Automatic extraction of STL features

The dataset consists of the following attributes, each representing different aspects of 3D printed models:

1. File Name: The name of the STL file representing the 3D model.

2. Volume: The overall volume of the 3D model in cubic units, indicating the amount of space the object occupies.

3. dX, dY, dZ: The dimensions of the bounding box that encloses the entire 3D model, along the X, Y, and Z axes, respectively. These dimensions help understand the spatial extent of the model.

4. Number of Layers: The total number of layers that make up the 3D printed object. This reflects the complexity and granularity of the model.

5. Area of First Layer: The surface area of the first layer of the model. This is crucial for assessing the initial contact with the build platform, which affects adhesion.

6. Area of Last Layer: The surface area of the last layer of the model, which might differ from the first layer, providing insights into the model’s geometry and build process.

7. comFLx, comFLy, comFLz: The coordinates of the center of mass of the first layer along the X, Y, and Z axes. These values are important for understanding the balance and distribution of mass at the initial layer.

8. comLLx, comLLy, comLLz: The coordinates of the center of mass of the last layer along the X, Y, and Z axes, providing similar insights as the first layer but for the completion of the model.

9. Center of Mass Difference: A tuple representing the difference in the center of mass between the first and last layers, which helps in analyzing stability and structural integrity throughout the build.

10. Build Adhesion: A binary or categorical attribute indicating whether the initial layer adhered properly to the build platform (1 for successful adhesion, 0 for failure). This is a critical quality metric in 3D printing.

This dataset is designed to analyze the relationships between these attributes and to predict the likelihood of successful build adhesion in 3D printing processes.