In-process surface roughness recognition (ipsrr) system using acoustic emission (ae), part II
Ramp-up is a most important step in the implementation of manufacturing systems, and is even more significant in re configurable manufacturing systems. For a successful reduction in ramp-up time, it is essential to analyze and monitor both the overall manufacturing system and the individual machine...
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Format: | Final Year Project Report |
Language: | English |
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Universiti Malaysia Sarawak, UNIMAS
2004
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Online Access: | http://ir.unimas.my/id/eprint/2865/8/NGU%20SIONG%20HO.pdf http://ir.unimas.my/id/eprint/2865/ |
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my.unimas.ir.28652024-01-22T08:18:25Z http://ir.unimas.my/id/eprint/2865/ In-process surface roughness recognition (ipsrr) system using acoustic emission (ae), part II Ngu, S.H T Technology (General) TJ Mechanical engineering and machinery Ramp-up is a most important step in the implementation of manufacturing systems, and is even more significant in re configurable manufacturing systems. For a successful reduction in ramp-up time, it is essential to analyze and monitor both the overall manufacturing system and the individual machine tool or processes that comprise the system. Towards the whole project, we have to deal with the issue of monitoring surface roughness using acoustic emission to enable faulty conditions related with surface roughness to be recognized during the process before the quality of end product out of specification. Universiti Malaysia Sarawak, UNIMAS 2004 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/2865/8/NGU%20SIONG%20HO.pdf Ngu, S.H (2004) In-process surface roughness recognition (ipsrr) system using acoustic emission (ae), part II. [Final Year Project Report] (Unpublished) |
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T Technology (General) TJ Mechanical engineering and machinery Ngu, S.H In-process surface roughness recognition (ipsrr) system using acoustic emission (ae), part II |
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Ramp-up is a most important step in the implementation of manufacturing systems, and is even more significant in re configurable manufacturing systems. For a successful reduction in ramp-up time, it is essential to analyze and monitor both the overall manufacturing system and the individual machine tool or processes that comprise the system. Towards the whole project, we have to deal with the issue of monitoring surface roughness using acoustic emission to enable faulty conditions related with surface roughness to be recognized during the process before the quality of end product out of specification. |
format |
Final Year Project Report |
author |
Ngu, S.H |
author_facet |
Ngu, S.H |
author_sort |
Ngu, S.H |
title |
In-process surface roughness recognition (ipsrr) system using acoustic emission (ae), part II |
title_short |
In-process surface roughness recognition (ipsrr) system using acoustic emission (ae), part II |
title_full |
In-process surface roughness recognition (ipsrr) system using acoustic emission (ae), part II |
title_fullStr |
In-process surface roughness recognition (ipsrr) system using acoustic emission (ae), part II |
title_full_unstemmed |
In-process surface roughness recognition (ipsrr) system using acoustic emission (ae), part II |
title_sort |
in-process surface roughness recognition (ipsrr) system using acoustic emission (ae), part ii |
publisher |
Universiti Malaysia Sarawak, UNIMAS |
publishDate |
2004 |
url |
http://ir.unimas.my/id/eprint/2865/8/NGU%20SIONG%20HO.pdf http://ir.unimas.my/id/eprint/2865/ |
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1789430248664727552 |
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13.211869 |