Zamzuri, Hamedon and Azmir, Azhari and A. R., Yusoff (2018) In-Situ Measurement of Electrode Wear During EDM Drilling using Vision System. Journal of Advanced Manufacturing Technology, 12 (1). pp. 513-524. ISSN 2289-8107. (Published)
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Abstract
Machine vision system is an image-based technology used 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 showed that this system is suitable and applicable in EDM super drill machine to monitor the tool condition.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Electrode Wear; Vision System; DSLR; EDM; Power Drill |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Faculty/Division: | Faculty of Manufacturing Engineering |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 24 Sep 2018 05:16 |
| Last Modified: | 24 Sep 2018 05:16 |
| URI: | http://umpir.ump.edu.my/id/eprint/22185 |
| Download Statistic: | View Download Statistics |
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