Heat transfer in fixed bed:: a model non-linearity approach

被引:19
|
作者
Thoméo, JC
Freire, JT
机构
[1] Univ Estadual Paulista, Dept Engn & Tecnol Alimentos, BR-15054000 SJ do Rio Preto, SP, Brazil
[2] Univ Fed Sao Carlos, Dept Engn Quim, BR-13565905 Sao Carlos, SP, Brazil
关键词
heat transfer; porous media; packed beds; pseudo-homogeneous model; parameter estimation; model non-linearity;
D O I
10.1016/S0009-2509(99)00465-0
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Studies have been carried out on the heat transfer in a packed bed of glass beads percolated by air at moderate flow rates. Rigorous statistic analysis of the experimental data was carried out and the traditional two parameter model was used to represent them. The parameters estimated were the effective radial thermal conductivity, k, and the wall coefficient, h, through the least squares method. The results were evaluated as to the boundary bed inlet temperature, T-o, number of terms of the solution series and number of experimental points used in the estimate. Results indicated that a small difference in T-o was sufficient to promote great modifications in the estimated parameters and in the statistical properties of the model. The use of replicas at points of high parametric information of the model improved the results, although analysis of the residuals has resulted in the rejection of this alternative. In order to evaluate cion-linearity of the model, Bates and Watts (1988) curvature measurements and the Box (1971) biases of the coefficients were calculated. The intrinsic curvatures of the model (IN) tend to be concentrated at low bed heights and those due to parameter effects (PE) are spread all over the bed. The Box biases indicated both parameters as responsible for the curvatures PE, h being somewhat more problematic. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:2329 / 2338
页数:10
相关论文
共 50 条
  • [21] A flexible non-linearity and decorrelating manifold approach to ICA
    Everson, R
    Roberts, S
    NEURAL NETWORKS FOR SIGNAL PROCESSING VIII, 1998, : 33 - 42
  • [22] BIHARMONIC HEAT EQUATION WITH GRADIENT NON-LINEARITY ON Lp SPACE
    Nguyen Huu Can
    Le Dinh Long
    Ho Duy Binh
    Nguyen Hoang Luc
    THERMAL SCIENCE, 2021, 25 : S359 - S365
  • [23] Curvaton dynamics and the non-linearity parameters in the curvaton model
    Huang, Qing-Guo
    Wang, Yi
    JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS, 2008, (09):
  • [24] A model of stiffness non-linearity in fibrous material dynamics
    Rice, HJ
    Torrance, AA
    Eikelman, G
    JOURNAL OF SOUND AND VIBRATION, 1998, 212 (02) : 375 - 381
  • [25] Non-linearity issues in the dynamic compact model generation
    Rencz, M
    Székely, V
    NINETEENTH ANNUAL IEEE SEMICONDUCTOR THERMAL MEASUREMENT AND MANAGEMENT SYMPOSIUM, 2003, : 263 - 270
  • [26] Linearity in calibration: Other tests for non-linearity
    Mark, H
    Workman, J
    SPECTROSCOPY, 2005, 20 (04) : 38 - 39
  • [27] HEAT TRANSFER IN FIXED BED REACTOR
    HORTIG, HP
    CHEMIE INGENIEUR TECHNIK, 1970, 42 (08) : 564 - &
  • [28] Analysis of the non-linearity of the heat transfer equation in case of a time-dependent heat source: application to the 3ω method
    Ding, T.
    Jannot, Y.
    Schick, V
    Degiovanni, A.
    JOURNAL OF ENGINEERING MATHEMATICS, 2020, 121 (01) : 85 - 99
  • [29] Non-linearity and exchange rates
    Fernandes, M
    JOURNAL OF FORECASTING, 1998, 17 (07) : 497 - 514
  • [30] Of Non-Linearity and Commutativity in BERT
    Zhao, Sumu
    Pascual, Damian
    Brunner, Gino
    Wattenhofer, Roger
    2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,