The Possibility of Applying Acoustic Emission Method to Optimize Determination of Milling Parameters

Author:

Dudzik Krzysztof1

Affiliation:

1. Marine Maintenance Department, Gdynia Maritime University, Morska, POLAND

Abstract

Nowadays acoustic emission (AE) method is used in many fields of science, including in thediagnosis and monitoring of machining processes such as turning, grinding, milling, etc. Monitoring of millingprocess allows to ensure stable conditions of treatment. Stable conditions of milling process have a great impacton 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 wascarried out on a universal FUW3157 III milling machine using end mills made of HSS. Tools were in differentstages 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. Themilling 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 signalmeasurement sensor type VS 150M, with a frequency range 100 – 450 kHz, computer with AE Win for USBVersion E5.30 software for recording and analysing AE data. During the study, the acoustic emission signalsgenerated 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 ofacoustic emission method for monitoring milling process and determining the parameters to ensure stableconditions of that process and the same to obtain a high quality surface

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Subject

Artificial Intelligence,General Mathematics,Control and Systems Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Experimental Determination of Grinding Parameters using a Ball Mill with Innovative Lifters;WSEAS TRANSACTIONS ON APPLIED AND THEORETICAL MECHANICS;2023-09-25

2. The Combination of Taguchi and Proximity Indexed Value Methods for Multi-criteria Decision Making When Milling;International Journal of Mechanics;2021-08-27

3. Underwater Acoustic Localization Based on IR-GCC-PHAT in Reverberant Environments;International Journal of Circuits, Systems and Signal Processing;2021-03-12

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