Characterisation of diamond abrasive grains of grinding tools using industrial X-ray computed tomography
| Autor: | Changcai Cui, Hui Huang, Jing Lu, Guoqin Huang, Xiangqian Jiang, Qunfen Qi, Xipeng Xu, Luca Pagani |
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| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Materials science Mechanical Engineering Abrasive Diamond Signed distance function 02 engineering and technology Grinding wheel engineering.material 021001 nanoscience & nanotechnology Grayscale Industrial and Manufacturing Engineering Computer Science Applications Grinding 020901 industrial engineering & automation Control and Systems Engineering Triangle mesh engineering Tomography Composite material 0210 nano-technology Software |
| Zdroj: | The International Journal of Advanced Manufacturing Technology. 112:25-40 |
| ISSN: | 1433-3015 0268-3768 |
| Popis: | In this paper, a characterisation of diamond abrasive grains of grinding tools using industrial X-ray computed tomography (XCT) is carried out. One of the most challenge tasks in the characterisation is extracting the diamond abrasive grains from the XCT volume data. Methods that are able to extract the grains are then developed and introduced in this paper. The first step is to create a triangular mesh surface from the reconstructed volume file using a gradient anisotropic diffusion filter. The second step is to convert the measured greyscale volume into a signed distance field using a global threshold value and then a localised method for grain segmentation. To validate the proposed method, three different types of grinding tool specimens are measured and analysed. Each abrasive grain is segmented and the distributions of grains (with both random and designed patterns) are then calculated, plotted and analysed. The quantitative analysis clearly shows the deviations between the measured distribution and the designed pattern of the grinding tool, which indicates that the proposed method can provide an accurate and comprehensive characterisation of the grinding tools. |
| Databáze: | OpenAIRE |
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