Prediction And Experimental Study On Surface Morphology Of SiC Machined By Diamond Grinding Wheels

Silicon carbide ceramic materials have become more and more widely used due to their superior physical and chemical properties,but at the same time,due to the high hardness,high brittleness and low breaking strength physical properties of ceramic materials,they are prone to surface during processing and Subsurface cracks affect the quality of the surface of the workpiece and limit its application.In order to suppress the generation of surface cracks in the processing of silicon carbide ceramic materials,the research on silicon carbide ceramic materials mainly focuses on the grinding removal mechanism,grinding process,etc.,but the research on the surface topography of the workpiece after processing is insufficient.The surface morphology is most directly reflected in the surface roughness.The influence of surface roughness on the parts mainly includes wear resistance,surface aesthetics,surface corrosion resistance,contact stiffness and material fatigue resistance.The grinding process is mainly composed of a large number of abrasive particles randomly distributed on the surface of the grinding wheel to participate in the process of cutting and removing materials.This paper is based on the grinding simulation analysis of silicon carbide workpiece materials from single,two and randomly distributed abrasive grains.Starting from the study,the influence of the shape,size and position distribution of the abrasive grains on the surface morphology of the formed silicon carbide workpiece was studied.The main research contents of this paper are as follows:(1)Conducting the nano-scratch test of SiC ceramic materials,studying the brittle removal process of silicon carbide,and comparing with the calculation results of the established scratch simulation model to verify the correctness of the simulation calculation model.(2)Simulating the shape of irregular diamond abrasive grains,based on the consideration of the cutting direction of irregular abrasive grains and the position distribution of two abrasive grains,respectively,the influence of single and two abrasive grains on the morphology of sliding groove..(3)Based on the experimental diamond micropowder and the agglomeration of the grinding wheel made by self-sintering,considering the size,position,cutting and the effective protruding height of the abrasive grain relative joint surface,the simulation of the grinding wheel agglomeration is carried out;The three-dimensional shape of the grain and the two abrasive grains were simulated.The width and depth values of the single and two abrasive grain sliding grooves were predicted by the neural network algorithm.Based on the established wheel block shape,the position distribution of the abrasive grains was extracted.The data is used to predict the surface topography of a plurality of random and inexpensive particles.Carry out the grinding and sliding test of the grinding wheel,and detect the surface topography of the workpiece formed after the sliding,and compare it with the prediction results of the surface topography based on the neural network algorithm to verify the random multiple abrasive particles.The correctness of the model of the slipper surface topography prediction.