Cover Image

Machines condition analysis based on output machining parameter and vibration signal monitoring

Master of Science in Manufacturing Systems Engineering

Saved in:
Bibliographic Details
Main Author: Mohd Shuhidan, Saleh
Other Authors: Rosmaini, Ahmad, Dr.
Format: Dissertation
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2015
Subjects:
Milling-machines
Milling machinery
Vibration
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72309
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-72309
record_format dspace
spelling my.unimap-723092021-10-04T07:32:09Z Machines condition analysis based on output machining parameter and vibration signal monitoring Mohd Shuhidan, Saleh Rosmaini, Ahmad, Dr. Milling-machines Milling machinery Vibration Master of Science in Manufacturing Systems Engineering This dissertation reports an investigation on the machine condition for a group of similar milling machines based on vibration signal and surface roughness quality. This study is motivated by an issue in maintenance field where an appropriate technique has to be applied to monitor the condition of a machine. In this work, the machining system studied are the group of milling machines within the laboratory in the School of Manufacturing Engineering, Universiti Malaysia Perlis. To further understand the subject of studies, the extensive literatures has been done related to condition monitoring, vibration analysis and also the effect to the surface roughness. The application of fishbone analysis in identifying the possible causes of the problem also has been included in the review. In this work, the vibration level have been measured at three different points of the machines (ram, spindle and vertical head). These vibration level is then analysed to determine the causes of inaccuracy in the machining quality. From the experimental results, it is found that surface quality is strongly affected by the vibration. Machine 2 is found in critical state due to the highest level of vibration as compared to the other machines. Machine 1 and 8 have demonstrated the unusual condition where the vibration level is moderate however the surface roughness value is high and does not synonym to vibration trend. In the present work, the root cause for vibration and poor surface quality are performed by using fishbone analysis for the affected machine. The findings are discussed and the conclusions reached in this project and recommendations for future work are enclosed 2015 2021-10-04T07:32:09Z 2021-10-04T07:32:09Z Dissertation http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72309 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Manufacturing Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Milling-machines
Milling machinery
Vibration
spellingShingle Milling-machines
Milling machinery
Vibration
Mohd Shuhidan, Saleh
Machines condition analysis based on output machining parameter and vibration signal monitoring
description Master of Science in Manufacturing Systems Engineering
author2 Rosmaini, Ahmad, Dr.
author_facet Rosmaini, Ahmad, Dr.
Mohd Shuhidan, Saleh
format Dissertation
author Mohd Shuhidan, Saleh
author_sort Mohd Shuhidan, Saleh
title Machines condition analysis based on output machining parameter and vibration signal monitoring
title_short Machines condition analysis based on output machining parameter and vibration signal monitoring
title_full Machines condition analysis based on output machining parameter and vibration signal monitoring
title_fullStr Machines condition analysis based on output machining parameter and vibration signal monitoring
title_full_unstemmed Machines condition analysis based on output machining parameter and vibration signal monitoring
title_sort machines condition analysis based on output machining parameter and vibration signal monitoring
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2015
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72309
_version_ 1724609874415845376
score 13.219503

Similar Items