Study on a probabilistic algorithm for the forming and 3D characterization of special-shaped surfaces under profile grinding

Zhao-Qing Zhang, Kai-Ning Shi, Yao-Yao Shi, Yi-Hui Song, Zhe He, Ya-Song Pu

Advances in Manufacturing ›› 2024, Vol. 12 ›› Issue (2) : 288-299.

Advances in Manufacturing ›› 2024, Vol. 12 ›› Issue (2) : 288-299. DOI: 10.1007/s40436-023-00467-9
Article

Study on a probabilistic algorithm for the forming and 3D characterization of special-shaped surfaces under profile grinding

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Abstract

Profile grinding is the most crucial method for the ultra-precision machining of special-shaped surfaces. However, profile grinding produces a unique machining profile, and many random factors in the machining process lead to complex surface characteristics. In this study, the structural and probabilistic characteristics of the profile grinding of a special-shaped surface were analyzed, and a probabilistic algorithm for the forming and 3D characterization of special-shaped surfaces under profile grinding was developed. The forming process of a GH738 blade tenon tooth surface was considered as an example to demonstrate the algorithm. The comparison results showed that the simulation results had similar surface characteristics to the measurement results, and the relative error range of the 3D roughness parameter was 0.21%–19.76%, indicating an accurate prediction and characterization of the complex special-shaped surface under the action of multiple factors.

Keywords

Special-shaped surface / Profile grinding / Surface morphology / 3D characterization

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Zhao-Qing Zhang, Kai-Ning Shi, Yao-Yao Shi, Yi-Hui Song, Zhe He, Ya-Song Pu. Study on a probabilistic algorithm for the forming and 3D characterization of special-shaped surfaces under profile grinding. Advances in Manufacturing, 2024, 12(2): 288‒299 https://doi.org/10.1007/s40436-023-00467-9

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Funding
National Natural Science Foundation of China http://dx.doi.org/10.13039/501100001809(51905442); National Major Science and Technology Projects of China http://dx.doi.org/10.13039/501100013076(2017-VII-0002-0095)

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