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.
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Abstract
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.
| Item Type: | Undergraduates Project Papers |
|---|---|
| Additional Information: | Theses Gred B; Project Paper (Bachelor of Engineering in Mechatronis Engineering (Hons.)) -- Universiti Malaysia Pahang – 2016 |
| Uncontrolled Keywords: | milling operation; surface roughness; Aoustic Emission |
| Subjects: | T Technology > T Technology (General) T Technology > TS Manufactures |
| Faculty/Division: | Faculty of Manufacturing Engineering |
| Depositing User: | Ms. Nurezzatul Akmal Salleh |
| Date Deposited: | 24 Jan 2017 03:27 |
| Last Modified: | 07 Nov 2022 10:01 |
| URI: | http://umpir.ump.edu.my/id/eprint/16300 |
| Download Statistic: | View Download Statistics |
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