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Image processing of the grinding wheel surface

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Abstract

Identifying the situation of grinding wheel wear and loading is a very important issue for high-efficiency grinding operations. This paper presents a new method that detects and identifies the chip loading and cutting edge wear of a grinding wheel using the image processing toolbox of the MATLAB package. The different optical characters of the metal chips and the abrasive grains are analysed. The Sobel operator is adopted to make the edge detections. A sensitivity threshold based on the global condition is used to lower the noise. Image dilation and erosion processes are used to ensure that the edge of each loaded chip is covered by a continuous section. The ratios of chips are calculated and displayed to monitor the wheel surface working status.

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Acknowledgements

The authors acknowledge the support of the EPSRC, Wendt Boart and Rolls Royce.

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Authors and Affiliations

  1. School of Mechanical, Materials and Manufacturing Engineering, The University of Nottingham, University Park, Nottingham, NG7 2RD, UK

    Z. Feng & X. Chen

Authors
  1. Z. Feng
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  2. X. Chen
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Correspondence to X. Chen.

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Feng, Z., Chen, X. Image processing of the grinding wheel surface. Int J Adv Manuf Technol 32, 452–458 (2007). https://doi.org/10.1007/s00170-005-0357-6

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  • DOI: https://doi.org/10.1007/s00170-005-0357-6

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