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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Main Author: Ngu, S.H
Format: Final Year Project Report / IMRAD
Language:English
Published: Universiti Malaysia Sarawak, UNIMAS 2004
Subjects:
Online Access:http://ir.unimas.my/id/eprint/2865/
http://ir.unimas.my/id/eprint/2865/8/NGU%20SIONG%20HO.pdf
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author Ngu, S.H
author_facet Ngu, S.H
author_sort Ngu, S.H
building UNIMAS Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-15T06:02:18Z
format Final Year Project Report / IMRAD
id unimas-2865
institution Universiti Malaysia Sarawak
institution_category Local University
language English
last_indexed 2025-11-15T06:02:18Z
publishDate 2004
publisher Universiti Malaysia Sarawak, UNIMAS
recordtype eprints
repository_type Digital Repository
spelling unimas-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 / IMRAD 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 / IMRAD] (Unpublished)
spellingShingle T Technology (General)
TJ Mechanical engineering and machinery
Ngu, S.H
In-process surface roughness recognition (ipsrr) system using acoustic emission (ae), part II
title 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_short 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
topic T Technology (General)
TJ Mechanical engineering and machinery
url http://ir.unimas.my/id/eprint/2865/
http://ir.unimas.my/id/eprint/2865/8/NGU%20SIONG%20HO.pdf