The relationship between acoustic emission signals and cutting phenomena in turning process

The development of intelligent manufacturing by using machine tools is advancing in leaps and bounds. To maintain accuracy in machining and in the interests of fail-safe operation, monitoring of the cutting state or the final machining is very important. Acoustic emissions (AE) comprise elastic stre...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2014-02, Vol.70 (5-8), p.947-955
Main Authors: Hase, Alan, Wada, Masaki, Koga, Toshihiko, Mishina, Hiroshi
Format: Article
Language:English
Subjects:
Acoustic emission
CAE) and Design
Cermets
Chip formation
Computer-Aided Engineering (CAD
Correlation
Cutting
Elastic deformation
Engineering
Feed rate
Industrial and Production Engineering
Intelligent manufacturing systems
Machine tools
Mechanical Engineering
Media Management
Original Article
Production planning
Signal processing
Stress waves
Surface roughness
Tool wear
Turning (machining)
Workpieces
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Summary:The development of intelligent manufacturing by using machine tools is advancing in leaps and bounds. To maintain accuracy in machining and in the interests of fail-safe operation, monitoring of the cutting state or the final machining is very important. Acoustic emissions (AE) comprise elastic stress waves produced as a result of the deformation and fracture of materials. By measuring the AE generated during a turning process, it is possible to estimate the state of the machining operation. The correlation between cutting phenomena and AE in a turning process was examined experimentally by using a steel workpiece and a cermet tool in a numerically controlled turning process. The process of formation of chips, the types of chip, and the shear angle all markedly affected the AE signals. There was a strong negative correlation between the shear angle and the AE signal level. Similar results were obtained for various feed rates and for workpieces of various degrees of hardness. Correlations related to surface roughness and to tool wear are also described that permit the evaluation of the state of the turning process.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-013-5335-9