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

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

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 el...

Full description

Bibliographic Details
Main Authors: Zamzuri, Hamedon, I., Razemi, Ahmad Rosli, Abdul Manaf, Nafrizuan, Mat Yahya
Format: Book Section
Language:English
English
Published: Springer Singapore 2018
Subjects:
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/21413/
http://umpir.ump.edu.my/id/eprint/21413/
http://umpir.ump.edu.my/id/eprint/21413/
http://umpir.ump.edu.my/id/eprint/21413/1/Innovative%20method%20of%20measuring%20electrode%20wear%20during%20EDM.pdf
http://umpir.ump.edu.my/id/eprint/21413/7/book38.1%20Innovative%20method%20of%20measuring%20electrode%20wear%20during%20EDM%20drilling%20process%20using%20vision%20system.pdf
id ump-21413
recordtype eprints
spelling ump-214132018-08-07T04:01:33Z http://umpir.ump.edu.my/id/eprint/21413/ Innovative method of measuring electrode wear during EDM drilling process using vision system Zamzuri, Hamedon I., Razemi Ahmad Rosli, Abdul Manaf Nafrizuan, Mat Yahya TS Manufactures 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. Springer Singapore 2018-04-28 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21413/1/Innovative%20method%20of%20measuring%20electrode%20wear%20during%20EDM.pdf pdf en http://umpir.ump.edu.my/id/eprint/21413/7/book38.1%20Innovative%20method%20of%20measuring%20electrode%20wear%20during%20EDM%20drilling%20process%20using%20vision%20system.pdf Zamzuri, Hamedon and I., Razemi and Ahmad Rosli, Abdul Manaf and Nafrizuan, Mat Yahya (2018) Innovative method of measuring electrode wear during EDM drilling process using vision system. In: Intelligent Manufacturing & Mechatronics: Proceedings of Symposium, 29 January 2018, Pekan, Pahang, Malaysia. Lecture Notes in Mechanical Engineering . Springer Singapore, Singapore, pp. 53-63. ISBN 9789811087875 https://doi.org/10.1007/978-981-10-8788-2_5 DOI: 10.1007/978-981-10-8788-2_5
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic TS Manufactures
spellingShingle TS Manufactures
Zamzuri, Hamedon
I., Razemi
Ahmad Rosli, Abdul Manaf
Nafrizuan, Mat Yahya
Innovative method of measuring electrode wear during EDM drilling process using vision system
description 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.
format Book Section
author Zamzuri, Hamedon
I., Razemi
Ahmad Rosli, Abdul Manaf
Nafrizuan, Mat Yahya
author_facet Zamzuri, Hamedon
I., Razemi
Ahmad Rosli, Abdul Manaf
Nafrizuan, Mat Yahya
author_sort Zamzuri, Hamedon
title Innovative method of measuring electrode wear during EDM drilling process using vision system
title_short Innovative method of measuring electrode wear during EDM drilling process using vision system
title_full Innovative method of measuring electrode wear during EDM drilling process using vision system
title_fullStr Innovative method of measuring electrode wear during EDM drilling process using vision system
title_full_unstemmed Innovative method of measuring electrode wear during EDM drilling process using vision system
title_sort innovative method of measuring electrode wear during edm drilling process using vision system
publisher Springer Singapore
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/21413/
http://umpir.ump.edu.my/id/eprint/21413/
http://umpir.ump.edu.my/id/eprint/21413/
http://umpir.ump.edu.my/id/eprint/21413/1/Innovative%20method%20of%20measuring%20electrode%20wear%20during%20EDM.pdf
http://umpir.ump.edu.my/id/eprint/21413/7/book38.1%20Innovative%20method%20of%20measuring%20electrode%20wear%20during%20EDM%20drilling%20process%20using%20vision%20system.pdf
first_indexed 2023-09-18T22:31:24Z
last_indexed 2023-09-18T22:31:24Z
_version_ 1777416310043443200

Similar Items