首页> 外文期刊>Vacuum: Technology Applications & Ion Physics: The International Journal & Abstracting Service for Vacuum Science & Technology >Improved model for transmission probabilities of edge-welded bellows based on TPMC simulations
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Improved model for transmission probabilities of edge-welded bellows based on TPMC simulations

机译:基于TPMC仿真的边缘焊接波纹管传输概率改进模型

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摘要

Many complex vacuum systems include edge-welded bellows. Their simulation in the molecular flow regime with a Test Particle Monte Carlo (TPMC) code, such as mol Flow+, can take considerable amounts of computing power and time. Therefore we investigated the change of the transmission probability of a bellow compared to a cylindrical tube in TPMC simulations. The results were used to develop an empirical model to simplify the geometry of a bellow in a TPMC model by replacing it with a cylindrical tube of extended length, consequently compensating the reduced conductance of the bellow. The simulated transmission probabilities of a variety of different bellow lengths have been used to fit the parameters of the model. Each bellow geometry simulated with MolFlow + comprised two cylindrical tubes, one at each end, and the central bellow section. The geometry of each bellow is described by two quantities. The first one is the total length of the geometry model normalized to the inner diameter of the bellow. The second one is the fraction of the bellow section with regard to the total length. Simulating a tube instead of a long bellow reduced the simulation time by a factor of up to 1000, while the error introduced through the replacement of the bellow with a cylindrical tube of modified length was in most cases negligible.
机译:许多复杂的真空系统包括边缘焊接波纹管。它们在具有测试粒子蒙特卡罗(TPMC)代码的分子流动制度中的模拟,例如Mol流+,可以采用相当大量的计算功率和时间。因此,我们研究了与TPMC仿真中的圆柱形管相比偏相的变频概率的变化。结果用于开发经验模型,以通过用延长长度的圆柱形管替换TPMC模型中的光泽的几何形状,从而补偿光泽的降低的导电。已经使用了各种不同光泽长度的模拟传输概率来符合模型的参数。每个波纹管几何形状用摩尔流+模拟,包括两个圆柱形管,每个端部,一个圆柱形管,以及中央光泽部分。每个波纹管的几何形状由两种数量描述。第一个是归一化到光泽的内径的几何模型的总长度。第二个是在总长度方面的光泽部分的分数。模拟管代替长尖头将模拟时间减少了多达1000的因子,而通过替换具有圆柱形管的圆柱形的磁头引入的误差在大多数情况下是可忽略的。

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