基于多颗磨粒随机分布的虚拟砂轮建模及磨削力预测

doi:10.7527/S1000-6893.2014.0065

Abstract

Abstract:

The distribution of abrasive grains existing in diamond grinding wheel surface is firstly measured by a VHX-600E optic microscope. The density of abrasive grains, the actual contact length and the effective number of abrasive grains are then calculated. Based on the assumption of interval distribution of abrasive grains and virtual grid method, the surface of virtual grinding wheel is randomly distributed with multi hexahedron abrasive grains which are equal in density. Besides, the posture of abrasive grains is randomly allocated to simulate the real topography of grinding wheel. The 3D simulated model of virtual grinding is built by importing a 1/4 virtual grinding wheel model into Deform-3D software and the simulated grinding force value of multi grains is obtained by Lagrangian Incremental algorithm. The multi-grain grinding force predictive model is then built with the simulated model. A carbide blade grinding experiment is performed to validate the predictive model by comparing the measured grinding force with the predictive force. The test verifies the accuracy and effectiveness of the proposed model in the paper. This paper provides a new method to investigate the grinding force which is co-grinded by multi-grains.

Key words: multi abrasive grains, random distribution, grinding wheels, grinding force, face grinding

CLC Number:

ZHANG Xianglei, YAO Bin, FENG Wei, SHEN Zhihuang. Modeling of Virtual Grinding Wheel Based on Random Distribution of Multi Abrasive Grains and Prediction of Grinding Force[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2014, 35(12): 3489-3498.

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Modeling of Virtual Grinding Wheel Based on Random Distribution of Multi Abrasive Grains and Prediction of Grinding Force

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