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所在平台: Udemy |
课程主页: https://www.udemy.com/course/cfd-for-professionals/
课程评论：没有评论
**Coursera课程总结：面向专业人士的计算流体动力学（CFD）** 这门课程旨在教授顶尖CFD工程师所使用的专业技能，帮助学员从初学者中脱颖而出。课程将重点讲解以下内容： * **网格敏感性研究与Richardson外插法：** 学员将学习如何正确进行网格敏感性研究，掌握Journal of Fluids Engineering推荐的Richardson外插法，这是许多工程课程中未曾教授的关键技术。 * **选择合适的RANS湍流模型：** 课程将指导学员如何选择适用的RANS湍流模型，例如k-epsilon和k-omega SST模型。 * **优化结果可视化：** 学员将学习如何最大化利用等值线图和折线图，以生成专业水准的图表。 通过掌握这些技能，学员将能够撰写出更出色的期刊论文、会议论文、博士及硕士学位论文以及技术报告，显著提升其在同行中的竞争力。 课程提供丰富的**实际案例**，并配有**Python、MATLAB代码和Excel电子表格**，学员可根据个人偏好选择学习工具（Python和MATLAB代码完全一致）。 学完本课程后，学员将对CFD计算充满信心，并能自信地将其所学技能应用于自身的CFD分析工作中。本课程教授的技巧具有**普适性**，可应用于任何CFD软件，如Fluent、CFX、OpenFOAM等。
This course will show you the skills that are used by the top Computational Fluid Dynamics (CFD) engineers to separate themselves from the beginners. You will learn how to carry out a mesh sensitivity study correctly using Richardson Extrapolation. This is a technique that is recommended by the Journal of Fluids Engineering and is often not taught in engineering classes. You will also learn how to choose the right RANS turbulence model (k - epsilon, k - omega SST) and how to get the most out of your contour plots and line graphs. These skills will help you produce professional looking journal papers, conference papers, PhD and Masters theses and technical reports, that are significantly better than other scientists and engineers. Worked examples are provided throughout the course, with python code, MATLAB code and Excel spreadsheets provided (you can use whichever language you feel more comfortable with. The MATLAB code and python code is identical). By the end of the course you will be confident and ready to apply the skills in your own CFD calculations. The lessons in this course can be applied to any CFD code, so it does not matter what CFD code you use (Fluent, CFX, OpenFOAM etc.)
