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...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолч: Intan Yasmin, Ismail
Формат: Undergraduates Project Papers
Хэл сонгох:English
Хэвлэсэн: 2016
Нөхцлүүд:
Онлайн хандалт:http://umpir.ump.edu.my/id/eprint/16300/1/Monitoring%20of%20the%20surface%20roughness%20by%20using%20acoustic%20emission%20analysis%20during%20end%20milling%20process-CD%2010413.pdf
Тодорхойлолт
Тойм: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.