TY - JOUR
T1 - Error of Measuring Surface Temperature of Turbine Blades With the Influence of Reflection by Monochromatic Method
AU - Ji, Jie
AU - Wang, Botao
AU - Yang, Yu
AU - Liang, Tao
AU - Ding, Ming
N1 - Publisher Copyright:
© 1963-2012 IEEE.
PY - 2023
Y1 - 2023
N2 - A new method is proposed for correcting the error of monochromatic method in measuring the surface temperature of turbine blades with the influence of reflection. The measurement error caused by surrounding components was numerically investigated. The effects of background temperature, adjacent rotor blades, front stator vanes, and rear stator vanes on the temperature measurement error are described in detail. Furthermore, the corrected errors of high emissivity and low emissivity are compared and analyzed and the influence of the relative displacement between the turbine blade and the hot-end component on the temperature measurement error is also discussed. Benefiting from the proposed radiation-based error correction method (RECM), we can reduce the monochromatic temperature measurement error to less than 0.3% at high emissivity and less than 0.8% at low emissivity theoretically. Finally, the RECM method is studied experimentally, and the results show that the temperature measurement error can be corrected to better than 0.6%, which is in good agreement with the Monte Carlo simulation (MCS) results.
AB - A new method is proposed for correcting the error of monochromatic method in measuring the surface temperature of turbine blades with the influence of reflection. The measurement error caused by surrounding components was numerically investigated. The effects of background temperature, adjacent rotor blades, front stator vanes, and rear stator vanes on the temperature measurement error are described in detail. Furthermore, the corrected errors of high emissivity and low emissivity are compared and analyzed and the influence of the relative displacement between the turbine blade and the hot-end component on the temperature measurement error is also discussed. Benefiting from the proposed radiation-based error correction method (RECM), we can reduce the monochromatic temperature measurement error to less than 0.3% at high emissivity and less than 0.8% at low emissivity theoretically. Finally, the RECM method is studied experimentally, and the results show that the temperature measurement error can be corrected to better than 0.6%, which is in good agreement with the Monte Carlo simulation (MCS) results.
KW - Error analysis
KW - finite-element method (FEM)
KW - pyrometer
KW - reflected radiation
KW - temperature measurement
UR - https://www.scopus.com/pages/publications/85159695414
U2 - 10.1109/TIM.2023.3269110
DO - 10.1109/TIM.2023.3269110
M3 - 文章
AN - SCOPUS:85159695414
SN - 0018-9456
VL - 72
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
M1 - 1004012
ER -