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首页> 外文期刊>Journal of Computational and Applied Mathematics >Using coordinate transformation of NavierStokes equations to solve flow in multiple helical geometries
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Using coordinate transformation of NavierStokes equations to solve flow in multiple helical geometries

机译:使用NavierStokes方程的坐标变换来求解多个螺旋几何中的流

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Recent research on small amplitude helical pipes for use as bypass grafts and arterio-venous shunts, suggests that mixing may help prevent occlusion by thrombosis. It is proposed here that joining together two helical geometries, of different helical radii, will enhance mixing, with only a small increase in pressure loss. To determine the velocity field, a coordinate transformation of the NavierStokes equations is used, which is then solved using a 2-D high-order mesh combined with a Fourier decomposition in the periodic direction. The results show that the velocity fields in each component geometry differ strongly from the corresponding solution for a single helical geometry. The results suggest that, although the mixing behaviour will be weaker than an idealised prediction indicates, it will be improved from that generated in a single helical geometry.
机译:对用作旁路移植物和动静脉分流器的小振幅螺旋管的最新研究表明,混合可以帮助防止血栓形成引起的阻塞。在此提出,将具有不同螺旋半径的两个螺旋几何形状连接在一起将增强混合,而压力损失仅增加很小的一部分。为了确定速度场,使用了NavierStokes方程的坐标变换,然后使用二维高阶网格并在周期方向上进行傅立叶分解来求解。结果表明,每个组件几何中的速度场与单个螺旋几何中的相应解都存在很大差异。结果表明,尽管混合行为将比理想化的预测结果弱,但与单个螺旋几何形状中产生的混合行为相比,混合行为将得到改善。

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