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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Format: | Monograph |
Language: | English |
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Universiti Sains Malaysia
2017
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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. |
first_indexed | 2024-03-06T15:59:00Z |
format | Monograph |
id | usm.eprints-54411 |
institution | Universiti Sains Malaysia |
language | English |
last_indexed | 2024-03-06T15:59:00Z |
publishDate | 2017 |
publisher | Universiti Sains Malaysia |
record_format | dspace |
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 |