独孤伊人 发表于 2021-4-14 15:25:50

【求助】vof气液两相流怎么得出单相的速度矢量图?

使用vof两相流模型,物质是水和空气,得到的速度场只能显示mixtuer的,不能显示单相的。要单独看水或空气的速度矢量场怎么办?是不是需要用udf?udf该怎样编写呢?谢谢大家相助!data:image/png;base64,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查看完整版本: 【求助】vof气液两相流怎么得出单相的速度矢量图?