首页> 外文会议>ASME(American Society of Mechanical Engineers)/JSME(Japanese Society of Mechanical Engineers) Thermal Engineering Summer Heat Transfer Conference 2007 >INVESTIGATION OF APPROXIMATE DIFFUSION MODELS FOR THE PREDICTION OF HETEROGENEOUS COMBUSTION IN MONOLITH TUBES
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INVESTIGATION OF APPROXIMATE DIFFUSION MODELS FOR THE PREDICTION OF HETEROGENEOUS COMBUSTION IN MONOLITH TUBES

机译:预测莫诺里斯管异质燃烧的近似扩散模型的研究

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In the case of heterogeneous reactions, diffusion is the only mechanism, locally, of transport of species to and from a surface. Thus, accurate prediction of diffusive transport is a prerequisite for accurate prediction of the operation of devices in which heterogeneous reactions occur. Three different diffusion models are examined from the standpoint of both accuracy and efficiency. Two of these models, namely the Dilute Approximation (DA) model and the Schmidt Number (SN) model, are approximate models, and are compared against a rigorous Multi-Component Diffusion (MCD) model derived from the Stefan-Maxwell equation. Both hydrogen-air and methane-air combustion in a monolith channel are studied. Inlet equivalence ratio, Reynolds number (flow rate), and wall temperature are considered as parameters. The results show that both the DA model and the SN model are accurate within 2% irrespective of the equivalence ratio or fuel-the worst accuracy being for hydrogen combustion. The DA model and the SN model produce almost identical results. In comparison to the MCD model, the DA model is approximately twice as computationally efficient, while the SN model is 3-4 times more efficient. The accuracy and efficiency of the SN model, in conjunction with its simplicity, makes it an attractive choice for the treatment of diffusion in catalytic combustion calculations.
机译:在异质反应的情况下,局部扩散是物种向表面和从表面运输的唯一机制。因此,对扩散传输的准确预测是对发生异种反应的装置的操作进行准确预测的前提。从准确性和效率的角度研究了三种不同的扩散模型。这些模型中的两个,即稀疏近似(DA)模型和Schmidt数(SN)模型,是近似模型,并与从Stefan-Maxwell方程派生的严格的多组分扩散(MCD)模型进行了比较。研究了整体通道中的氢-空气和甲烷-空气燃烧。入口当量比,雷诺数(流速)和壁温均视为参数。结果表明,无论当量比还是燃料,DA模型和SN模型的精度都在2%以内-最差的精度是氢燃烧。 DA模型和SN模型产生几乎相同的结果。与MCD模型相比,DA模型的计算效率大约是其两倍,而SN模型的计算效率是其3-4倍。 SN模型的准确性和效率,加上其简单性,使其成为催化燃烧计算中扩散处理的有吸引力的选择。

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