Investigation on Wear Evolution Behavior of Pyramid Belt in Grinding of GH4169 Superalloy

Owing to its unique pyramid-shaped stacked abrasive structure, the pyramid belt pro-vides fine and uniform grinding performance, making it increasingly attractive for precision grinding applications. However, the wear evolution behavior of such belts during the grinding of GH4169 superalloy has not yet been systematically understood. In this study, a full-life-cycle pyramid belt wear experiment in grinding of GH4169 was conducted under fixed conditions. Three monitoring points were arranged along the belt length, and the same abrasive agglomerate arrays were repeatedly tracked using a digital microscope and optical profilometer, while a scanning electron microscope was used to identify the wear mechanisms. The results show that the main wear modes include agglomerate flat wear, fracture, pull-out, and metal adhesion, with flat wear dominating throughout most of the belt life. Across the belt width, the wear height exhibits an approximately symmetric distribution, with more severe wear in the central region. Temporally, the wear process comprises an initial rapid-wear stage followed by a steady-wear stage. In addition, belt wear evolution significantly affects the ground surface roughness, which first decreases and then increases with wear progression. These findings clarify the material-specific wear characteristics of the pyramid belt during GH4169 grinding and reveal the spatial and temporal characteristics of its wear evolution.

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Publication Details

Journal
Journal of Manufacturing and Materials Processing
Published
2026-08-03
DOI
https://doi.org/10.3390/jmmp10080277
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Investigation on Wear Evolution Behavior of Pyramid Belt in Grinding of GH4169 Superalloy

Junde Qi, Rui Xu, Songjiaming Liu, Zhao Zhang et al.
Journal of Manufacturing and Materials Processing
Advanced machining processes and optimization
article

Investigation on Wear Evolution Behavior of Pyramid Belt in Grinding of GH4169 Superalloy

Junde Qi, Rui Xu, Songjiaming Liu, Zhao Zhang, Zhijian Tao, Xin Huang, Dinghua Zhang
article en

Abstract

Owing to its unique pyramid-shaped stacked abrasive structure, the pyramid belt pro-vides fine and uniform grinding performance, making it increasingly attractive for precision grinding applications. However, the wear evolution behavior of such belts during the grinding of GH4169 superalloy has not yet been systematically understood. In this study, a full-life-cycle pyramid belt wear experiment in grinding of GH4169 was conducted under fixed conditions. Three monitoring points were arranged along the belt length, and the same abrasive agglomerate arrays were repeatedly tracked using a digital microscope and optical profilometer, while a scanning electron microscope was used to identify the wear mechanisms. The results show that the main wear modes include agglomerate flat wear, fracture, pull-out, and metal adhesion, with flat wear dominating throughout most of the belt life. Across the belt width, the wear height exhibits an approximately symmetric distribution, with more severe wear in the central region. Temporally, the wear process comprises an initial rapid-wear stage followed by a steady-wear stage. In addition, belt wear evolution significantly affects the ground surface roughness, which first decreases and then increases with wear progression. These findings clarify the material-specific wear characteristics of the pyramid belt during GH4169 grinding and reveal the spatial and temporal characteristics of its wear evolution.

Journal of Manufacturing and Materials ProcessingVol. 10(8)
Northwestern Polytechnical University (CN), Midea Group (China) (CN), Ministry of Industry and Information Technology (CN)
Natural Science Foundation of Sichuan Province, Key Research and Development Projects of Shaanxi Province
Responsible consumption and production
Openalex Percentile: Top 17%
Advanced machining processes and optimization
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