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

doi:10.1007/s00170-020-06238-1

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

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

3 Citations (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 language	English
Pages (from-to)	25-40
Number of pages	16
Journal	International Journal of Advanced Manufacturing Technology
Volume	112
Issue number	1-2
DOIs	https://doi.org/10.1007/s00170-020-06238-1
Publication status	Published - Jan 2021

Bibliographical note

Funding Information:
This study was financially supported by the Institute of Manufacturing Engineering of Huaqiao University. JL, HH, GH, CC and XX were supported by the National Nature Science Foundation of China (Ref: 51835004) and Xiamen Science and Technology Project (3502Z20183019); QQ was supported by the UK’s Engineering and Physical Sciences Research Council (EPSRC) funding of the EPSRC UKRI Innovation Fellowship (Ref: EP/S001328/1); LP was supported by the EPSRC Fellowship in Manufacturing (Ref: EP/R024162/1).

Publisher Copyright:
© 2020, The Author(s).

Keywords

3D characterisation
Grinding tool
Grinding wheel
Industrial X-ray computed tomography
Sol-gel ball

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@article{d7ad58431a924081b8db5bbb3d88bae9,

title = "Characterisation of diamond abrasive grains of grinding tools using industrial X-ray computed tomography",

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.",

keywords = "3D characterisation, Grinding tool, Grinding wheel, Industrial X-ray computed tomography, Sol-gel ball",

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

note = "Funding Information: This study was financially supported by the Institute of Manufacturing Engineering of Huaqiao University. JL, HH, GH, CC and XX were supported by the National Nature Science Foundation of China (Ref: 51835004) and Xiamen Science and Technology Project (3502Z20183019); QQ was supported by the UK{\textquoteright}s Engineering and Physical Sciences Research Council (EPSRC) funding of the EPSRC UKRI Innovation Fellowship (Ref: EP/S001328/1); LP was supported by the EPSRC Fellowship in Manufacturing (Ref: EP/R024162/1). Publisher Copyright: {\textcopyright} 2020, The Author(s).",

year = "2021",

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doi = "10.1007/s00170-020-06238-1",

language = "English",

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TY - JOUR

T1 - Characterisation of diamond abrasive grains of grinding tools using industrial X-ray computed tomography

AU - Pagani, Luca

AU - Qi, Qunfen

AU - Lu, Jing

AU - Huang, Hui

AU - Huang, Guoqin

AU - Cui, Changcai

AU - Xu, Xipeng

AU - Jiang, Xiangqian

N1 - Funding Information: This study was financially supported by the Institute of Manufacturing Engineering of Huaqiao University. JL, HH, GH, CC and XX were supported by the National Nature Science Foundation of China (Ref: 51835004) and Xiamen Science and Technology Project (3502Z20183019); QQ was supported by the UK’s Engineering and Physical Sciences Research Council (EPSRC) funding of the EPSRC UKRI Innovation Fellowship (Ref: EP/S001328/1); LP was supported by the EPSRC Fellowship in Manufacturing (Ref: EP/R024162/1). Publisher Copyright: © 2020, The Author(s).

PY - 2021/1

Y1 - 2021/1

N2 - 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.

AB - 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.

KW - 3D characterisation

KW - Grinding tool

KW - Grinding wheel

KW - Industrial X-ray computed tomography

KW - Sol-gel ball

UR - https://www.scopus.com/pages/publications/85096046374

U2 - 10.1007/s00170-020-06238-1

DO - 10.1007/s00170-020-06238-1

M3 - Article (Academic Journal)

AN - SCOPUS:85096046374

SN - 0268-3768

VL - 112

SP - 25

EP - 40

JO - International Journal of Advanced Manufacturing Technology

JF - International Journal of Advanced Manufacturing Technology

IS - 1-2

ER -

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

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