Monitoring of the surface roughness by using acoustic emission analysis during end milling process

Monitoring of the surface roughness by using acoustic emission analysis during end milling process

Surface roughness of Aluminium Alloy 6061 has been investigated under different cutting condition by using Aoustic Emission (AE) sensor in milling operation. The experiment has shown that AE components are effectively respond to the change of occurrences in milling process.Three controllable factors...

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Bibliographic Details
Main Author: Intan Yasmin, Ismail
Format: Undergraduates Project Papers
Language:English
English
English
English
Published: 2016
Subjects:
T Technology (General)
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/16300/
http://umpir.ump.edu.my/id/eprint/16300/
http://umpir.ump.edu.my/id/eprint/16300/1/Monitoring%20of%20the%20surface%20roughness%20by%20using%20acoustic%20emission%20analysis%20during%20end%20milling%20process-Table%20of%20contents-FKP-Intan%20Yasmin%20Ismail-CD%2010413.pdf
http://umpir.ump.edu.my/id/eprint/16300/2/Monitoring%20of%20the%20surface%20roughness%20by%20using%20acoustic%20emission%20analysis%20during%20end%20milling%20process-Abstract-FKP-Intan%20Yasmin%20Ismail-CD%2010413.pdf
http://umpir.ump.edu.my/id/eprint/16300/13/Monitoring%20of%20the%20surface%20roughness%20by%20using%20acoustic%20emission%20analysis%20during%20end%20milling%20process-Chapter%201-FKP-Intan%20Yasmin%20Ismail-CD%2010413.pdf
http://umpir.ump.edu.my/id/eprint/16300/19/Monitoring%20of%20the%20surface%20roughness%20by%20using%20acoustic%20emission%20analysis%20during%20end%20milling%20process-References-FKP-Intan%20Yasmin%20Ismail-CD%2010413.pdf
id ump-16300
recordtype eprints
spelling ump-163002017-01-24T03:27:11Z http://umpir.ump.edu.my/id/eprint/16300/ Monitoring of the surface roughness by using acoustic emission analysis during end milling process Intan Yasmin, Ismail T Technology (General) TS Manufactures Surface roughness of Aluminium Alloy 6061 has been investigated under different cutting condition by using Aoustic Emission (AE) sensor in milling operation. The experiment has shown that AE components are effectively respond to the change of occurrences in milling process.Three controllable factors are used as machining parameter. They are cutting speed, feed rate and depth of cut. The workpiece is clamped tightly on the workbench of milling machine and the AE sensor (PK15i) is mounted on top at the end of workpiece. The tool material used is 20mm 4 flute high speed steel cutting tool. All data collected from the AE sensor are displayed in AEWin and analysed in MATLAB software. Fast Fourier Transform (FFT) method is used to convert time domain into frequency domain signal and hence the rms, amplitude and frequency could be calculated. The surface roughness of the workpiece is measured by using Surfcom 130A. The results indicated that the most of the cutting parameter that influenced the surface roughness is feed rate, followed by cutting speed, and finally depth of cut. 2016-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/16300/1/Monitoring%20of%20the%20surface%20roughness%20by%20using%20acoustic%20emission%20analysis%20during%20end%20milling%20process-Table%20of%20contents-FKP-Intan%20Yasmin%20Ismail-CD%2010413.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/16300/2/Monitoring%20of%20the%20surface%20roughness%20by%20using%20acoustic%20emission%20analysis%20during%20end%20milling%20process-Abstract-FKP-Intan%20Yasmin%20Ismail-CD%2010413.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/16300/13/Monitoring%20of%20the%20surface%20roughness%20by%20using%20acoustic%20emission%20analysis%20during%20end%20milling%20process-Chapter%201-FKP-Intan%20Yasmin%20Ismail-CD%2010413.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/16300/19/Monitoring%20of%20the%20surface%20roughness%20by%20using%20acoustic%20emission%20analysis%20during%20end%20milling%20process-References-FKP-Intan%20Yasmin%20Ismail-CD%2010413.pdf Intan Yasmin, Ismail (2016) Monitoring of the surface roughness by using acoustic emission analysis during end milling process. Faculty of Manufacturing Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:98394&theme=UMP2
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
English
English
topic T Technology (General)
TS Manufactures
spellingShingle T Technology (General)
TS Manufactures
Intan Yasmin, Ismail
Monitoring of the surface roughness by using acoustic emission analysis during end milling process
description Surface roughness of Aluminium Alloy 6061 has been investigated under different cutting condition by using Aoustic Emission (AE) sensor in milling operation. The experiment has shown that AE components are effectively respond to the change of occurrences in milling process.Three controllable factors are used as machining parameter. They are cutting speed, feed rate and depth of cut. The workpiece is clamped tightly on the workbench of milling machine and the AE sensor (PK15i) is mounted on top at the end of workpiece. The tool material used is 20mm 4 flute high speed steel cutting tool. All data collected from the AE sensor are displayed in AEWin and analysed in MATLAB software. Fast Fourier Transform (FFT) method is used to convert time domain into frequency domain signal and hence the rms, amplitude and frequency could be calculated. The surface roughness of the workpiece is measured by using Surfcom 130A. The results indicated that the most of the cutting parameter that influenced the surface roughness is feed rate, followed by cutting speed, and finally depth of cut.
format Undergraduates Project Papers
author Intan Yasmin, Ismail
author_facet Intan Yasmin, Ismail
author_sort Intan Yasmin, Ismail
title Monitoring of the surface roughness by using acoustic emission analysis during end milling process
title_short Monitoring of the surface roughness by using acoustic emission analysis during end milling process
title_full Monitoring of the surface roughness by using acoustic emission analysis during end milling process
title_fullStr Monitoring of the surface roughness by using acoustic emission analysis during end milling process
title_full_unstemmed Monitoring of the surface roughness by using acoustic emission analysis during end milling process
title_sort monitoring of the surface roughness by using acoustic emission analysis during end milling process
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/16300/
http://umpir.ump.edu.my/id/eprint/16300/
http://umpir.ump.edu.my/id/eprint/16300/1/Monitoring%20of%20the%20surface%20roughness%20by%20using%20acoustic%20emission%20analysis%20during%20end%20milling%20process-Table%20of%20contents-FKP-Intan%20Yasmin%20Ismail-CD%2010413.pdf
http://umpir.ump.edu.my/id/eprint/16300/2/Monitoring%20of%20the%20surface%20roughness%20by%20using%20acoustic%20emission%20analysis%20during%20end%20milling%20process-Abstract-FKP-Intan%20Yasmin%20Ismail-CD%2010413.pdf
http://umpir.ump.edu.my/id/eprint/16300/13/Monitoring%20of%20the%20surface%20roughness%20by%20using%20acoustic%20emission%20analysis%20during%20end%20milling%20process-Chapter%201-FKP-Intan%20Yasmin%20Ismail-CD%2010413.pdf
http://umpir.ump.edu.my/id/eprint/16300/19/Monitoring%20of%20the%20surface%20roughness%20by%20using%20acoustic%20emission%20analysis%20during%20end%20milling%20process-References-FKP-Intan%20Yasmin%20Ismail-CD%2010413.pdf
first_indexed 2023-09-18T22:21:50Z
last_indexed 2023-09-18T22:21:50Z
_version_ 1777415707739291648

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