Estimating the Surface Roughness of a Drilled Surface Using the Edge Detection Technique

Drilling is a preliminary operation in many machining operations. Surface characteristics of the drilled surface play an imperative role in determining the performance and quality of the final parts. The texture of the surfaces can be identified by the appearance of the surface in images. In the proposed method we are taking the image of the drilled surface and estimating the roughness of the surface based on irregularities on the surface. Irregularities or scratches formed during the machining are extracted as edges in image analysis. In this work, we are dealing with the detection and localization of the roughness of the drilled hole image using the Sobel Edge Detection Method. The surface texture of the drilled hole is estimated based on the edges detected by the edge detection method. the surface is rough if more edges are identified. Using the contact method surface roughness values of the same workpiece with different speed and feed is estimated. For the speed 2000 and feed 25 using the contact method roughness value is 0.5588 μm, for the speed 3000 and feed 75 using the contact method roughness value is 0.3827 μm, for the speed 4000 and feed 75 using the contact method roughness value is 0.3110 μm. From the proposed system we got more edges detected for speed 2000 and feed 75 and fewer for speed 3000 and feed 75 and very fewer edges are detected by the edge detection method for speed 4000 and feed 75. hence, edge detection is an accurate approach to estimating surface texture.