煤灰流动温度的预测研究

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Abstract

The prediction model of coal ash flow temperature was established by using regression analysis method and Factsage software method, the results were compared with three typical empirical formulas. The results showed that this was better than that of typical empirical formula, the prediction formula which was set up by using the least square method had best effect. Probability within error of 50℃ and 80℃ were 88.6 % and 95.5 % respectively. Correlation coefficient of ash flow temperature prediction formula used by Factsage software was 0.86, which had a certain universality and accuracy for predicting the coal ash flow temperature.

Key words： coal ash flow temperature prediction model Factsage software method

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	Articles by authors
	Liu Shuo
	Zhou Anning
	Yang Fusheng
	Wang Hao

Cite this article:

Liu Shuo,Zhou Anning,Yang Fusheng等. Study on prediction of coal ash flow temperature[J]. CCI, 2017, 40(3): 20-24.

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http://www.mtyhg.com.cn/EN/ OR http://www.mtyhg.com.cn/EN/Y2017/V40/I3/20

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