Details
| Original language | English |
|---|---|
| Pages (from-to) | 422-427 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 58 |
| Publication status | Published - 31 May 2017 |
| Event | 16th CIRP Conference on Modelling of Machining Operations, CIRP CMMO 2017 - Cluny, France Duration: 15 Jun 2017 → 16 Jun 2017 |
Abstract
Using conventional grinding wheels, self-excited vibrations are one of the most limiting factors in terms of productivity and process stability in cylindrical plunge grinding. Depending on the dynamic behavior of the workpiece and machine, vibrations of the workpiece copy on the grinding wheel's surface, caused by uneven wear. This results in increasing waviness of the grinding wheel and by that, increasing workpiece vibration. Electromagnetic actuators are capable of influencing the dynamic process forces and therefore, the wear. The authors pursue the objective, to achieve an active control of the tool wear for low workpiece vibration and high workpiece quality. Therefore, a tool-wear-model which enables the estimation of the grinding wheel's surface is proposed. The parameterization of the model is realized carrying out a set of reference processes with subsequent identification. Aside from the dynamic tool wear, the workpiece oscillation is simulated by the model. A Kalman Filter is utilized to adjust the model onto the current process using the measured workpiece oscillation. Thus, it is possible to achieve an online estimation of the wave amplitude and phase angle on the grinding wheel's surface as well as their progression.
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. 58, 31.05.2017, p. 422-427.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Estimation of Dynamic Grinding Wheel Wear in Plunge Grinding
AU - Ahrens, M.
AU - Damm, J.
AU - Dagen, M.
AU - Denkena, B.
AU - Ortmaier, T.
N1 - Funding information: Research Foundation (DFG)
PY - 2017/5/31
Y1 - 2017/5/31
N2 - Using conventional grinding wheels, self-excited vibrations are one of the most limiting factors in terms of productivity and process stability in cylindrical plunge grinding. Depending on the dynamic behavior of the workpiece and machine, vibrations of the workpiece copy on the grinding wheel's surface, caused by uneven wear. This results in increasing waviness of the grinding wheel and by that, increasing workpiece vibration. Electromagnetic actuators are capable of influencing the dynamic process forces and therefore, the wear. The authors pursue the objective, to achieve an active control of the tool wear for low workpiece vibration and high workpiece quality. Therefore, a tool-wear-model which enables the estimation of the grinding wheel's surface is proposed. The parameterization of the model is realized carrying out a set of reference processes with subsequent identification. Aside from the dynamic tool wear, the workpiece oscillation is simulated by the model. A Kalman Filter is utilized to adjust the model onto the current process using the measured workpiece oscillation. Thus, it is possible to achieve an online estimation of the wave amplitude and phase angle on the grinding wheel's surface as well as their progression.
AB - Using conventional grinding wheels, self-excited vibrations are one of the most limiting factors in terms of productivity and process stability in cylindrical plunge grinding. Depending on the dynamic behavior of the workpiece and machine, vibrations of the workpiece copy on the grinding wheel's surface, caused by uneven wear. This results in increasing waviness of the grinding wheel and by that, increasing workpiece vibration. Electromagnetic actuators are capable of influencing the dynamic process forces and therefore, the wear. The authors pursue the objective, to achieve an active control of the tool wear for low workpiece vibration and high workpiece quality. Therefore, a tool-wear-model which enables the estimation of the grinding wheel's surface is proposed. The parameterization of the model is realized carrying out a set of reference processes with subsequent identification. Aside from the dynamic tool wear, the workpiece oscillation is simulated by the model. A Kalman Filter is utilized to adjust the model onto the current process using the measured workpiece oscillation. Thus, it is possible to achieve an online estimation of the wave amplitude and phase angle on the grinding wheel's surface as well as their progression.
KW - Grinding
KW - Modelling
KW - Monitoring
KW - Regenerative Chatter
UR - http://www.scopus.com/inward/record.url?scp=85029749814&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2017.03.247
DO - 10.1016/j.procir.2017.03.247
M3 - Conference article
AN - SCOPUS:85029749814
VL - 58
SP - 422
EP - 427
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
T2 - 16th CIRP Conference on Modelling of Machining Operations, CIRP CMMO 2017
Y2 - 15 June 2017 through 16 June 2017
ER -