1. Characterization of ultrasonic-assisted grinding surface via the evaluation of the autocorrelation function.
- Author
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Li, Lin, Tang, Jinyuan, Wen, Yuqin, and Shao, Wen
- Subjects
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MANUFACTURING processes , *SURFACE structure , *METAL grinding & polishing , *SURFACE topography , *KINEMATICS , *AUTOCORRELATION (Statistics) - Abstract
The grinding morphology of metal materials is mainly determined by the geometric interference of abrasive particles, which means the machining marks left by the manufacturing process are the key components of the surface structure. However, few researches have been focused on the spatial structure of the grinding morphology. A general form of areal autocorrelative function (AACF) was proposed to characterize the conventional and ultrasonic-assisted grinding surfaces. Firstly, the 3D surfaces under different machining conditions including the axial ultrasonic-assisted grinding, vertical ultrasonic-assisted grinding, and elliptical ultrasonic-assisted grinding were simulated based on the grinding kinematics analysis. Subsequently, the features of the corresponding autocorrelation functions were analyzed and the expression form was given. Finally, the conventional grinding and axial ultrasonic-assisted grinding tests were performed to validate the AACF form. The results showed that the expression form was generally consistent with both the AACFs of the simulated and measured surfaces. The AACF family proposed in this study may serve as an effective and novel way to describe the spatial characteristics of the grinding especially the ultrasonic-assisted grinding surfaces. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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