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首页> 外文期刊>Combustion Science and Technology >STATISTICAL MODELING OF THE EFFECT OF RANK,TEMPERATURE, AND PARTICLE SIZE ON LOW-TEMPERATURE OXIDATION OF TURKISH COALS
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STATISTICAL MODELING OF THE EFFECT OF RANK,TEMPERATURE, AND PARTICLE SIZE ON LOW-TEMPERATURE OXIDATION OF TURKISH COALS

机译：土耳其煤低温，氧化程度，温度和颗粒尺寸影响的统计模型

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This paper aims to investigate the differences between the low-temperature oxidation behavior of some Turkish coals having different ranks by statistically analyzing the formation rates of CO_2 and CO as well as the ratio of CO/CO_2. In order to do this, oxidation experiments were performed on four Turkish coals grouped at -425 + 212, -212 +150, and -150+ 106 μrn size groups and oxidized at 40, 60, and 90℃, respectively. Then, a step-by-step multiple-regression analysis was conducted to assess the effect of rank, temperature, and particle size by determining the variation in the formation rates of CO and CO_2 as well as the ratio of CO/CO_2 over time for the data set obtained from the experiments. Regression results showed that as the rank increases the formation rates of CO and CO_2 it also increases the magnitude, and they decrease faster over time. The effect of temperature was clearly confirmed by the regression results as indicated by the temperature dummy, whereas the effect of particle size at close ranges of size groups was not clearly acquired.
机译：本文旨在通过统计分析CO_2和CO的生成速率以及CO / CO_2的比例，研究某些等级不同的土耳其煤的低温氧化行为之间的差异。为此，对四种土耳其煤进行了氧化实验，分别分组为-425 + 212，-212 +150和-150+ 106μm尺寸组，并分别在40、60和90℃氧化。然后，通过确定CO和CO_2的形成速率以及随时间变化的CO / CO_2的比例的变化，进行逐步多元回归分析以评估等级，温度和粒度的影响。从实验中获得的数据集。回归结果表明，随着等级的增加，CO和CO_2的形成速率也随之增加，并且随着时间的推移它们的下降速度更快。如温度模拟所示，回归结果清楚地证实了温度的影响，而没有清楚地获得粒度组附近范围内的粒度影响。

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