An Effective Drilling Wear Measurement based on Visual Inspection Technique

Abstract

The purpose of this research is to use the visual inspection technique for the automatic tool wear measurement of different coated drills. The tool wear images with the different coated drilling are captured using a machine vision system incorporating with an effective vertex detection algorithm based on subpixel edge detector and Gaussian filter is presented. The results show that the proposed algorithm is an effective method for the different coated drilling factor is recognized to make the most significant contribution to the over all performance. All drilling tests were carried out under dry cutting conditions without any coolant being used, The TiAlN-coated drilling has the least wear rate amongst these coated drilling cutters and has the longest tool life in this experiment

Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry

“…We briefly describe the papers most relevant for our research: First, there is a multitude of research developing approaches for automatic wear measurement. Several articles describe systems for flank wear measurement for drills, which are based on traditional computer vision approaches [16,17,18]. Traditional computer vision refers to approaches like texture-based image segmentation and edge detection for which the user needs to fine-tune a multitude of parameters [19].…”

“…Thus, it is not clear if they also worked with images where more than one wear mechanism is visible. Other papers rely on a purely visual evaluation based on concrete image examples [16,18,23]).…”

A Review on Applications of Image Processing in Inspection of Cutting Tool Surfaces

“…These orthodox methods are cumbersome, time consuming, limited in accuracy and application when they are implemented off-line. The application of image analysis (vision systems) has proved to be very efficient for area detection and technique is readily available for making the 3-D tool wear measurement [7]. It has the capability of making accurate measurement of sizes as small as 50 microns.…”

“…In this technique, a sequence of images is obtained by continuously varying the distance between the cutting tool surface and the image detector. Tool wear images were captured and ten different wear features: length, width, area, equivalent diameter, centroid, major axis length, minor axis length, solidity, eccentricity and orientation were extracted from the images [2,7]. A graphical user interface (GUI) was designed for easy application of system.…”

“…In machining processes, drilling operation is material removal processes that have been widely used in manufacturing since the industrial revolution. The drilling accounts for nearly 40% of all metal removal operations in the industry [7,8]. There are still two unsolved problems in drilling, like in many other machining processes: tool wear and tool breakage.…”