With increase of mass flow rate, solid-gas ratio increases first and then decreases.

随着煤粉的输送流量的增大，固气比先增大后减小。

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Cell model is employed to set up the mass balance of 8 gas components, solid flow, carbon flow and total energy balance.

建模采用“小室模型”方法，将气化炉分为多段，分别建立8种气体成分、固体和碳质量平衡以及总体能量平衡。

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The result shows improved BP neural network can successfully forecast solid mass rate under different experimental conditions and solid mass rate contour diagram at different gas flow is plotted.

结果表明，BP网络能对不同实验条件下的固体质量流率进行较好的预测。

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