Towards automatic testing and defect recognition in magnetic particle inspection

In the trend toward improvement of quality assurance, billions of parts per year are nondestructively tested for surface cracks in the automotive industry. This puts a lot of stress on both the automotive components manufacturing process and the human inspectors. In order to streamline the entire au...

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Main Authors:	Hrairi, Meftah, Rizal, Mohd Shah, Ahmed, Elsiddig Abdelazim
Format:	Conference or Workshop Item
Language:	English
Published:	2010
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://irep.iium.edu.my/2016/ http://irep.iium.edu.my/2016/1/FKM-45.pdf

id	iium-2016
recordtype	eprints
spelling	iium-20162011-09-14T08:11:28Z http://irep.iium.edu.my/2016/ Towards automatic testing and defect recognition in magnetic particle inspection Hrairi, Meftah Rizal, Mohd Shah Ahmed, Elsiddig Abdelazim TJ Mechanical engineering and machinery In the trend toward improvement of quality assurance, billions of parts per year are nondestructively tested for surface cracks in the automotive industry. This puts a lot of stress on both the automotive components manufacturing process and the human inspectors. In order to streamline the entire automotive components production system and to relieve inspector stress, it is necessary to inspect the components automatically based on computer vision systems. This research is intended to tackle the problem of inspecting defects using an existing MPI machine that previously required entirely manual operation. A C++ algorithm has been proposed. It includes special tools that simplify the development of large applications as well as specific libraries that improve productivity. The developed system is much faster and more effective because it became a real-time system. In this system there are two subsystems, the software and the hardware. The hardware consists of an automation system that is responsible for movement of the camera, rotation of the tested work pieces and application of the magnetic particles. All of this mechanism will be controlled in automatic sequences by the software. The software system consists of the image processing algorithm and the control software which controls all the hardware movements. 2010-02 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/2016/1/FKM-45.pdf Hrairi, Meftah and Rizal, Mohd Shah and Ahmed, Elsiddig Abdelazim (2010) Towards automatic testing and defect recognition in magnetic particle inspection. In: The 2nd International Conference on Engineering and ICT, 18 - 20 February, 2010, Malacca, Malaysia.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Hrairi, Meftah Rizal, Mohd Shah Ahmed, Elsiddig Abdelazim Towards automatic testing and defect recognition in magnetic particle inspection
description	In the trend toward improvement of quality assurance, billions of parts per year are nondestructively tested for surface cracks in the automotive industry. This puts a lot of stress on both the automotive components manufacturing process and the human inspectors. In order to streamline the entire automotive components production system and to relieve inspector stress, it is necessary to inspect the components automatically based on computer vision systems. This research is intended to tackle the problem of inspecting defects using an existing MPI machine that previously required entirely manual operation. A C++ algorithm has been proposed. It includes special tools that simplify the development of large applications as well as specific libraries that improve productivity. The developed system is much faster and more effective because it became a real-time system. In this system there are two subsystems, the software and the hardware. The hardware consists of an automation system that is responsible for movement of the camera, rotation of the tested work pieces and application of the magnetic particles. All of this mechanism will be controlled in automatic sequences by the software. The software system consists of the image processing algorithm and the control software which controls all the hardware movements.
format	Conference or Workshop Item
author	Hrairi, Meftah Rizal, Mohd Shah Ahmed, Elsiddig Abdelazim
author_facet	Hrairi, Meftah Rizal, Mohd Shah Ahmed, Elsiddig Abdelazim
author_sort	Hrairi, Meftah
title	Towards automatic testing and defect recognition in magnetic particle inspection
title_short	Towards automatic testing and defect recognition in magnetic particle inspection
title_full	Towards automatic testing and defect recognition in magnetic particle inspection
title_fullStr	Towards automatic testing and defect recognition in magnetic particle inspection
title_full_unstemmed	Towards automatic testing and defect recognition in magnetic particle inspection
title_sort	towards automatic testing and defect recognition in magnetic particle inspection
publishDate	2010
url	http://irep.iium.edu.my/2016/ http://irep.iium.edu.my/2016/1/FKM-45.pdf
first_indexed	2023-09-18T20:09:32Z
last_indexed	2023-09-18T20:09:32Z
_version_	1777407384706088960

Towards automatic testing and defect recognition in magnetic particle inspection

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