3 research outputs found

    In-Situ Measurement Of Electrode Wear During Edm Drilling Using Vision System

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    Machine vision system is an image-based technology use to perform automatic inspection and analysis such as process control and robot guidance. The aim for this project is to develop a fully automated electrode wear detection system in EDM by using machine vision system and apply this system in detecting electrode wear in EDM. This project was conducted using DSLR camera as monitoring device. The electrode undergo hole making process with a depth of 10 mm,20 mm,30 mm,40 mm, and 50 mm to observe the electrode condition. The image of the electrode will be remotely captured from the laptop and then will undergo image processing process using Matlab software to calculate and determine the electrode wear. The output of this project will show the images of the electrode wear and its wear value. Findings from the project show that this system is suitable and applicable in EDM super drill machine to monitor the tool condition

    Innovative method of measuring electrode wear during EDM drilling process using vision system

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    The aim of this project is to develop a fully automated electrode wear detection system in EDM by using machine vision system and apply this system in detecting electrode wear in EDM drilling. Machine vision system was imagebased technology used to perform automatic inspection and analysis of the electrode wear for EDM drilling. The high resolution’s DSLR camera as monitoring device to capture the image. The brass electrode with the diameter of 3 mm undergo hole making process with a depth of 10 mm, 20 mm, 30 mm, 40 mm, and 50 mm to obtain the level of wear. The images of the electrodes were remotely captured using DSLR camera then read from the laptop and undergo image processing process using Matlab software to calculate and determine the electrode wear. The result showed the wear percentage of the electrode is 4.235% for 10 mm to 30 mm in depth and 3.59% for depth of 30 mm to 50 mm. This project showed that the developed system was suitable and applicable in monitor an EDM electrode super drill machine
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