Classification of steady-state and dynamic behavior of a well-mixed heterogeneous reactor model

被引:12
|
作者
Subramanian, S
Balakotaiah, V
机构
[1] Department of Chemical Engineering, University of Houston, Houston
关键词
D O I
10.1016/S0009-2509(96)00446-0
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Singularity theory is combined with the continuation technique to classify the steady-state and dynamic behavior of a well-mixed two-phase (catalytic) adiabatic reactor model. Due to the presence of boundary limit sets (corresponding to ignition or extinction of the particles at zero residence time) and boundary Hopf sets (corresponding to oscillatory behavior of the catalyst particles), the steady-state and dynamic behavior of the heterogeneous model is found to be profoundly different from that of the pseudohomogeneous model. It is observed that the values of the particle Lewis number, Le(p) (ratio of interphase heat to mass transfer coefficients), and the particle Damkohler number, Da(p), determine the regions where the pseudohomogeneous model predictions break down. For Le(p) greater than or equal to 1, the maximum temperature in both the solid and fluid phases is the adiabatic temperature rise. However, for Le(p) < 1, it is shown that the particles can ignite (at zero residence time) and the temperature in the solid phase can be as high as B/Le(p), where B is the adiabatic temperature rise. The maximum temperature in the fluid phase is always less than the adiabatic temperature rise. In addition, it is found that isolated high temperature branches can exist in the adiabatic reactor when Le(p) < 1. From the dynamic classification, it is observed that, for Le(p) > 1, both high- and low-temperature oscillations are likely to occur for practical values of the parameters. (C) 1997 Elsevier Science Ltd.
引用
收藏
页码:961 / 978
页数:18
相关论文
共 50 条
  • [41] On the steady-state behavior of a nonlinear power system model
    Gross, Dominic
    Arghir, Catalin
    Dorfler, Florian
    AUTOMATICA, 2018, 90 : 248 - 254
  • [42] Steady-state scheduling on heterogeneous clusters
    Beaumont, O
    Legrand, A
    Marchal, L
    Robert, Y
    INTERNATIONAL JOURNAL OF FOUNDATIONS OF COMPUTER SCIENCE, 2005, 16 (02) : 163 - 194
  • [43] Steady-state and transient behavior in dynamic atomic force microscopy
    Wagner, Tino
    JOURNAL OF APPLIED PHYSICS, 2019, 125 (04)
  • [44] On the steady-state behavior of a nonlinear power network model
    Arghir, Catalin
    Gross, Dominic
    Doerfler, Florian
    IFAC PAPERSONLINE, 2016, 49 (22): : 61 - 66
  • [45] Steady-State Dynamic Steering
    Marzbani, Hormoz
    Ahmad Salahuddin, Mohd Harithuddin
    Simic, Milan
    Fard, M.
    Jazar, Reza N.
    SMART DIGITAL FUTURES 2014, 2014, 262 : 493 - 504
  • [46] DYNAMIC AND STEADY-STATE STUDIES OF PHENOL BIODEGRADATION IN PURE AND MIXED CULTURES
    YANG, RD
    HUMPHREY, AE
    BIOTECHNOLOGY AND BIOENGINEERING, 1975, 17 (08) : 1211 - 1235
  • [47] Steady-state radiochemical transport model of the molten salt reactor experiment
    Shahbazi, Shayan
    Romano, Paul
    Fei, Tingzhou
    Grabaskas, David
    JOURNAL OF RADIOANALYTICAL AND NUCLEAR CHEMISTRY, 2022, 331 (12) : 5247 - 5257
  • [48] Description of the Steady-State Operation of a Biochemical Reactor Using a Diffusion Model
    Moshinskii A.I.
    Journal of Engineering Physics and Thermophysics, 2017, 90 (4) : 770 - 780
  • [49] A simplified model for the steady-state biofilm-activated sludge reactor
    Fouad, M
    Bhargava, R
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2005, 74 (03) : 245 - 253
  • [50] Steady-state radiochemical transport model of the molten salt reactor experiment
    Shayan Shahbazi
    Paul Romano
    Tingzhou Fei
    David Grabaskas
    Journal of Radioanalytical and Nuclear Chemistry, 2022, 331 : 5247 - 5257