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Numerical quenchback in thermofluid simulations of superconducting magnets

机译:超导磁体热流体模拟中的数值淬火

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One of the most important thermofluid processes encountered in internally cooled superconducting magnets is that of quenching. Numerical simulation of the quench propagation involves accurately modelling a moving boundary layer at the quench front. Due to the highly non-linear nature of the quench process, slightest numerical errors can rapidly grow to unacceptable limits. The quench propagation in such a non-converged solution exhibits a very rapid propagation velocity which resembles a 'quenchback' effect. Hence, the term 'Numerical Quenchback' is used to characterize a numerically unstable solution of the governing quench model. This paper presents the underlying physical phenomena that causes a numerical discretization scheme to have error terms that increase exponentially with time, causing the numerical quenchback effect. Specifically, by analytically solving the equivalent differential equation of the numerical scheme, we are able to obtain closed-form relations for the error terms associated with the propagation velocity. This allows us to define error criteria on the space and time steps used in the simulation. The reliability of the error criteria is proven by detailed convergence studies of the quench process.
机译:内部冷却的超导磁体中遇到的最重要的热流体过程之一是淬火过程。淬火传播的数值模拟涉及在淬火前沿精确建模移动边界层。由于淬火过程的高度非线性特性,最小的数值误差可能会迅速增长到无法接受的极限。在这种非收敛解中的猝灭传播表现出非常快的传播速度,类似于“回火”效应。因此,术语“数字猝灭”用于表征控制淬火模型的数值不稳定解。本文介绍了导致数值离散化方案具有误差项的基本物理现象,这些误差项随时间呈指数增长,从而引起数值骤冷效应。具体而言,通过解析求解数值方案的等效微分方程,我们能够获得与传播速度相关的误差项的封闭形式关系。这使我们可以在模拟中使用的空间和时间步长上定义错误标准。错误标准的可靠性已通过淬火过程的详细收敛研究得到证明。

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