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Authors
Kang, Mingxia
Hua, Dezheng
Li, Yongbo
Królczyk, Grzegorz M.
Liu, Xinhua
Gupta, Munish Kumar https://orcid.org/0000-0002-0777-1559
Królczyk, J. B.
Li, Z.
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Funding
Funding for this research was provided by:
Jiangsu Funding Program for Excellent Postdoctoral Talent (2022ZB519)
Priority Academic Program Development of Jiangsu Higher Education Institutions
GRAS (269/23)
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Article History
Received: 17 December 2023
Revised: 14 March 2024
Accepted: 28 March 2024
First Online: 25 April 2024
Declarations
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: The authors declare that they have no competing interests.
: The authors state that the research was conducted according to ethical standards.
: The innovation of this paper lies in the innovation of morphology modeling method. Unlike existing modeling methods, the image processing techniques is used to extract geometric feature information such as surface abrasive height, distribution, size, and shape from the measurement results of grinding wheel morphology in this paper. Statistical analysis is conducted and a morphology model related to the dressing process parameters is established. Based on this, abrasive wear is considered and a surface morphology model of the workpiece under different grinding process parameters is established by combining material removal mechanisms.
