WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 15, 2020
(Special Issue: Advanced Control and Diagnosis Systems in Mechatronic Engineering, https://www.wseas.org/cms.action?id=23210, Organizer - Guest Editor: Prof. Jerzy Garus) The Possibility of Applying Acoustic Emission Method to Optimize Determination of Milling Parameters
Author:
Abstract: Nowadays acoustic emission (AE) method is used in many fields of science, including in the diagnosis and monitoring of machining processes such as turning, grinding, milling, etc. Monitoring of milling process allows to ensure stable conditions of treatment. Stable conditions of milling process have a great impact on the quality of the surface. There are different methods used for monitoring machining processes, i.e. dynamometer methods, thermography, vibrations measurement, acoustic emission, etc. The research was carried out on a universal FUW3157 III milling machine using end mills made of HSS. Tools were in different stages of wear. The research was carried out at constant rotational speed and variable other cutting parameters, i.e. feed, depth of cut. Milling process was performed on a sheet made of EN AW-7020 aluminium alloy. The milling process was monitored by an acoustic emission set made by Physical Acoustics Corporation (PAC). The PAC system consists of: preamplifier USB AE Node, type 1283 with bandpass 20 kHz – 1 MHz, AE signal measurement sensor type VS 150M, with a frequency range 100 – 450 kHz, computer with AE Win for USB Version E5.30 software for recording and analysing AE data. During the study, the acoustic emission signals generated during milling process were recorded and then chosen parameters were analyzed e. g.: amplitude, number of events - hits, the effective value of the signal (RMS). The study can be the basis for the use of acoustic emission method for monitoring milling process and determining the parameters to ensure stable conditions of that process and the same to obtain a high quality surface.
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Pages: 302-310
DOI: 10.37394/23203.2020.15.31