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A mathematical model of R_(70) self-heating test for the propensity of coal spontaneous combustion

机译:煤炭自燃倾向的R_(70)自热试验的数学模型

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The R_(70) self-heating test has been used as one of the major laboratory methods for testing the intrinsic properties of coal that influences its propensity for spontaneous combustion. The R_(70) test is conducted in an artificially created adiabatic environment so that only and all the heat generated by the coal sample is used to prompt the oxidation process and to increase the temperature of the sample. The key to create such an artificial adiabatic testing environment is to eliminate any heat exchange between the coal sample in the testing container and the outside environment through a precise temperature control. Even a minor of amount of heat exchange in the testing duration could produce unreliable testing results, especially for the coals having low propensity.Based on the law of energy conservation, a mathematical model has been developed to quantify the effects of any imperfection of the testing adiabatic environment on the testing results for a R_(70) self-heating test setup and the testing procedure. The model considers the heat losses and gains caused by coal moisture, inlet oxygen flow and exhaust air, conduction and convection between coal and outside, and heat diffusion in the sample. The mathematical model can be applied to correct the testing results in terms of the heat generation rate at a given temperature cause by the system imperfection. Coupled with the experimentally determined parameters such as the specific heat of coal, heating value of various combustibles in the coal, etc. the accuracy of the R_(70) methods could be greatly improved. The mathematical model also allows the determination of heating value, activation energy and pre-exponential factor from the experiment-generated temperature development curves.
机译:R_(70)自加热试验已被用作测试影响其自发燃烧倾向的煤的内在性质的主要实验方法之一。 R_(70)测试在人工产生的绝热环境中进行,因此仅使用煤样的所有热量用于提示氧化过程并增加样品的温度。创造这种人工绝热测试环境的关键是通过精确的温度控制消除测试容器中的煤样和外部环境之间的任何热交换。甚至在测试持续时间内的少量热交换也可能产生不可靠的测试结果,特别是对于具有低倾向的煤炭。基于节能定律,已经开发了一种数学模型来量化测试的任何不完美的影响关于R_(70)自加热测试设置和测试程序的测试结果的绝热环境。该模型考虑了煤水分,入口氧气流量和废气,煤与外部的排气,传导和对流引起的热损失和增益,以及样品中的热扩散。可以应用数学模型以通过系统缺陷校对给定温度原因的发热速率来校正测试结果。与实验确定的参数相结合,例如煤的比热,煤中各种可燃物的加热值等。R_(70)方法的准确性可以大大提高。数学模型还允许确定从实验产生的温度开发曲线中确定加热值,激活能量和预指数因子。

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