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  • 0 赞同
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    Y

    已经解决。
    (在一个视频中提到这一点)网格统计问题有三种情况:
    第一种,是显示问题的网格数目很少,就几个,占总体的0.0002%。对于这种情况直接更改限定值。
    第二种,是显示问题的网格数目很多,占总体的超过10%,甚至更多,对于这种情况需要更改MeshData的参数设置,重新对网格进行绘制。
    必须保证,不能出现负网格。

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    O

    我想在Fluent中模拟单相超音速横流射流,已知横流入口马赫数为1.6,总压为241kPa,总温为295k,射流入口的马赫数为1,总压为476kPa,总温为295k,根据我查阅的资料,对于这种超音速可压缩流动应该压力入口和压力出口边界条件。
    2bd2af9c-46b0-4bfe-af9e-0fa137ddbbd5-image.png
    c4ee670e-4062-481a-b52d-db5cad6d6037-image.png
    但是现在对于出口压力和温度设置我不清楚应该如何设置?除此之外,对于超音速可压缩流动模拟,还需要注意什么设置细节吗?

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    H

    @hustzzw 微信图片_20221101093137.png
    就像这个图中里面圆柱区域和外面圆环柱区域

  • 多出口入口的边界设置问题

    OpenFOAM
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    B

    @李东岳 好的谢谢老师指点:ok2:

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    bestucanB

    @jdzhang 你的颗粒会动么?不会动,为什么颗粒间还有距离?会动,那对着“多相流”查比对着“多孔介质”查更容易找到解决方案些。

    这有一个画网格的:
    https://www.bilibili.com/video/BV1eS4y1F7Wm/?vd_source=c01e8d4fff0db460c75b32e0d0191b24

    这有些相关的:
    https://www.researchgate.net/publication/308996206_Pore-scale_numerical_simulation_of_mud_erosion_in_the_subsea_sand-mud_alternate_layer_using_lattice_Boltzmann_method

    https://ascelibrary.org/doi/10.1061/(ASCE)HY.1943-7900.0001489

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    B

    @LuoS 在 snappyHexMesh对复杂地形添加边界层报“浮点数例外 (核心已转储)”错误 中说:

    教程中似乎有个建筑风的案例:
    /Tutorials/inco

    好的谢谢 我试一下

  • fluent中多相流可以和燃烧进行耦合吗?

    Fluent
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    W

    有相关的case案例吗

  • M1制作免费ubuntu虚拟机

    CFD彩虹条
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    R

    感谢分享。不过虚拟机的话用UTM(免费)很方便,直接加载官方镜像安装即可。我在UTM里的Ubuntu20.04(Focal)里成功编译了OF8,9和OF v2012。

  • ICEM如何对连续圆弧进行网格划分?

    Meshy
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    李东岳

    黑圈那些edge,都不能关联,要取消关联

  • olaFlow中的孔隙介质问题

    OpenFOAM
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    G

    @stan同学 好的,感谢

  • nonNewtonianIcoFoam 量纲报错

    OpenFOAM
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    @李东岳 这个因为OpenFOAM官方给的是cross的case,所以里边的量纲是我根据OpenFOAM里边相关物理量的量纲自己弄的,应该是我弄错了,老师您的默认值是自己设置的吗

  • 关于bubble flow中的通量计算问题

    Algorithm
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    yhdthuY

    @东岳 如此说来,除了加密网格,没有好的解决方案啦:zoule: :zoule:

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    T

    已经解决了 找到KCS的draft 在setfields 或者 waveProperties 设置即可。

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    李东岳

    0_1543372305704_捕获.JPG

    https://www.ansys.com/-/media/ansys/corporate/resourcelibrary/article/aa-v2-i2-coupling-momentum-and-continuity.pdf

    刚看了下,Fluent那面也只是速度和压力耦合求解。能量抛在了外面。

    但是另一个文档速度压力能量放在了一起 : http://www.bakker.org/dartmouth06/engs150/05-solv.pdf

    速度压力耦合求解在高超那面用的多,如果分析N-S方程的数学特征(双曲抛物),你需要把u, v, w, p当成矢向量,然后求特征值特征向量。接下来求解这个矩阵就是耦合算法。我目前只是了解到思路,没亲自植入过。可

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    Prometheus10P

    @bestucan 感谢,follow path 和follow data 都很好用

  • 关于paraview的镜像后处理

    已移动 OpenFOAM
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    Y

    @李东岳 我也是,no data to extrude6e2e697a-d8c9-4c0e-bdbf-b00adca9ecca-image.png

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    五好青年

    kubuntu
    manjaro
    archlinux
    centOS

  • 0 赞同
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    Y

    @yingqing 不知道为啥,有一次成功了,在弄就不能成功了。节点的位置进行了设置,但网格的节点与我设置的节点不重合。就像这样
    177924ad-d438-468f-8cf5-a612fe049465-image.png

