Milling tool condition monitoring using acoustic emission

Citation

Chockalingam, Palanisamy and Mhd Noor, Ervina Efzan and Natarajan, C. (2018) Milling tool condition monitoring using acoustic emission. ARPN Journal of Engineering and Applied Sciences, 13 (7). pp. 2671-2673. ISSN 1819-6608

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Abstract

Milling of T6-6061 aluminium alloy material is a complex and challenging process due to the difficulties in finding the optimum milling process parameters for achieving the desirable properties such as surface roughness and optimum tool life. The parameters selection is generally based on the skill and knowledge of the technicians involved and number of time consuming trial and error runs. The experiment presented involved measuring the acoustic emission during the milling experiment with different spindle speeds and feed rates. It has been found that spindle speeds and feed rates have the highest effect on the cutting of the aluminium alloy thus also influencing the tool wear.

Item Type: Article
Uncontrolled Keywords: Milling-machines, milling, tool, aluminium, acoustic.
Subjects: T Technology > TJ Mechanical Engineering and Machinery > TJ1125-1345 Machine shops and machine shop practice
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 23 Nov 2020 18:49
Last Modified: 23 Nov 2020 18:49
URII: http://shdl.mmu.edu.my/id/eprint/7431

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