Method for evaluating damage of grinding surface of advanced ceramics based on wavelet multi-scale analysis

Abstract

The invention provides a method for evaluating damage of the grinding surface of advanced ceramics based on wavelet multi-scale analysis. The method comprises the steps of collecting original outline data of a sample, and selecting an optimal wavelet basis by combining the mathematical characteristics of the wavelet basis with a principle that a reconstruction error of the grinding surface of engineering ceramics is minimum; carrying out multi-scale decomposition by using the optimal wavelet basis, and extracting damage information by reconstructing a high-frequency coefficient; drawing a damage rate curve according to a reconstruction outline and calculating a mean damage distance; directly reading out a maximum damage depth and a maximum damage rate according to the damage rate curve; and judging a damage distribution condition. The method for evaluating the damage of the grinding surface of the advanced ceramics based on the wavelet multi-scale analysis provided by the invention has the advantages of simple steps and strong operability, can be used for accurately extracting and estimating the damage characteristics of the grinding surface of the advanced ceramics, and meets the using requirements of the quality estimation of the grinding surface of the advanced ceramics in actual engineering.

Description

technical field [0001] The invention relates to an evaluation method for surface damage of advanced ceramic grinding. In particular, it relates to an evaluation method for surface damage of advanced ceramic grinding based on wavelet multi-scale analysis. Background technique [0002] Advanced ceramics are widely used in military, aerospace, energy technology, nuclear industry and many other fields due to their excellent properties such as high hardness, high wear resistance, corrosion resistance and high temperature resistance. On the other hand, due to their hardness and brittleness, they make them It has become a difficult-to-machine material. At present, the main processing method is grinding, but the machined surface will still be damaged by cracks, cracks, and pits. At present, the evaluation of advanced ceramic grinding surfaces still uses traditional roughness indicators, such as the arithmetic mean deviation Ra of the contour, the root mean square deviation Rq of th...

AI Technical Summary

Problems solved by technology

Since the surface profile is a non-stationary random signal, and the deep valley phenomenon is a local feature, methods such as Fourier transform based on the stationary signal can no longer reflect its essential characteristics, and the time-frequency localization characteristics of the surface profile signal cannot be finely described.

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