Characterisation of diamond abrasive grains of grinding tools using industrial X-ray computed tomography

Luca Pagani, Qunfen Qi, Jing Lu, Hui Huang, Guoqin Huang, Changcai Cui, Xipeng Xu, Xiangqian Jiang

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Number of pages16
JournalInternational Journal of Advanced Manufacturing Technology
Early online date15 Nov 2020
DOIs
Publication statusE-pub ahead of print - 15 Nov 2020

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