1000 resultados para Gas condensates


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In this paper, an AC plasma arc reactorwithworkinggasofhydrogen is applied to destruct chemicalagents. The temperature attains 6000℃ in the arc area and over 2000℃ in the other space of the crucible. The Arsenic (As) contained chemical agent -Adams (DM) used in the experiment, was added into the plasmareactorwith the additives: Fe, CaO, and SiO_2, etc. Pyrolysis and destructionofchemicalagents occurs very quickly in the high-temperature reactor. Gaseous hydrogen was injected into the reactor to form a reductive environment, to reduce the formation of As_2O_3 etc. In the bottom of the crucible, the solid residues of toxicant and additives were melted and formed as vitrified slag. The off-gas was treated by a wet scrubber. The amounts of arsenic distributed in the off-gas, vitrified slag, waste water and solids (soot) were measured. The result shows DM is completely destructed in the plasmareactor. The Arsenic content in the off-gas, vitrified slag, waste water and soot are 0.052 mg/l, 3.0%, 10.44 mg/l, and 5.1% respectively, which will be disposed as the pollutant matters. The results show that the plasma technology is an environmentally friendly technology to destruct chemicals.

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An information preservation (IP) method has been used to simulate many micro scale gas flows. It may efficiently reduce the statistical scatter inherent in conventional particle approaches such as the direct simulation Monte Carlo (DSMC) method. This paper reviews applications of IP to some benchmark problems. Comparison of the IP results with those given by experiment, DSMC, and the linearized Boltzmann equation, as well as the Navier-Stokes equations with a slip boundary condition, and the lattice Boltzmann equation, shows that the IP method is applicable to micro scale gas flows over the entire flow regime from continuum to free molecular.

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Gas film lubrication of a three-dimensional flat read-write head slider is calculated using the information preservation (IP) method and the direct simulation Monte Carlo (DSMC) method, respectively. The pressure distributions on the head slider surface at different velocities and flying heights obtained by the two methods are in excellent agreement. IP method is also employed to deal with head slider with three-dimensional complex configuration. The pressure distribution on the head slider surface and the net lifting force obtained by the IP method also agree well with those of DSMC method. Much less (of the order about 10(2) less) computational time (the sum of the time used to reach a steady stage and the time used in sampling process) is needed by the IP method than the DSMC method and such an advantage is more remarkable as the gas velocity decreases.

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This book elucidates the methods of molecular gas dynamics or rarefied gas dynamics which treat the problems of gas flows when the discrete molecular effects of the gas prevail under the circumstances of low density, the emphases being stressed on the basis of the methods, the direct simulation Monte Carlo method applied to the simulation of non-equilibrium effects and the frontier subjects related to low speed microscale rarefied gas flows. It provides a solid basis for the study of molecular gas dynamics for senior students and graduates in the aerospace and mechanical engineering departments of universities and colleges. It gives a general acquaintance of modern developments of rarefied gas dynamics in various regimes and leads to the frontier topics of non-equilibrium rarefied gas dynamics and low speed microscale gas dynamics. It will be also of benefit to the scientific and technical researchers engaged in aerospace high altitude aerodynamic force and heating design and in the research on gas flow in MEMS

  • 目次内容                                                                
[1]  Molecular structure and energy states (21)  
 
[2]  Some basic concepts of kinetic theory (51)  
 
[3]  Interaction of molecules with solid surface (131)  
 
[4]  Free molecular flow (159)  
 
[5]  Continuum models (191)  
 
[6]  Transitional regime (231)  
 
[7]  Direct simulation Monte-Carlo (DSMC) method (275)  
 
[8]  Microscale slow gas flows, information preservation method (317)  
 
[App. I]  Gas properties (367)  
 
[App. II]  Some integrals (369)  
 
[App. III]  Sampling from a prescribed distribution (375)  
 
[App. IV]  Program of the couette flow (383)  
 
Subject Index (399)  

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