Friction coefficient data of open-cell AlSi10Mg and AlSi10Mg-Al2O3 materials with different pore sizes by pin-on-disk test and machine learning prediction

The data folders and files are organized in the repository as follows:

Pin-on-disk_data folder contains three subfolders (Raw_files; Processed_files; COF_calculation).
The Raw_files subfolder contains 12 DWF files with the raw data for each specimen.
The Processed_files subfolder contains 12 XLSX files with the processed data for each specimen.
The COF_calculation subfolder contains eight XLSX files with the average COF and time data for each material, two PNG files with the plots of the average COF vs time for each material pair, and one python script for calculating and visualizing the average COF and time data.
Prediction folder contains three subfolders (Input_files; Output_data; Python_COF_prediction).
The Input_files subfolder contains four XLSX files with the input data for the python script to make the predictions of COF vs sliding time for each material.
The Output_data subfolder contains eight XLSX files with the actual and predicted values of COF for two different sets (test and validation) of each material, four TXT files with the performance metrics of the predicted COF for each material, and four PNG files with the plots of the actual vs predicted COF as a function of time for each material.
The Python_COF_prediction subfolder contains one python script for making and evaluating the predictions of COF vs sliding time using a XGBoost model.

The data were collected by performing dry wear tests at room temperature with linear velocity 0.5 m∙s−1, load 50 N and sliding time of 420 s. The labels of the specimen indicate the following:

• AC_3_2, AC_3_3, AC_3_4, are three datasets used for pin-on-disk tests conducted with open-cell AlSi10Mg-Al2O3 composite with pore size of 800 ÷ 1000 μm (AC);
• C_5_1, C_5_2, C_5_3, are three datasets used for pin-on-disk tests conducted with open-cell AlSi10Mg material with pore size of 800 ÷ 1000 μm (C);
• AE_3_2, AE _4_1, AE _6_6, are three datasets used for pin-on-disk tests conducted with open-cell AlSi10Mg- Al2O3 composite with pore size of 1000 ÷ 1200 μm (AE);
• E_3_1, E _6, E _6_3, are three datasets used for pin-on-disk tests conducted with open-cell AlSi10Mg material with pore size of 1000 ÷ 1200 μm (E).

本仓库内的数据文件夹与文件组织形式如下：

Pin-on-disk_data文件夹包含三个子文件夹（Raw_files、Processed_files、COF_calculation）。
Raw_files子文件夹内含12个DWF文件，存储各试样的原始测试数据。
Processed_files子文件夹内含12个XLSX文件，存储各试样的预处理后数据。
COF_calculation子文件夹内含8个XLSX文件，存储各材料的平均摩擦系数（Coefficient of Friction，简称COF）与时间数据；2个PNG文件，展示各材料副的平均COF随时间变化的曲线；以及1个Python脚本，用于计算并可视化平均COF与时间数据。

Prediction文件夹包含三个子文件夹（Input_files、Output_data、Python_COF_prediction）。
Input_files子文件夹内含4个XLSX文件，存储供Python脚本使用的输入数据，用于预测各材料的COF随滑动时间的变化关系。
Output_data子文件夹内含8个XLSX文件，存储各材料两组不同数据集（测试集与验证集）的COF实际值与预测值；4个TXT文件，存储各材料的预测COF性能指标；以及4个PNG文件，展示各材料的实际COF与预测COF随时间变化的对比曲线。
Python_COF_prediction子文件夹内含1个Python脚本，用于基于XGBoost模型实现COF随滑动时间变化的预测与评估。

本数据集通过室温下的干摩擦磨损试验采集得到，试验参数为：线速度0.5 m·s⁻¹，载荷50 N，滑动时长420 s。试样标签含义如下：
• AC_3_2、AC_3_3、AC_3_4：三组数据集对应孔径为800~1000 μm的开孔型AlSi10Mg-氧化铝（Al₂O₃）复合材料的销盘式（pin-on-disk）试验；
• C_5_1、C_5_2、C_5_3：三组数据集对应孔径为800~1000 μm的开孔型AlSi10Mg材料的销盘式试验；
• AE_3_2、AE_4_1、AE_6_6：三组数据集对应孔径为1000~1200 μm的开孔型AlSi10Mg-氧化铝复合材料的销盘式试验；
• E_3_1、E_6、E_6_3：三组数据集对应孔径为1000~1200 μm的开孔型AlSi10Mg材料的销盘式试验。