Statistical Simulation of Thin-Film Bearings

The information preservation (IP) method and the direct simulation Monte Carlo (DSMC) method are used to simulate the gas flows between the write/read head and the platter of the disk drive (the slider bearing problem). The results of both methods are in good agreement with numerical solution of the Reynolds equation in the cases studied. However, the DSMC method owing to the problem of large sample size demand and the difficulty in regulating boundary conditions at the inlet and outlet was able to simulate only short bearings, while IP simulates the bearing of authentic length ~1000 m ? and can provide more detailed flow information.

IP Simulation of Micro Gas Flows under 3-D Head Sliders

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.

跨大气层飞行器姿态控制相关三维稀薄气体流动的Monte Carlo模拟

本文利用直接模拟Monte Carlo位置元(DSMC-PE)方案模拟了跨大气层飞行器姿态控制相关的两个典型的稀薄气体流动,真空轴对称射流冲击平板和楔形垂直相交平板稀薄气体绕流。真空轴对称射流在附近平板表面的压力、剪应力和热流分布的计算结果,与Legge(1991)和D(?)ring(1990)的测量数据一致;楔形垂直相交平板表面压力分布计算结果,与Allegre和Raffin(1992)实验数据的比较,也令人满意。上述计算表明,DSMC-PE是处理航天领域稀薄气流的有力工具。

Simulación de sistemas Multi-Agente mediante un esquema Monte Carlo basado en ecuaciones diferenciales ordinarias

[ES] En este trabajo se expone una metodología para modelar un sistema Multi-Agente (SMA), para que sea equivalente a un sistema de Ecuaciones Diferenciales Ordinarias (EDO), mediante un esquema basado en el método de Monte Carlo. Se muestra que el SMA puede describir con mayor riqueza modelos de sistemas dinámicos con variables cuantificadas discretas. Estos sistemas son muy acordes con los sistemas biológicos y fisiológicos, como el modelado de poblaciones o el modelado de enfermedades epidemiológicas, que en su mayoría se modelan con ecuaciones diferenciales. Los autores piensan que las ecuaciones diferenciales no son lo suficientemente apropiadas para modelar este tipo de problemas y proponen que se modelen con una técnica basada en agentes. Se plantea un caso basado en un modelo matemático de Leucemia Mieloide Crónica (LMC) que se transforma en un SMA equivalente. Se realiza una simulación de los dos modelos (SMA y EDO) y se compara los resultados obtenidos.