Experimental investigation of emissivity of aluminum alloys and application of multispectral radiation thermometry

被引:55
|
作者
Wen, Chang-Da [1 ]
Chai, Tzung-Yuan [1 ]
机构
[1] Natl Cheng Kung Univ, Dept Mech Engn, Tainan 701, Taiwan
关键词
Aluminum; Emissivity; Temperature measurement; Multispectral radiation thermometry; NONCONTACT TEMPERATURE-MEASUREMENT; MULTIWAVELENGTH PYROMETRY; MONTE-CARLO;
D O I
10.1016/j.applthermaleng.2011.04.005
中图分类号
O414.1 [热力学];
学科分类号
摘要
Experiments were first conducted to measure the emissivity values of a variety of aluminum alloys at 600, 700, and 800 K. The effects of wavelength, temperature, alloy composition, and heating time on emissivity were investigated. Multispectral radiation thermometry (MRT) with linear emissivity models (LEM) and log-linear emissivity models (LLE) were then applied to predict surface temperature. Parametric influences of wavelength number, heating time and order of emissivity models were examined. Results show that the spectral emissivity decreases with increasing wavelength and increases with increasing temperature. A stronger alloy effect is evident at higher temperature. The spectral emissivity reaches steady state after the first hour heating due to the surface oxidation becoming fully-developed. Half of the temperature predictions by MRT emissivity models provide the absolute temperature error under 10% and quarter of the results are under 5%. Increasing the order of emissivity model and increasing the number of wavelengths cannot improve temperature measurement accuracy. Overall. LLE models show higher accuracy than LEM models. The first-order and second-order LLE models and the first-order LEM model give good results most frequently and provide the best compensation for different alloys, the number of wavelengths, and temperatures. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2414 / 2421
页数:8
相关论文
共 50 条
  • [31] Application of multispectral radiation thermometry in temperature measurement of thermal barrier coated surfaces
    Daniel, Ketui
    Feng, Chi
    Gao, Shan
    MEASUREMENT, 2016, 92 : 218 - 223
  • [32] The Influence of Multispectral Radiation Thermometry by Mie Scattering
    Ning, Chengda
    Jing, Xianyong
    Sun, Yuanyuan
    Lan, Zhihuan
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND INTELLIGENT SYSTEMS (ICMEIS 2015), 2015, 26 : 779 - 783
  • [33] Automatic emissivity measurement setup for industrial radiation thermometry
    Schmidt, V
    Meitzner, S
    Sandring, H
    King, P
    TEMPERATURE: ITS MEASUREMENT AND CONTROL IN SCIENCE AND INDUSTRY, VOL 7, PTS 1 AND 2, 2003, 684 : 723 - 728
  • [34] Radiation Thermometry and Emissivity Measurements Under Vacuum at the PTB
    C. Monte
    B. Gutschwager
    S. P. Morozova
    J. Hollandt
    International Journal of Thermophysics, 2009, 30
  • [35] A Multivariate Emissivity Database for Industrial Infrared Radiation Thermometry
    Chalkley, E.
    SENSORS AND ELECTRONIC INSTRUMENTATION ADVANCES (SEIA' 19), 2019, : 123 - 125
  • [36] Radiation Thermometry and Emissivity Measurements Under Vacuum at the PTB
    Monte, C.
    Gutschwager, B.
    Morozova, S. P.
    Hollandt, J.
    INTERNATIONAL JOURNAL OF THERMOPHYSICS, 2009, 30 (01) : 203 - 219
  • [37] RADIATION THERMOMETRY .2. SOLVING EMISSIVITY PROBLEM
    NUTTER, GD
    MECHANICAL ENGINEERING, 1972, 94 (07) : 12 - &
  • [38] Application of BP neural network in multispectral thermometry
    Sun, XG
    Dai, JM
    Cong, DC
    Chu, ZX
    PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 3, 2002, : 707 - 711
  • [39] Review of multispectral radiation thermometry data processing algorithms
    Huang, Hairui
    Zhang, Zezhan
    Niu, Yi
    Zhang, Chuanwu
    Jiang, Jing
    INFRARED PHYSICS & TECHNOLOGY, 2023, 129
  • [40] On the effects of temperature dependence of spectral emissivity in industrial radiation thermometry
    Saunders, P
    HIGH TEMPERATURES-HIGH PRESSURES, 2001, 33 (05) : 599 - 610