wavelet package as well as neural networks.
提出了一种将混沌的相空间重构、小波包分析和神经网络相结合的新方法用于预测气-固循环流化床的颗粒浓度。
The effects on solids holdup of heat exchanger tube, bed height, static pressure drop and average solids holdup of inlet chamber by superficial velocity were studied in different main distributors.
在不同结构形式的主分布器条件下，研究了表观液速对换热管中固含率、下管箱内床层高度、静压降及平均固含率的影响。
The effects on solids holdup of heat exchanger tube, bed height, static pressure drop and average solids holdup of inlet chamber by superficial velocity were studied in different main distributors.
在不同结构形式的主分布器条件下，研究了表观液速对换热管中固含率、下管箱内床层高度、静压降及平均固含率的影响。
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