Drag, lift, and torque correlations for axi-symmetric rod-like non-spherical particles in linear wall-bounded shear flow

Data linked to the manuscript: Drag, lift, and torque coefficients of fixed axi-symmetric rod-like particles in linear wall-bounded shear flow

Authors:Victor Cheron, Berend van Wachem

Corresponding author:[e-mail]

FilesTemporally averaged drag, lift and torque coefficients are written in .txt files stored in the folder ResultsCoefficients.Python scripts used to plot the correlations are stored in the folder PythonScript.Two simulation results are provided in the folder SimulationResults.

Results and Coefficients

The .txt files are split per coefficient, aspect ratio and shear rate, which can be identified by the name of the .txt file.The results obtained for the torque coefficient of the particle of aspect ratio 2.5 for a uniform flow configuration are given in the file:Uniform-Torque-Angles-Size2-5.txt

The results obtained for the lift coefficient of the particle of aspect ratio 10 for a shear rate 0.2 configuration are given in the file:Shear02-Lift-Angles-Size10.txt

In the files, the results are ordered per orientation angle and particle Reynolds number. 

PythonScripts

The python scripts are split among three files:- Getter.py: this script reads the .txt files storing the coefficients.- ManuscriptCorrelations.py : this script returns the functions to read plot the correlations for the drag, lift and torque coefficients.- generalmain.py : calls the functions

The scripts Getter.py and ManuscriptCorrelations.py are called from the script generalmain.py file. This will return a 1D column vector ordering the variables used to derive thecorrelations:- Coefficients- Reynolds number- Orientation Angle- Dimensionless distance to the wall- Aspect ratio

Simulation Results

A simulation result is provided:- Aspect ratio 5, particle Reynolds number 100, orientation angles 30 and 150,  dimensionless distance 1.

The data of all fields (pressure, velocity, source terms from the particles) are stored in .h-files.

A .xmf reader is provided to read the simulation results in Paraview.

Data for one converged simulation time are provided due to storage limits.

AcknowledgmentsThis research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 448292913 and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 422037413 - TRR 287.

本数据集关联的手稿主题：受限线性剪切流中固定轴对称杆状颗粒的阻力、升力与力矩系数
作者：Victor Cheron、Berend van Wachem
通讯作者邮箱：[e-mail]

文件说明：时间平均后的阻力、升力与力矩系数存储于ResultsCoefficients文件夹内的.txt文件中；用于绘制相关性曲线的Python脚本存放于PythonScript文件夹；SimulationResults文件夹中提供了两组仿真结果。

结果与系数
.txt文件按系数类型、长细比（aspect ratio）和剪切率分类，文件名可直接区分对应类别。针对长细比为2.5的颗粒，在均匀流工况下得到的力矩系数结果存储于文件Uniform-Torque-Angles-Size2-5.txt中。
剪切率为0.2的工况下，长细比为10的颗粒的升力系数结果存储于文件Shear02-Lift-Angles-Size10.txt中。
文件内的结果按取向角与颗粒雷诺数（particle Reynolds number）排序。

Python脚本
本数据集包含三个Python脚本文件：
- Getter.py：用于读取存储系数的.txt文件
- ManuscriptCorrelations.py：提供用于读取、绘制阻力、升力与力矩系数相关性曲线的函数
- generalmain.py：调用上述两个脚本的主函数
通过运行generalmain.py即可调用Getter.py与ManuscriptCorrelations.py，最终将返回用于推导相关性的一维列向量，其变量排序依次为：系数、雷诺数、取向角、到壁面的无量纲距离、长细比。

仿真结果
本数据集提供一组仿真结果，对应参数为：长细比5、颗粒雷诺数100、取向角30°与150°、到壁面的无量纲距离1。
所有场数据（压强、速度、颗粒源项）均存储于.h文件中。
同时提供了.xmf读取器，可在Paraview中加载仿真结果。
由于存储限制，本数据集仅提供单个收敛仿真时刻的数据。

致谢
本研究由德国研究基金会（Deutsche Forschungsgemeinschaft, DFG）资助，项目编号448292913，以及德国研究基金会（Deutsche Forschungsgemeinschaft, DFG）资助的TRR 287项目（项目编号422037413）。