Study Of Punch-Die Misalignment Using Machine Vision System

Misalignment is one of the main sources of defect in deep drawing process. This will delay the whole process in a production line, lead to many problem such as late of product delivery. This study investigate the punch-die misalignment using image processing system and machine vision system. The...

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Bibliographic Details
Main Author: Basir, Mohd Fairdaous
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2017
Subjects:
Online Access:http://eprints.usm.my/54411/1/Study%20Of%20Punch-Die%20Misalignment%20Using%20Machine%20Vision%20System_Mohd%20Fairdaous%20Basir_M4_2017.pdf
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author Basir, Mohd Fairdaous
author_facet Basir, Mohd Fairdaous
author_sort Basir, Mohd Fairdaous
collection USM
description Misalignment is one of the main sources of defect in deep drawing process. This will delay the whole process in a production line, lead to many problem such as late of product delivery. This study investigate the punch-die misalignment using image processing system and machine vision system. The misalignment of the punch-die are obtained by analyzing the image captured using image processing system. The punch-die was placed on hydraulic press machine. Speed lights and LED lights were placed behind the specimen to capture a good quality image to be processed on MATLAB. The captured images were analyzed using image processing. Compared with the usual ways of detecting misalignment combined with the purposed image processing system has significant potential for decreasing the time consumption on fixing the misalignment.
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spelling usm.eprints-544112022-08-30T07:43:25Z http://eprints.usm.my/54411/ Study Of Punch-Die Misalignment Using Machine Vision System Basir, Mohd Fairdaous T Technology TJ Mechanical engineering and machinery Misalignment is one of the main sources of defect in deep drawing process. This will delay the whole process in a production line, lead to many problem such as late of product delivery. This study investigate the punch-die misalignment using image processing system and machine vision system. The misalignment of the punch-die are obtained by analyzing the image captured using image processing system. The punch-die was placed on hydraulic press machine. Speed lights and LED lights were placed behind the specimen to capture a good quality image to be processed on MATLAB. The captured images were analyzed using image processing. Compared with the usual ways of detecting misalignment combined with the purposed image processing system has significant potential for decreasing the time consumption on fixing the misalignment. Universiti Sains Malaysia 2017-06-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/54411/1/Study%20Of%20Punch-Die%20Misalignment%20Using%20Machine%20Vision%20System_Mohd%20Fairdaous%20Basir_M4_2017.pdf Basir, Mohd Fairdaous (2017) Study Of Punch-Die Misalignment Using Machine Vision System. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Mekanik. (Submitted)
spellingShingle T Technology
TJ Mechanical engineering and machinery
Basir, Mohd Fairdaous
Study Of Punch-Die Misalignment Using Machine Vision System
title Study Of Punch-Die Misalignment Using Machine Vision System
title_full Study Of Punch-Die Misalignment Using Machine Vision System
title_fullStr Study Of Punch-Die Misalignment Using Machine Vision System
title_full_unstemmed Study Of Punch-Die Misalignment Using Machine Vision System
title_short Study Of Punch-Die Misalignment Using Machine Vision System
title_sort study of punch die misalignment using machine vision system
topic T Technology
TJ Mechanical engineering and machinery
url http://eprints.usm.my/54411/1/Study%20Of%20Punch-Die%20Misalignment%20Using%20Machine%20Vision%20System_Mohd%20Fairdaous%20Basir_M4_2017.pdf
work_keys_str_mv AT basirmohdfairdaous studyofpunchdiemisalignmentusingmachinevisionsystem