Non-contact approach of roundness inspection for machined parts / Azmi Mohamed
The geometrical tolerance verification of machined part is a process composed of a set of inspection procedures and rules that are complex, tedious and slow. The methods and instruments used to inspect geometrical tolerance of the parts are quite conventional and require a high skill and knowledge t...
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Institute of Graduate Studies, UiTM
2014
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Online Access: | http://ir.uitm.edu.my/id/eprint/19205/ http://ir.uitm.edu.my/id/eprint/19205/1/ABS_AZMI%20MOHAMED%20TDRA%20VOL%205%20IGS_14.pdf |
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uitm-192052018-06-12T02:05:14Z http://ir.uitm.edu.my/id/eprint/19205/ Non-contact approach of roundness inspection for machined parts / Azmi Mohamed Mohamed, Azmi Malaysia The geometrical tolerance verification of machined part is a process composed of a set of inspection procedures and rules that are complex, tedious and slow. The methods and instruments used to inspect geometrical tolerance of the parts are quite conventional and require a high skill and knowledge to assess the quality of the machined parts. For this reason, this research develop a method to effectively perform the inspection process by recommending non-contact approach using machine vision and new simple mathematical models that can be used for the creation of an inspection system to assist in the verification of an important form tolerance of machined parts. The main goal of this research is to develop method and procedure of roundness measurement that are simple to implement but at the same time is fast and effective to provide reliable technique that help the metrologist to make evaluation for the inspected parts. Institute of Graduate Studies, UiTM 2014 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19205/1/ABS_AZMI%20MOHAMED%20TDRA%20VOL%205%20IGS_14.pdf Mohamed, Azmi (2014) Non-contact approach of roundness inspection for machined parts / Azmi Mohamed. In: The Doctoral Research Abstracts. IPSis Biannual Publication, 5 (5). Institute of Graduate Studies, UiTM, Shah Alam. |
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UiTM Institutional Repository |
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language |
English |
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Malaysia |
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Malaysia Mohamed, Azmi Non-contact approach of roundness inspection for machined parts / Azmi Mohamed |
description |
The geometrical tolerance verification of machined part is a process composed of a set of inspection procedures and rules that are complex, tedious and slow. The methods and instruments used to inspect geometrical tolerance of the parts are quite conventional and require a high skill and knowledge to assess the quality of the machined parts. For this reason, this research develop a method to effectively perform the inspection process by recommending non-contact approach using machine vision and new simple mathematical models that can be used for the creation of an inspection system to assist in the verification of an important form tolerance of machined parts. The main goal of this research is to develop method and procedure of roundness measurement that are simple to implement but at the same time is fast and effective to provide reliable technique that help the metrologist to make evaluation for the inspected parts. |
format |
Book Section |
author |
Mohamed, Azmi |
author_facet |
Mohamed, Azmi |
author_sort |
Mohamed, Azmi |
title |
Non-contact approach of roundness inspection for machined parts / Azmi Mohamed |
title_short |
Non-contact approach of roundness inspection for machined parts / Azmi Mohamed |
title_full |
Non-contact approach of roundness inspection for machined parts / Azmi Mohamed |
title_fullStr |
Non-contact approach of roundness inspection for machined parts / Azmi Mohamed |
title_full_unstemmed |
Non-contact approach of roundness inspection for machined parts / Azmi Mohamed |
title_sort |
non-contact approach of roundness inspection for machined parts / azmi mohamed |
publisher |
Institute of Graduate Studies, UiTM |
publishDate |
2014 |
url |
http://ir.uitm.edu.my/id/eprint/19205/ http://ir.uitm.edu.my/id/eprint/19205/1/ABS_AZMI%20MOHAMED%20TDRA%20VOL%205%20IGS_14.pdf |
first_indexed |
2023-09-18T23:02:04Z |
last_indexed |
2023-09-18T23:02:04Z |
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1777418239127584768 |