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Optimizing Method of Particle Number in Grid Cell in Numerical Simulation of Rare Air Flow

A grid unit and numerical simulation technology, applied in design optimization/simulation, etc., can solve problems such as long simulation time, inaccurate simulation results, and low efficiency, and achieve the effect of improving simulation accuracy and simulation efficiency

Active Publication Date: 2020-07-14
上海索辰信息科技股份有限公司
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Problems solved by technology

As mentioned, this will make the simulation long and inefficient
Conversely, depending on the physics problem, if this number is too small, simulation results may be inaccurate due to the inability to solve for collisions in each simulated cell

Method used

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  • Optimizing Method of Particle Number in Grid Cell in Numerical Simulation of Rare Air Flow
  • Optimizing Method of Particle Number in Grid Cell in Numerical Simulation of Rare Air Flow
  • Optimizing Method of Particle Number in Grid Cell in Numerical Simulation of Rare Air Flow

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Embodiment Construction

[0041] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0042] This embodiment provides a method for optimizing the number of particles in grid cells in numerical simulation of rarefied airflow, which includes the following steps:

[0043]In the numerical simulation of rarefied airflow using DSMC, the relationship between the number of simulated particles in any grid unit and a set range (for exam...

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Abstract

The present invention relates to a method for optimizing the particle number of a grid unit in the numerical simulation of a rarefied air flow, comprising: using DSMC to perform numerical simulation of the rarefied air flow, judging whether the number of simulated particles in any grid unit is within a set range, if the simulated If the number of particles is within the set range, there is no need to optimize the number of particles in the grid unit; if the number of simulated particles exceeds the upper limit of the set range, the particle fusion operation will be repeatedly performed according to the particle fusion criterion, so that each grid unit The number of simulated particles in the medium is within the set range; if the number of simulated particles is lower than the lower limit of the set range, the particle separation operation will be repeatedly performed according to the particle separation criterion, so that the number of simulated particles in each grid unit is within the set range. within range. Control the number of particles in each grid unit in the simulation domain, so that the number of simulated particles in each grid unit does not change greatly with the unit density and unit size, and balance the distribution of simulated particles on different grid units.

Description

technical field [0001] The invention relates to the technical field of rarefied airflow numerical simulation, in particular to a method for optimizing the particle number of a grid unit in the rarefied airflow numerical simulation. Background technique [0002] Due to the failure of the continuum assumption of the N-S equation in the region of rarefied gas flow, the direct Monte Carlo simulation method (DSMC) method for numerical simulation of rarefied gas flow has attracted more and more attention in recent years. [0003] DSMC is a probabilistic discrete particle simulation method. The DSMC method uses a small number of simulated particles in the computer to represent a large number of real gas molecules, and the space coordinates, speed, and internal energy of the simulated particles are stored in the computer, and change with time due to particle movement, collision, and interaction with the boundary. Particle sampling restores the molecular velocity distribution functi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20
Inventor 赵杰陈灏蒋光南
Owner 上海索辰信息科技股份有限公司
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