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Dependence of the separative power of an optimised Iguassu gas centrifuge on the velocity of rotor

机译:优化的伊瓜苏气体的分离能力的依赖性   离心机转子的速度

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摘要

Purpose - The purpose of this work is to determine dependence of theseparative power of the Iguassu gas centrifuge (GC) on the velocity of therotor. Design/methodology/approach - The dependence is determined by means ofcomputer simulation of the gas flow in the GC and numerical solution of thediffusion equation for the light component of the binary mixture of uraniumisotopes. 2D axisymmetric model with the sources/sinks of the mass, angularmomentum and energy reproducing the scoops was explored for the computersimulation. Parameters of the model correspond to the parameters of theso-called Iguassu centrifuge. The separative power has been optimised inrelation to the pressure of the gas, temperature of the gas, the temperaturedrop along the rotor, power of the source of angularmomentum and energy, feedflow and geometry of the lower baffle. Findings - In the result, the optimised separative power depends only on thevelocity, length and diameter of the rotor. The dependence on the velocity isdescribed by the power law function with the power law index 2.6 whichdemonstrate stronger dependence on the velocity than it follows fromexperimental data. However, the separative power obtained with limitation onthe pressure growth with the velocity depends on the velocity on the powersimilar to 2 which well agree with the experiments. Originality/value - For the first time, the optimised separative power of theGCs have been calculated via numerical simulation of the gas flow and diffusionof the binary mixture of isotope.
机译:目的-这项工作的目的是确定伊瓜苏气体离心机(GC)的这些相对功率对转子速度的依赖性。设计/方法/方法-通过计算机模拟气相色谱中的气体流量和铀同位素二元混合物的轻组分扩散方程的数值解来确定依赖性。探索了二维的轴对称模型,该模型具有质量,角动量和产生勺的能量的源/汇,用于计算机仿真。模型的参数对应于所谓的伊瓜苏离心机的参数。相对于气体的压力,气体的温度,沿转子的温度下降,角动量源的能量和能量,下部挡板的进料流和几何形状,对分离功率进行了优化。结果-结果是,最佳分离功率仅取决于转子的速度,长度和直径。对速度的依赖性由幂律函数与幂律指数2.6来描述,该幂律函数表明对速度的依赖性比从实验数据得出的对速度的依赖性更大。然而,在压力随速度的增长而受到限制的情况下获得的分离功率取决于与2相似的功率上的速度,这与实验非常吻合。独创性/价值-首次通过气体数值模拟和同位素二元混合物扩散计算了GC的最佳分离能力。

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