CFD collection
CFD
CFDer capabilities
- Fluid dynamics
- Gas dynamics
- Thermodynamics
- Numerical analysis
- Linear algebra
- Calculus
- Probability
- Pre-processing
- Post-processing
- Linux skills
- programming
- Measurement technique
- Experimental data post-processing
- Information-searching skills
- Literature search
- English ability
- …
Basics
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Continuum Mechanics stress, strain,
index and vector notation
Turbulence Modele
Course
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Lorena Barba
GPU computing, python
波士顿大学机械工程系Lorena Barba教授制作课程ME 702,CFDPython在课程中使用(Barba教授后来搬到乔治华盛顿大学),胡坤根据CFDPython编写了Julia CFD系列文章,位于原创汇总2020年度
CFDPython intro
CFDPython github
ME 702 - Computational Fluid Dynamics - Video Lesson 1 -
Prof. S. A. E. Miller, Ph.D.
Introduction to Computational Fluid Dynamics (CFD) -
李新亮 CFD课程
homepage
下载课件、程序及文档: http://pan.baidu.com/s/1slfC5Yl -
计算传热学大叔 数值传热学
bilibili Videos about Numerical Heat Transfer and CFD. -
刘建新 天津大学 CFD课程
https://www.bilibili.com/video/BV1vE411W7kV?p=1 -
Aidan Wimshurst oxford
youtube channel “Fluid Mechanics 101”
udemy -
Jorg Schluter
googlescholar https://www.youtube.com/watch?v=fAuG9PZwOfI
energy spectrum, RANS -
Julien Reveillon
googlescholar His website collected series of CFD channels and materials. -
tonysaad uCFD Lectures
http://www.tonysaad.net/uCFD/ -
Tanmay Agrawal (youtube)
Simulating Fluid Flows Using Python
An Introduction to CFD using MATLAB
CFD forum
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https://forum.cfdac.com/ (openfoam)
blog
Ansys tutorial
CFD channel
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JoshTheEngineer (python matlab airfoil)
youtube
http://www.joshtheengineer.com/panel-methods/
https://github.com/jte0419/ -
流沙 胡坤
youku
公众号 CFD之道
原创汇总2021年度
原创汇总2020年度
原创汇总2019年度
原创汇总2018年度
原创汇总2017年度
Books
Organization
CFD coding
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Prof. Lars Ruepke and 郭志馗kuí / Kiel University
Lecture on HydrothermalFoam WS2020 -
Scientific Computing for DPhil Students Prof. Nick Trefethen from Oxford
https://podcasts.ox.ac.uk/series/scientific-computing-dphil-students
https://www.bilibili.com/video/BV1VE411Q7ue/ -
2.097- Qiqi Wang
youtube- Numerical methods for PDEs 2016 2017 2020
- aerodynamics 2020 fall
Numerical methods for PDEs materials mit
Numerical methods for PDEs 2016 fall bilibili
Scientific Computing
Fluid dynamics
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NSF Fluid Mechanics Series
The classic fluid mechanics film courses and here is the Notes -
流体力学 清华大学
governing equation deduction, boundary layer, shock wave, turbulence -
Brian D. Storey (Fluid dynamics and heat transfer)
homepage
Lectures for Transport Phenomena course “Storey” -
Ron Hugo (fluid, heat transfer)
youtube -
Introduction to Compressible Flow - Prof. S. A. E. Miller, Ph.D.
