独孤伊人 发表于 2021-4-23 22:27:47

多孔介质模型的方向矢量怎么确定?

三维模型是依据坐标还是流体区域来设置?是能流的方向就是1,不能流的就是-1吗?折磨人很久了,求大佬回复。data:image/png;base64,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

独孤伊人 发表于 2021-4-23 22:31:52

多孔介质模型的方向矢量怎么确定?

三维模型是依据坐标还是流体区域来设置?是能流的方向就是1,不能流的就是-1吗?折磨人很久了,求大佬回复。

HaoBin 发表于 2021-4-29 16:53:50

我也是新手,但是从我学习过程中发现,那个方向矢量就是我们的单位坐标系的指向,且定了2个,第3个自然而然就定了。多孔介质最重要的是粘性阻力系数和惯性阻力系数,他们3个方向上要保留一个流动主方向(比不流动的方向小3个数量级即可),哪怕是各向同性。
说的错了,请大佬纠正。谢谢

HaoBin 发表于 2021-5-11 19:56:47

HaoBin 发表于 2021-4-29 16:53
我也是新手,但是从我学习过程中发现,那个方向矢量就是我们的单位坐标系的指向,且定了2个,第3个自然而然 ...

我之前试过各向同性的时候将主流方向的数量级比其他流动方向少3个数量级,这样一来有时候得到结果和想要的不一定一样
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