TY - GEN
T1 - Coupled mechanical and electromagnetic modeling of eddy current sensors
AU - Jamia, Nidhal
AU - Friswell, Michael I.
AU - El-Borgi, Sami
AU - Rajendran, Prakash
N1 - Publisher Copyright:
© 2017 International Center for Numerical Methods in Engineering. All rights reserved.
PY - 2017
Y1 - 2017
N2 - To effectively monitor the vibration of blades in a rotating machine, a non-contacting method called blade tip-timing (BTT) has been used. The method is based on the analysis of the differential arrival times of the blades at sensors mounted on the stator to characterize the vibration amplitude and frequency of the blades. These sensors can also provide blade tip clearance measurement. A combination of these data can provide a robust condition monitoring approach for the early detection of blade cracks. Eddy current sensors (ECS) have shown great potential to assess the health of an engine without any need for direct access to the blade and therefore they are insensitive to the presence of any type of contaminant. Also, both tip timing and tip clearance of each blade could be measured by these sensors in real time and at high resolution. ECSs measure the magnetic field caused by eddy currents during the blade motion, and hence are a coupled mechanical and electromagnetic problem. An ECS on the casing of a machine has been modeled to fully understand how the dynamic response of the blade is measured by the sensors. Detailed 2-D and 3-D modeling and simulation of a rotating simplified bladed disk passing an ECS is presented. The effect of the variation of the rotation speed and the gap between the sensor and the blade tip on the accuracy of the measurement is investigated. Such an analysis will enable the reliable monitoring of blade damage during engine operation.
AB - To effectively monitor the vibration of blades in a rotating machine, a non-contacting method called blade tip-timing (BTT) has been used. The method is based on the analysis of the differential arrival times of the blades at sensors mounted on the stator to characterize the vibration amplitude and frequency of the blades. These sensors can also provide blade tip clearance measurement. A combination of these data can provide a robust condition monitoring approach for the early detection of blade cracks. Eddy current sensors (ECS) have shown great potential to assess the health of an engine without any need for direct access to the blade and therefore they are insensitive to the presence of any type of contaminant. Also, both tip timing and tip clearance of each blade could be measured by these sensors in real time and at high resolution. ECSs measure the magnetic field caused by eddy currents during the blade motion, and hence are a coupled mechanical and electromagnetic problem. An ECS on the casing of a machine has been modeled to fully understand how the dynamic response of the blade is measured by the sensors. Detailed 2-D and 3-D modeling and simulation of a rotating simplified bladed disk passing an ECS is presented. The effect of the variation of the rotation speed and the gap between the sensor and the blade tip on the accuracy of the measurement is investigated. Such an analysis will enable the reliable monitoring of blade damage during engine operation.
KW - Blade tip clearance
KW - Blade tip-timing
KW - Coupled mechanical and electromagnetic problem
KW - Eddy current sensors
KW - Rotating bladed disk
UR - http://www.scopus.com/inward/record.url?scp=85045392412&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85045392412
T3 - Proceedings of the 7th International Conference on Coupled Problems in Science and Engineering, COUPLED PROBLEMS 2017
SP - 357
EP - 368
BT - Proceedings of the 7th International Conference on Coupled Problems in Science and Engineering, COUPLED PROBLEMS 2017
A2 - Papadrakakis, Manolis
A2 - Onate, Eugenio
A2 - Schrefler, Bernhard A.
PB - International Center for Numerical Methods in Engineering
T2 - 7th International Conference on Coupled Problems in Science and Engineering, COUPLED PROBLEMS 2017
Y2 - 12 June 2017 through 14 June 2017
ER -