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Close-to-process strain measurement in ultrasonic vibration-assisted turning
- Source :
- Journal of Sensors and Sensor Systems, Vol 8, Pp 285-292 (2019)
- Publication Year :
- 2019
-
Abstract
- The application of ultrasonic vibration assistance in machining offers many benefits over conventional machining. In some machining processes, like the generation of geometrically defined microstructures by cutting, the interaction of the system components and the machining process can be particularly crucial with respect to the production result. Monitoring of ultrasonic vibration-assisted machining in terms of the in-process measurement of frequency and amplitude is currently realized by measurement inside the actuator; thus, measurement is presently undertaken relatively far away from the cutting process. In this paper an in-process measurement set-up based on strain gauges positioned close to the cutting edges is presented. It is used to investigate the induced vibration in the ultrasonic horn. Experiments on machine samples with and without ultrasonic vibration assistance are performed using the in-process measurement set-up described. The results of the strain gauges are analysed in comparison to internal feedback signal and surface measurements. The experiments show the high sensitivity of the measurement set-up presented and a huge gain of information compared with the conventional measurement approach. This enables improved controllability of the excited mode shapes as well as in-process adjustment of the ultrasonic vibration frequency and amplitude for the manufacturing of defined microstructures.
- Subjects :
- 010302 applied physics
0209 industrial biotechnology
Materials science
lcsh:T
Acoustics
02 engineering and technology
lcsh:Technology
01 natural sciences
Signal
Vibration
Ultrasonic horn
020901 industrial engineering & automation
Machining
0103 physical sciences
Ultrasonic sensor
Sensitivity (control systems)
Electrical and Electronic Engineering
Actuator
Instrumentation
Strain gauge
Subjects
Details
- Language :
- English
- ISSN :
- 2194878X
- Database :
- OpenAIRE
- Journal :
- Journal of Sensors and Sensor Systems, Vol 8, Pp 285-292 (2019)
- Accession number :
- edsair.doi.dedup.....91aae6ea945aede69410b41ba9f6e8ff