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Prediction of Fire Growth on Furniture Using CFD

机译:使用CFD预测家具的火灾成长

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The problem of fire growth prediction differs from other forms of combustion modeling (furnaces, engines, power generation etc.) in the prior knowledge about fuel supply. For most combustion situations, the fuel composition and flow rate is known, simplifying input for the numerical modeler. When a user specifies the source for combustion, a deterministic fire model principally functions to predict the energy and fluid flow through the domain resulting from the source. For these problems, a user-specified mass rate of fuel is appropriate. contrast this to the compartment fire growth problem where the heat feedback from the fire itself controls the rate of fuel generation, the composition of which is not well defined or known in advance. As a result, when one wants to model fires inside compartments, a user specified source term for pyrolysis is often a poor assumption. A better approach is to use the model to calculate the source terms based on surface pyrolysis rates that are a function of the local environment. compartment conditions therefore control the fire growth.
机译:在燃料供应的先前知识中,火灾生长预测的问题与其他形式的燃烧建模(熔炉,发动机,发电等)不同。对于大多数燃烧情况,燃料组合物和流速是已知的,简化了数值建模器的输入。当用户指定燃烧源时,确定性的火模型主要用于预测通过源引起的域的能量和流体流动。对于这些问题,用户指定的质量燃料率是合适的。将其对比,该舱室火灾生长问题,其中来自火灾本身的热反馈控制燃料产生的速率,其组成是预先定义或已知的。结果,当一个人想要在室内射击时,热解的用户指定的源术语通常是一个差的假设。更好的方法是使用该模型基于局部环境的表面热解率来计算源术语。因此,隔室条件控制着火增长。

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