Details
| Original language | English |
|---|---|
| Pages (from-to) | 374-378 |
| Number of pages | 5 |
| Journal | Procedia CIRP |
| Volume | 8 |
| Publication status | Published - 3 Jul 2013 |
| Event | 14th CIRP Conference on Modeling of Machining Operations, CIRP CMMO 2013 - Turin, Italy Duration: 13 Jun 2013 → 14 Jun 2013 |
Abstract
Using conventional grinding wheels, wheel-sided chatter vibration is one of the limiting factors in terms of productivity and surface finish. Initial vibration related to the dynamic behavior of the machine tool copy on the grinding wheel and its amplitude amplifies by abrasion. To ensure high workpiece quality many expensive truing cycles are needed. In this context, we suggest a new set-up for the automatic chatter detection and elimination for external cylindrical grinding machines, reducing not only the high amount of true running cycles, but also improving the efficiency. In order to suppress the generation of the waviness on the grinding wheel the effect has to be identified during an early stage of its development. Therefore, a grinding machine is equipped with different types of sensors, i.e., eddy current, force, acoustic emission, acceleration sensors, and a tactile probe. Experimental results show, that exclusively measuring the displacement at the workpiece is sufficient for online computing wheel's waviness. Based on a model of the grinding process the other redundant sensors are used for validation. In addition, a robust online chatter detector based on the wavelet transformation is developed recognizing an instable grinding process. This model-based detection and estimation of waviness delivers solid results, it should be used for suppression of chatter in further work.
Keywords
- Grinding, Modelling, Monitoring, Regenerative chatter
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Procedia CIRP, Vol. 8, 03.07.2013, p. 374-378.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Abrasion Monitoring and Automatic Chatter Detection in Cylindrical Plunge Grinding
AU - Ahrens, M.
AU - Fischer, R.
AU - Dagen, M.
AU - Denkena, B.
AU - Ortmaier, T.
PY - 2013/7/3
Y1 - 2013/7/3
N2 - Using conventional grinding wheels, wheel-sided chatter vibration is one of the limiting factors in terms of productivity and surface finish. Initial vibration related to the dynamic behavior of the machine tool copy on the grinding wheel and its amplitude amplifies by abrasion. To ensure high workpiece quality many expensive truing cycles are needed. In this context, we suggest a new set-up for the automatic chatter detection and elimination for external cylindrical grinding machines, reducing not only the high amount of true running cycles, but also improving the efficiency. In order to suppress the generation of the waviness on the grinding wheel the effect has to be identified during an early stage of its development. Therefore, a grinding machine is equipped with different types of sensors, i.e., eddy current, force, acoustic emission, acceleration sensors, and a tactile probe. Experimental results show, that exclusively measuring the displacement at the workpiece is sufficient for online computing wheel's waviness. Based on a model of the grinding process the other redundant sensors are used for validation. In addition, a robust online chatter detector based on the wavelet transformation is developed recognizing an instable grinding process. This model-based detection and estimation of waviness delivers solid results, it should be used for suppression of chatter in further work.
AB - Using conventional grinding wheels, wheel-sided chatter vibration is one of the limiting factors in terms of productivity and surface finish. Initial vibration related to the dynamic behavior of the machine tool copy on the grinding wheel and its amplitude amplifies by abrasion. To ensure high workpiece quality many expensive truing cycles are needed. In this context, we suggest a new set-up for the automatic chatter detection and elimination for external cylindrical grinding machines, reducing not only the high amount of true running cycles, but also improving the efficiency. In order to suppress the generation of the waviness on the grinding wheel the effect has to be identified during an early stage of its development. Therefore, a grinding machine is equipped with different types of sensors, i.e., eddy current, force, acoustic emission, acceleration sensors, and a tactile probe. Experimental results show, that exclusively measuring the displacement at the workpiece is sufficient for online computing wheel's waviness. Based on a model of the grinding process the other redundant sensors are used for validation. In addition, a robust online chatter detector based on the wavelet transformation is developed recognizing an instable grinding process. This model-based detection and estimation of waviness delivers solid results, it should be used for suppression of chatter in further work.
KW - Grinding
KW - Modelling
KW - Monitoring
KW - Regenerative chatter
UR - http://www.scopus.com/inward/record.url?scp=84881158336&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2013.06.119
DO - 10.1016/j.procir.2013.06.119
M3 - Conference article
AN - SCOPUS:84881158336
VL - 8
SP - 374
EP - 378
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
T2 - 14th CIRP Conference on Modeling of Machining Operations, CIRP CMMO 2013
Y2 - 13 June 2013 through 14 June 2013
ER -