Model-based Analysis of Diffusion Experiments in Binary Gas Mixtures in a Loschmidt Cell

洛施密特池中二元气体混合物扩散实验的基于模型的分析

• 批准号: 317678168
• 负责人: Professor Dr.-Ing. André Bardow
• 金额: --
• 依托单位: Eidgenössische Technische Hochschule Zürich (ETH)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2016-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/317678168?language=en
• 关键词: Model; based; Analysis; Diffusion; Experiments

The research project aims at the identification of concentration-dependent binary diffusion coefficients in gases from a single experiment. The measurement database is provided by already existing as well as newly to be determined experimental data from the group of Prof. Fröba (Erlangen Graduate School in Advanced Optical Technologies). Measurements are performed in a Loschmidt cell combined with a holographic interferometer. The present project focuses on the data analysis procedure. Previously, data analysis was based on Fick's second law. Therefore, it could not account for the required concentration dependence of the diffusion coefficient and interaction effects in the gas mixture.To improve the data analysis procedure, a consistent model describing diffusion in the Loschmidt cell will be developed in the group of Prof. Bardow (Chair of Technical Thermodynamics, RWTH Aachen University). The model should include concentration dependencies, excess effects, and (if needed) sorption and gravity effects. Particular attention should be given to the suitable choice of reference frame. An output-least-squares-method will allow to include all measurement data at once and lead to the statically optimal diffusion coefficients. The analysis of the residuals offers the potential to reveal the needs for improvements in model and experiment. This procedure is promising because of the excellent database and because a similar analysis has already been successfully applied to diffusion in liquids. The model-based procedure developed in this project will provide access to unique data on the concentration dependence of diffusion in gas mixtures.

该研究项目旨在通过单次实验识别气体中与浓度相关的二元扩散系数。测量数据库由 Fröba 教授（埃尔兰根研究生院）小组的现有数据和新近通过实验确定的数据提供。先进光学技术）。目前的项目侧重于数据分析程序，因此无法解释菲克第二定律。气体混合物中扩散系数和相互作用效应所需的依赖性。为了提高数据分析程序的浓度，巴多教授（亚琛工业大学技术热力学主席）团队将开发一个描述洛施密特池中扩散的一致模型该模型应包括浓度依赖性、过量效应以及（如果需要）吸附和重力效应，应特别注意参考系的适当选择。一次性分析所有测量数据并得出静态最佳扩散系数。残差分析有可能揭示模型和实验的改进需求，因为该过程具有出色的数据库并且已经进行了类似的分析。该项目开发的基于模型的程序将成功应用于液体中的扩散，将提供有关气体混合物中扩散的浓度依赖性的独特数据。

项目成果

Concentration-Dependent Diffusion Coefficients of Binary Gas Mixtures Using a Loschmidt Cell with Holographic Interferometry

使用带有全息干涉测量的洛施密特池计算二元气体混合物的浓度依赖性扩散系数

• DOI: 10.1007/s10765-018-2450-8
• 发表时间: 2018-10-10
• 期刊: International Journal of Thermophysics
• 影响因子: 2.2
• 作者: Ludger Wolff;Pouria Zangi;Thorsten Br;s;s;M. Rausch;H. Koß;A. Fröba;A. Bardow
• 通讯作者: A. Bardow