The Study Of Diamond Grinding Wheel Surface Topography And3-d Evaluation Parameters Based On Wavelet Transform

Diamond grinding wheel grinding is a complex process，mainly using the diamondabrasive protruding from the binding agent of the grinding wheel surface to cut theworkpiece surface. The grinding wheel surface topography will have a significantimpact on the grinding performance, such as grinding force, grinding temperature,grinding depth, and grinding workpiece surface quality，the measurement andevaluation of grinding wheel surface topography is the key point of the study ofgrinding process. Only selecting the appropriate methods and the appropriateparameters for grinding wheel surface analysis and characterization, can we establishthe relationship between grinding wheel surface topography characterizationparameters and machining surface, and then choose the appropriate grinding wheelaccording to different processing requirements, or dress the grinding wheel beforegrinding. This is of great significance to improve the grinding performance, reducescrap, and improve the surface quality. Scholars at home and abroad have done a lotof research on evaluation and characterization parameters for the grinding wheelsurface topography. However, because of the complexity of the grinding wheelsurface topography, there is no perfect evaluation methods and characterizationparameters system about grinding wheel surface topography.In this paper, using wavelet analysis method, three-dimensional data of thegrinding wheel surface topography measured by the confocal microscope weremulti-scale analyzed, and then the fuzzy c-means clustering algorithm was used toidentify the grinding grain, at last, the application of the hybrid parameter andfunctional parameter of ISO25178-2standard in grinding wheel surface topographycharacterization were analyzed by using simulation of grinding wheel surfacetopography data combined with the actual grinding wheel surface data. The maincontents are as follows:(1) Using wavelet analysis method for diamond grinding wheel surface topographymulti-scale decomposition and reconstruction, the grinding wheel surfacetopography wavelet datum and wavelet edge detection of grinding wheel grinding grain were analyzed.(2) Because the change rules of the the height of diamond abrasive and bond of thegrinding wheel surface are different, the fuzzy c-means clustering algorithmwas applied to the separation of the grain and the bond to implement the edgedetection of the abrasive.(3) By using simulated diamond wheel surface topography data, following theprinciple of single variable, combined with the actual grinding wheel surfacetopography data, the hybrid parameter and function parameter of ISO25178-2standard were analyzed in the application of the grinding wheel surfacetopography characterization, and according to the actual analysis, the spacedivision on the surface of the function parameters were improved according tothe grinding wheel surface.