Machinability metallic materials estimation based on acoustic emission of turning

An experimental study of the possibility of using the acoustic emission signal during turning to assess the machinability of steel by cutting has been carried out. According to the results of previous studies, it has been shown that the use of the total acoustic energy of the cutting process to asse...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-04, Vol.1889 (4), p.42072
Main Authors: Khripunov, N V, Gorshkov, B M, Samokhina, N S
Format: Article
Language:English
Subjects:
Acoustic emission testing
Acoustics
Broadband
Chemical composition
Criteria
Cutting parameters
Cutting speed
Cutting wear
Emission analysis
Fatigue tests
Machinability
Mechanical properties
Physics
Signal processing
Tool holders
Tool wear
Turning (machining)
Wear resistance
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Summary:An experimental study of the possibility of using the acoustic emission signal during turning to assess the machinability of steel by cutting has been carried out. According to the results of previous studies, it has been shown that the use of the total acoustic energy of the cutting process to assess the machinability does not have sufficient resolution. The article presents the results of measurements of the acoustic emission signal in comparison with the results of measuring the tool wear during resistance tests. A group of samples of six steels with a known chemical composition and mechanical properties were used as materials. The group includes steels that differ a priori in machinability and steels whose machinability cannot be predicted in advance. Endurance tests were carried out for face turning with a tool made of highspeed steel with a variable cutting speed. The maximum height of the wear area in the direction perpendicular to the cutting edge was used as a criterion for machinability. The acquisition of the acoustic emission signal was carried out by a broadband sensor built into the tool holder with a preamplifier of 60 dB and a bandwidth of 50...1000 kHz. The integral energy characteristic of the RMS signal is used as a criterion for predicting the processability. As a result of the experiments, it was found that the use of an acoustic emission signal has a good resolution in assessing the machinability by turning steels.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1889/4/042072