基于分子弛豫模型的混合气体多物理场二维重建算法  

An Algorithm for Multi-physics Field Reconstruction Based on Molecular Relaxation Model of Mixtures

作　　者：刘岩[1] 刘石[1] 雷兢[1] Schlaberg H I 

机构地区：[1]华北电力大学新能源电力系统国家重点实验室,北京102206

出　　处：《计算物理》2014年第1期67-74,共8页Chinese Journal of Computational Physics

基　　金：国家自然科学基金重点项目(50736002;61072005);长江学者和创新团队发展计划项目(IRT0952)资助

摘　　要：基于气体分子弛豫模型,研究声波传播的弛豫吸收与混合气体浓度及温度的关系,以CO-N2-O2混合气体为例,分别建立声速和声弛豫吸收同混合气体温度、浓度关系的三维模型.提出一种在二维空间中同时重建混合气体的温度场、浓度场和流场的算法,并对混合气体多物理场进行仿真重建.数值实验证明了算法的可靠性及实际应用的可行性,并可以将此算法应用到其它混合气体的测量,为混合气体的复杂多物理场测量提供了一种新的有效测量方法.We investigate relaxation absorption of ultrasound and speed of sound dependence on temperature and constituent concentration of gas mixture. Two three-dimensional models, one based on molecular relaxation model and the other on sound velocity, are established for a sample consisting of carbon monoxide, nitrogen and oxygen. An algorithm is developed to reconstruct simultaneously temperature field, concentration field and flow of the mixture in sensing domain. Numerical simulation shows that the algorithm is feasible and applicable to measurement of complicated muhi-physics fields. Errors arising in simulation are discussed. It is possible to use the algorithm for other component mixtures.

关 键 词：弛豫声吸收 多物理场重建 浓度测量 温度场测量 流场测量 

分 类 号：TK31[动力工程及工程热物理—热能工程]