Prediction and Experimental Verification of Workpiece Surface Topology in Axial Ultrasonic Vibration Assisted Grinding Based on Dynamic Profile Sampling Method

doi:10.3901/JME.2018.21.221

Abstract

Abstract: A novel predicting method which is based on the dynamic profile sampling method for workpiece surface topology in axial ultrasonic vibration assisted grinding is presented. The surface topology model of grinding wheel is generated by assumptions that the diameters of sphere particles are distributed normally, and the positions of particles are distributed randomly. The formula of arbitrary particle motion path in axial ultrasonic vibration assisted grinding is established in a kinematic view. The dynamic profile sampling method is presented aiming at the feature of particle motion path. Then this method is amended by establishing the grove-broadening model as well as introducing the elastic deformation model and plastic pile-up model. Then the final surface topology of workpiece is generated. An experimental verification is conducted for the predicted results. A comparing analysis shows that predicted and measured surface topology of workpiece are featured similarity. Additionally, the average error between the predicted and measured surface roughness of workpiece is 5.3%, which verifies the accuracy of the predicting method.

Key words: axial ultrasonic vibration assisted grinding, dynamic profile sampling method, prediction, workpiece surface topology

CLC Number:

TG580

WANG Yan, LI Delin, LIU Jianguo, SONG Honglin, PENG Shuiping, WANG Rui. Prediction and Experimental Verification of Workpiece Surface Topology in Axial Ultrasonic Vibration Assisted Grinding Based on Dynamic Profile Sampling Method[J]. Journal of Mechanical Engineering, 2018, 54(21): 221-230.

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