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首页> 外文期刊>Journal of Thermodynamics >IGE Model: An Extension of the Ideal Gas Model to Include Chemical Composition as Part of the Equilibrium State
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IGE Model: An Extension of the Ideal Gas Model to Include Chemical Composition as Part of the Equilibrium State

机译:IGE模型:理想气体模型的扩展,包括化学成分作为平衡态的一部分

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摘要

The ideal gas (IG) model is probably the most well-known gas models in engineering thermodynamics. In this paper, we extend the IG model into an ideal gas equilibrium (IGE model) mixture model by incorporating chemical equilibrium calculations as part of the state evaluation. Through a simple graphical interface, users can set the atomic composition of a gas mixture. We have integrated this model into a thermodynamic web portal TEST (http://thermofluids.sdsu.edu/) that contains Java applets for various models for properties of pure substances. In the state panel of the IGE model, the known thermodynamic properties are entered. For a given pressure and temperature, the mixture's Gibbs function is minimized subject to atomic constraints and the equilibrium composition along with thermodynamic properties of the mixture are calculated and displayed. What is unique about this approach is that equilibrium computations are performed in the background, without requiring any major change in the familiar user interface used in other state daemons. Properties calculated by this equilibrium state daemon are compared with results from other established applications such as NASA CEA and STANJAN. Also, two different algorithms, an iterative approach and a direct approach based on minimizing different thermodynamic functions in different situation, are compared.
机译:理想气体(IG)模型可能是工程热力学中最著名的气体模型。在本文中,通过将化学平衡计算作为状态评估的一部分,我们将IG模型扩展为理想气体平衡(IGE模型)混合模型。通过简单的图形界面,用户可以设置气体混合物的原子组成。我们已将此模型集成到热力学门户网站TEST(http://thermofluids.sdsu.edu/)中,该门户网站包含用于纯物质性质的各种模型的Java小程序。在IGE模型的状态面板中,输入已知的热力学性质。对于给定的压力和温度,混合物的吉布斯函数在受到原子约束的情况下会最小化,并且会计算和显示混合物的平衡组成以及热力学性质。这种方法的独特之处在于,平衡计算是在后台执行的,而无需对其他状态守护程序中使用的熟悉的用户界面进行任何重大更改。将此平衡状态守护程序计算出的属性与其他已建立应用程序(例如NASA CEA和STANJAN)的结果进行比较。此外,还比较了两种不同的算法,分别是在不同情况下基于最小化不同热力学函数的迭代方法和直接方法。

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