硬球—拟颗粒—软球耦合模拟及其化工应用
[Abstract]:Nano-micro flow and transfer processes exist widely in chemical engineering, such as the interface of multiphase media, multistage channels in catalyst particles, and micro-chemical systems. With the increasing requirements for precise design and control of chemical processes and equipment, it becomes more and more important to understand the mechanism of these processes. At nano-micro scale, dynamic processes are becoming more and more important. There are still many difficulties in the comprehensive experimental study, but the traditional continuum simulation method gradually fails with the increase of the system characteristic Knudsen number. At this scale, fluids show more discrete properties of molecules, so the application of various discrete particle methods has been widely valued in recent years, but there is a contradiction between the calculation speed and accuracy. The main contents of this paper are as follows: In the introduction part, the soft sphere and the hard sphere are analyzed. Some typical discrete particle simulation methods, such as sphere, quasi-particle and direct simulation Monte Carlo, and their respective advantages and disadvantages, as well as the previous work on coupling different models, are proposed in this paper. That is, the rigid soft sphere model (or its combination) is used to simulate the complex process of dense or close to the interface, while the hard sphere is simplified. The model (or its combination) simulates the gas flow and diffusion processes in thin and far-from-the-wall conditions, and provides the transition and local approximation in the hard-sphere parallel simulation by combining the advantages of both quasi-particle simulation. In Chapter 2, the coupling and parallel methods of event-driven hard-sphere simulation and time-driven quasi-particle simulation are improved. The conversion relationship between hard sphere and pseudo-particulate matter is strictly determined, and its correctness is verified in the simulation of flow and diffusion in pipe. The results show that the coupling can effectively overcome the problems of poor expansibility of hard sphere simulation and low efficiency of pseudo-particulate simulation for rarefied gas, and realize efficient and accurate large-scale parallel simulation. The non-equilibrium diffusion in nano-microporous channels and the diffusion in complex porous media show the feasibility of its practical application in micro-chemical process and catalyst development. In the third chapter, the soft sphere simulation method is deeply studied from two aspects of algorithm improvement and parallel optimization, and the multi-shell neighbor list algorithm about particle search is innovatively put forward.The algorithm effectively improves the search efficiency by simply predicting the possibility of particles crossing each shell.On this basis, the multi-threading and direction of soft sphere simulation are developed. Based on the above work, Chapter 4 finally realizes the coupling of soft-sphere, hard-sphere and quasi-granular simulation. The paper derives the parameter transformation relationship between soft-sphere and quasi-granular model, and proposes to adopt the method. A general connection model between different regions can be used to construct arbitrarily complex interfaces while maintaining the quasi-particle transition layer outside the soft sphere. Simple geometry and fixed particle boundary conditions are also established for the coupling simulation, which improves the practicability of the method. In the fifth chapter, the effect of interface structure on diffusion and reaction process in gas-solid interface reaction is studied by using the coupling simulation method. It is found that the interface structure exists most under given reaction conditions due to the different ways in which diffusion and reaction process interact under different conditions. By establishing a more realistic and detailed model of reactants and interfaces, the coupling method is expected to provide a mechanism analysis and optimization tool, such as the design of catalyst pore structure.
【学位授予单位】:中国科学院研究生院(过程工程研究所)
【学位级别】:博士
【学位授予年份】:2016
【分类号】:TQ021
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