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A high-precision prediction model for surface topography of abrasive belt grinding considering elastic contact

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Abstract

Abrasive belt grinding is a commonly used machining technique for many key components, especially on aerospace equipment. The surface roughness results from a belt grinding process are essential for the fatigue performance of workpieces; however, little research was reported on the surface topography generation of abrasive belt grinding. This study proposed a modeling and simulation method for the surface topography of abrasive belt grinding considering its elastic contact. Abrasive grain cloud forming tool was established combining standard grains number with Gaussian distribution. Workpiece surface and tool trajectory were discretized based on Brinell theory, which considered the microscopic cutting effects. Besides, Hertz theory is used to calculate the elastic deformation of rubber contact wheel with the selection of active abrasive grains and redistribution of forces in contact area; as a result, the interaction between multiple abrasive grains and workpiece could be simulated. Moreover, to verify the proposed method, numerical simulations and abrasive belt grinding experiments were conducted and compared. The results show that the minimum profile gap and error can reach 0.003 mm and 1.03% in terms of material removal depth and surface profile, and the error calculation is deeply affected by the denominator (simulation results). The grinding surface texture simulated by the model agrees well with the experimental observations, and the average predicting error of surface roughness is 3.25%.

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Funding

This work was supported by the National Natural Science Foundation of China (grant numbers 52205444 and 52175377); the China Postdoctoral Science Foundation (grant number 2021M700586); and the National Science and Technology Major Project (grant number 2017-VII-0002–0095).

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Authors and Affiliations

  1. College of Mechanical Engineering, Chongqing University, No.174, Shazhengjie, Shapingba, Chongqing, 400044, China

    Ying Liu, Shayu Song, Guijian Xiao, Yun Huang & Kun Zhou

  2. State Key Laboratory of Mechanical Transmissions, Chongqing University, No. 174, Shazhengjie Street, Shapingba, Chongqing, 400044, China

    Ying Liu, Guijian Xiao, Yun Huang & Kun Zhou

Authors
  1. Ying Liu
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Contributions

All authors contributed to the study conception and design. Conceptualization and methodology were performed by Ying Liu. Data curation; writing, original draft preparation; software; and editing were performed by Shayu Song. Visualization and validation were performed by Guijian Xiao. Investigation was performed by Yun Huang. Writing (reviewing) and supervision were performed by Kun Zhou. The first draft of the manuscript was written by Shayu Song and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Kun Zhou.

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Liu, Y., Song, S., Xiao, G. et al. A high-precision prediction model for surface topography of abrasive belt grinding considering elastic contact. Int J Adv Manuf Technol 125, 777–792 (2023). https://doi.org/10.1007/s00170-022-10757-4

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