Research on image detection and recovering of diamond grinding wheel topography in precision machining

Abstract

With the aim to conveniently evaluate the abrasive worn states in precision grinding, this paper presents an image detection and evaluation function for grinding wheel’s micro-surface recovering. Any curved object have different focus level in the same image. With a fixed focus detector drived by motor, the information of abrasive height can be extracted from image sequence by focus evaluation. We propose and compared two method and find Gray-Level-Variance (GLV) have a better robustness on wheel’s surface recovering. The arithmetic works better and smoother when LULU operator is cooperated. Finally, we make a comparision between the result of GLV and ultra-depth 3D microscope in comparative section. The information of single abrasive and diamond pellets are concerned to prove the arithmetic’s validity and stability.