Research On The Detection Method For Tool Wear Based On The Workpiece Surface Image

Based on the workpiece surface images, the detection method of tool wear is researched in this article by means of the image processing, the fractal and the wavelet technology. The pretreatment of workpiece surface, the feature extraction and the cutting tool condition recognition during the machining process are researched more especially.On the basis of theoretical analysis and experiments, the problems of image pretreatment such as intensity transformation, geometry transformation, edge detection, image segmentation, region mark and contrast enhancement were studied and the corresponding image processing algorithm was completed; and the foundation for realizing the image feature extraction about the cutting tool wear condition monitoring was laid according to above work. It is proposed in this article that the connected components integer should be used as the feature quantity of tool wear. The study showed that the connected components integer based on the image segmentation had a rising tendency along with the increase of the cutting tool wear and could be taken as the characteristic parameter of the cutting tool wear.The fractal theory was introduced into the cutting tool condition monitoring area based on images; the algorithm of the two-dimensional discrete image signal box dimension and the box dimension change rules were studied in the simple fractal field; and the experiments result demonstrates that the box dimension has a slow rising tendency along with the capacity increase of the cutting tool wearing. The purpose of cutting tool wear condition monitoring could be achieved effectively by taken advantages of this feature. The workpiece surface texture was totally described by using the multifractal spectrum, which was obtained by the way of the partition function; and the detailed algorithm was described as well; the value scope of the weight factor q was determined and the corresponding feature parameters were obtained to evaluate the uniformity of workpiece surface. And then, the relation with...