Surface Topography and Roughness Prediction of Axial Ultrasonic Assisted Facing Grinding Metal

doi:10.3901/JME.2023.05.307

Abstract

Abstract: Axial ultrasonic assisted face grinding is widely used in difficult-to-machine material machining and the surface topography and roughness, which have significant influence on friction and fatigue properties. Ultrasonic vibration amplitude has a considerable influence on axial ultrasonic assisted facing grinding surface topography and roughness. In present surface topography and roughness prediction models, the influence of load on vibration amplitude has not been considered, so an axial ultrasonic assisted face grinding metal surface topography and roughness prediction model considering the variation of amplitude is proposed. A model of grinding wheel end face is built according to the wheel size and granularity. Three dimensional grinding trajectory is described mathematically. The three dimensional surface topography data and roughness of machined surface are calculated. On this basis, variation of surface roughness with ultrasonic vibration amplitude is investigated. Consequently, a concept of amplitude attenuation topography mapping coefficient is processed, and its calibration method is also given. Further, the amplitude with loaded could be calculated via the amplitude attenuation topography mapping coefficient. With the amplitude with loaded, the surface topography and roughness are gained with the axial ultrasonic assisted face grinding metal surface topography and roughness prediction model. Finally, accuracy of the prediction model is verified via axial ultrasonic assisted face grinding experiments.

Key words: ultrasonic vibration, grinding, amplitude, surface topography, surface roughness

CLC Number:

TG156

ZHANG Yuan, XU Nianwei, BAO Yan, DONG Zhigang, HAN Song, GUO Dongming, KANG Renke. Surface Topography and Roughness Prediction of Axial Ultrasonic Assisted Facing Grinding Metal[J]. Journal of Mechanical Engineering, 2023, 59(5): 307-316.

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