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  • 0 赞同
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    D

    @kdfluxit 根据质量守恒,肯定不连续啊

  • 0 赞同
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    C

    您好,我在使用comsol网格自适应算两相流会出现网格自适应速度跟不上两相运动速度,导致,这方面您是如何解决的呢

  • 尖角附近的网格过度

    Meshy
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    I

    @HITSC30 icem不是很熟练,我去试一下

  • Fluent中煤粉燃烧DPM burnout 问题

    Fluent
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    梦中飞翔的阿涛

    @bestucan 感谢大佬,我研究研究,后续有问题再请教您。

  • 什么是averaging turbulence?

    Algorithm
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    .J..

    @showhand 多谢大神回复!

  • 0 赞同
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    C

    @bestucan 运行第一行,物理CPU直接就是32

  • ICEM绘制的网格导入openfoam之后出现异常

    Meshy
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    @李东岳 好的,谢谢李老师

  • 请问win10装openfoam,怎么不影响速度?

    OpenFOAM
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    李东岳

    虚拟机肯定是没问题,跟Ubuntu真系统感觉没什么区别。
    但是BSL下面的OpenFOAM能感觉出来有点慢,之前对比过,主要是来自于磁盘读写。如果你有兴趣的话,可以试试对比下,谢谢。

  • 什么叫数值粘度?

    Algorithm
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    李东岳

    @paopaoai11 0_1459762185326_9e49d94068cdf3001bfcef180a2398ec_b.jpg

    已更新

  • 《icoFoam解析》中压力修正的代码问题

    OpenFOAM
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    李东岳

    我的理解是fvc::div(phiHbyA)已经将原控制方程中的散度表示为高斯积分的求和形式了

    是的。正确。

  • fluent中UDF 能实现密度能随位置变化吗

    Fluent
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    W

    如题,fluent中UDF 能实现气体密度能随位置变化吗,不打开能量方程计算,会不会导致压力计算异常?

  • 0 赞同
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    李东岳

    这个要是openfaom的网格,就好处理了。2亿网格确实太多了,icem我也只画过最多几百万的网格。卡的都不行。你这2亿网格太疯狂了,机器内存应该很大。

  • CFD青年成长支持计划(2021)

    公告
    137
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    F

    想问一下李老师这个计划还有吗!!很想要这本湍流模型:mianmo:

  • 谢谢李老师

    OpenFOAM
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    @东岳 谢谢您的回复。我的边界条件是进口速度fixvalue,进口压力zeroGradient。出口速度inletoutlet,出口压力0。因为我之前AMI几何形状不一致,后来才改的。是不是除以0就是因为AMI有一部分没有贴合上。

  • sph入门

    CFD彩虹条
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    在本论坛搜索好像没有sph的内容呀,想入门sph,不知道各位大佬有没有推荐的书或者视频什么的

  • 这种网格在openfoam适用吗?

    OpenFOAM
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    Y

    5.5.1 fluentMeshToFoam
    ......
    There is currently no support for embedded interfaces and refinement trees.
    貌似对这个是不支持的。我也用过snappyHexMesh, 这种refinement的过渡处是会生成非结构网格的,也就是没有interface。现在snappyhexmesh是做了一些改进吗?

  • 0 赞同
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    hangszH

    SRF和MRF只是坐标系变换,将旋转问题变成stationary问题,所以湍流模型还是适用的。

    但是对于旋转问题或者流线弯曲问题,湍流模型是要进行修正的。

    参看: 《Some improvements in Menter's k-omega SST turbulence model》

  • 0 赞同
    26 帖子
    30k 浏览

    @李东岳 光猫要是有端口转发功能的话,你可以转发端口到你的内部ip

    比如ssh 是22 于是你就转22号端口到你的本地机器192.168.1.111的22端口
    你在外网 ssh 就行,关键是转发

  • 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!

  • 关于设置ISO平面的问题

    Fluent
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    P

    @paces 哦,好像是我操作的不对,中文界面给我整会不了