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Casey Harwood (University of Iowa)
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NA320 - Marine Hydrodynamics I static pressure, Reynolds Transport Theorem, boundary layer, Material derivative, rans
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Jousef Murad
youtube -
CPPMechEngTutorials youtube
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Ahsan
Viscous Flow in Pipes - Fluid Mechanics
Fully Developed Laminar Flow & Poiseuille’s Law -
Carl Wassgren
https://www.youtube.com/user/cw2306
Material derivative
- wiki
- Fluid Kinematics - Part 2 (The Acceleration Field and Material Derivative)
- Material derivative
- Material derivative and Leibniz rule
- Aside: The material derivative
- The Material Derivative | Fluid Mechanics
- Introductory Fluid Mechanics L1 p6: Acceleration - Material Derivative
Multiphase Microfluidics
Aeronautics
- MIT 16.687 Private Pilot Ground School
homepage
youtube- Airplane Aerodynamics In video 2 airplane aerodynamics, I believe using the Bernoulli equation to explain the airfoil is not accurate.
- Special Lecture: F-22 Flight Controls
Machine Learning
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Shusen Wang
Data-driven
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von Karman Institute for Fluid Dynamics
lecture 1 Analysis, Modeling and Control of the Cylinder Wake (Prof. Bernd R. Noack)
lecture3 The Proper Orthogonal Decomposition (Prof. Scott T.M. Dawson)
lecture11 Nonlinear Dynamical Systems (Prof. Steve L. Brunton)
lecture12 Methods for System Identification (Prof. Steve L. Brunton)
lecture13 Introduction to Machine Learning Methods (Prof. Steve L. Brunton)
lecture14 Machine Learning in Fluids: Pairing Methods with Problems (Prof. Steve L. Brunton) -
Nathan Kutz
homepage googlescholar
youtube -
Steve Brunton POD DMD ML
homepage1 homepage2 googlescholar- Books
- Course
Measurement technique
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Signal Processing and Data Acquisition / Delhi / Bahga Lab IIT
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Digital Signal Processing (ECSE-4530) Lectures, Fall 2014 / Rich Radke❤️
DSP Lecture 4: The Fourier Series- impulse period signal –> fourier series
- http://falstad.com/fourier/
- FS doesn’t work
DSP Lecture 5: the Fourier Transform
- FT
- Dirac delta function (δ function)
- duality
DSP Lecture 13 The Sampling Theorem
- Nyquist theorem two time o the Frequency, how to confirm the Frequency of the system eg. rotor
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MIT Signal Processing: Continuous and Discrete / Derek Rowell
PIV Particle Image Velocimetry
If we want to see different planes at time t1, how to do it?
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A Beginner’s Introduction to Particle Image Velocimetry (PIV) using MATLAB - Part 1
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Cross-Correlation for Particle Image Velocimetry (PIV) using MATLAB
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Experimental Setup of Particle Image Velocimetry (PIV)
https://www.velocimetry.net/principle.htm -
Introduction to PIV and Advanced Processing Methods for PIV and Time Resolved PIV
1ms between the laser pulses
how to determine the $\Delta$T -
[Week 07 lec 03] Particle Image Velocimetry](https://www.youtube.com/watch?v=M21PQ52q_oc)
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openpiv github openpiv-matlab github openpiv-python youtube
readthedocs
Cross-correlation
- Part 2: Convolution and Cross-Correlation - G. Jensen
- Lecture 11: Micro Particle Image Velocimetry (Part 2, Flow Tracing Particles)
Wind tunnel
NASA Langley Full-Scale Tunnel Memories
Thermodynamics
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Thermodynamics CPP Professor David Miller
https://www.cpp.edu/meonline/thermodynamics.shtml
Thermodynamics I and Thermodynamics II -
Professor Randall Manteufel University of Texas
https://www.youtube.com/channel/UC56czEa9fgGKCHV-Lz-RZUQ/playlists -
Josua Meyer
Heat Transfer Lectures (2019) by Prof Josua Meyer -
16.Unified: Thermodynamics and Propulsion Prof. Z. S. Spakovszky
MIT webpage -
Engineering Thermodynamics (Dr. Supreet Singh Bahga, IIT Delhi)
Image Processing
- Intro to Digital Image Processing (ECSE-4540) Lectures, Spring 2015 “Rich Radke”
- Computer Vision for Visual Effects (ECSE-6969) Lectures Spring 2014 “Rich Radke”