  • 0 赞同
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    P

    英国谢菲尔德大学(The University of sheffield)Energy2050团队(http://energy2050.ac.uk)在招一个做CFD方向的全奖博士,做旋转填料床反应器捕捉二氧化碳的CFD仿真研究,对此职位感兴趣的研究生或者优秀本科毕业生可以申请(可直博),目前的申请截止日期是2022年7月22日(可能推迟),如来不及,入学时间可推迟到明年一月。

    谢菲尔德大学,世界百强名校,著名的CFD仿真软件Fluent的发源地,课题组学术氛围很好,适合静心搞科研。课题组在CFD领域有几十年的研究基础,在CCUS领域有丰富的研究资源,课题紧扣国内火热的"双碳"主题,该细分方向组里有7年的研究基础了,可以在前人的基础上接着做。

    具体招聘信息如下:
    We have a fully funded PhD studentship and look for applicants open to both UK and international students: Engineering doctorate (EngD): Predicting performance of intensified carbon capture inside rotating packed beds using CFD modelling

    If you know any good students from China, or the UK, please encourage them to apply.
    Any questions then let them to contact Professor Lin Ma: https://www.sheffield.ac.uk/mecheng/people/academic/lin-ma

    The advert is on findaphd.com: https://www.findaphd.com, search for the project 搜索 predicting performance of intensified carbon capture inside rotating packed beds using cfd modelling。

    或直接通过以下链接:https://www.findaphd.com/phds/project/engineering-doctorate-engd-predicting-performance-of-intensified-carbon-capture-inside-rotating-packed-beds-using-cfd-modelling/?p145128#opennewwindow

    Please make sure that they apply through the university of sheffield website: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying.

    课题介绍:

    Carbon capture is considered the only technology able to decarbonise the hard-to-abate industries. many of these industries utilise legacy sites with little space for large new unit operations required in conventional carbon capture. rotating packed beds (RPB) look to solve this problem by intensifying carbon capture and reducing the footprint required by up to ten times, while also significantly decreasing the capital cost of these units. when combined with proprietary solvents, it is believed the cost of capture can be reduced to $30/tonne CO2 in some cases, helping to enable the rapid uptake of carbon capture and progression towards net zero.

    RPB are a novel technology that utilise the principles of process intensification to enhance the performance of mass transfer processes between fluids. given the application of rpb to the field of CO2 capture is relatively new, there is uncertainty regarding the impact of different process variables on the performance of the rpb that would otherwise require a significant amount of practical experimentation to investigate. computational fluid dynamics can enable the process to be accurately modelled, allowing for quick and inexpensive prediction of performance under various conditions.

    In this project a rotating packed bed absorber will be modelled in ansys fluent, with validation of the model’s outputs through use of the 1 tonnes of co2 per day (TPD) pilot-scale rotating packed bed absorber at the university of sheffield’s translational energy research centre. Initial research will involve investigating the impact of operational conditions and physical properties of the solvent on capture performance. As the project continues, the scope will widen to include sensitivity analysis of design parameters and the impact of scaling the RPB absorber on the existing project outputs and learnings. Additionally, further rotating unit operations could also be investigated.

    This project will utilise and develop your knowledge surrounding CFD modelling, mass and heat transfer, reaction kinetics and chemical equilibria. You will work closely with carbon clean, a global leader in the development of carbon capture technology and pioneers in the use of RPB for industrial decarbonisation. Your findings could directly impact the design and operation of commercial working carbon capture facilities, supporting the pathway to net zero.

    We are seeking applicants to start in september 2022.

    The project will be part of the EPSRC-supported centre for doctoral training in resilient decarbonised fuel energy systems. The student who undertakes it will be one of a cohort of over 50 students in a broad range of disciplines across the universities of sheffield, nottingham and cardiff.

    The research work will be based in the energy research group within the department of mechanical engineering and the translational energy research centre (TERC) at sheffield which is a brand new, high profile, innovation focused national research facility. You will be working within an exciting and dynamic group with approximately over 60 researchers undertaking a broad area of energy research with approximately three years' extensive research time in industry, preparing for high-level careers in the energy sector.

    Funding notes
    The studentship will cover full university fees and a tax-free, enhanced annual stipend of £20,352, including £16,062 (2022/2023) a year for four years and a stipend enhancement of £3,750 per annum.

    英国的全奖机会非常少,机会难得,欢迎各位优秀的CFDer申请!

  • 求助贴!关于无稳态流场的CFD计算

    Algorithm
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    @him 谢谢解答,另外一般商业软件的定常求解器是用的时间推进来求解的吗?如果是时间推进的定常求解器,这种不稳定的振荡可否理解为流场随时间的变化?