Kinetic parameter estimation from TGA: Optimal design of TGA experiments

被引:29
|
作者
Dirion, Jean-Louis [1 ]
Reverte, Cedric [1 ]
Cabassud, Michel [2 ]
机构
[1] Univ Toulouse, RAPSODEE UMR CNRS 2392, F-81013 Albi, France
[2] CNRS INPT UPS, Lab Genie Chim, UMR 5503, F-31106 Toulouse 1, France
关键词
thermal gravimetric analysis; kinetics; parameter identification; experimental design; cardboard;
D O I
10.1016/j.cherd.2008.02.001
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
This work presents a general methodology to determine kinetic models of solid thermal decomposition with thermogravimetric analysis (TGA) instruments. The goal is to determine a simple and robust kinetic model for a given solid with the minimum of TGA experiments. From this last point of view, this work can be seen as an attempt to find the optimal design of TGA experiments for kinetic modelling. Two computation tools were developed. The first is a nonlinear parameter estimation procedure for identifying parameters in nonlinear dynamical models. The second tool computes the thermogravimetric experiment (here, the programmed temperature profile applied to the thermobalance) required in order to identify the best kinetic parameters, i.e. parameters with a higher statistical reliability. The combination of the two tools can be integrated in an iterative approach generally called sequential strategy. The application concerns the thermal degradation of cardboard in a Setaram TGA instrument and the results that are presented demonstrate the improvements in the kinetic parameter estimation process. (C) 2008 The Institution of Chemical Engineers. Published by Elsevier B.V All rights reserved.
引用
收藏
页码:618 / 625
页数:8
相关论文
共 50 条
  • [41] TGA/MS/FT-IR study for kinetic evaluation and evolved gas analysis of a biomass/PVC co-pyrolysis process
    Ozsin, Gamzenur
    Putun, Ayse Eren
    ENERGY CONVERSION AND MANAGEMENT, 2019, 182 : 143 - 153
  • [42] Optimal inputs and sensitivities for parameter estimation in bioreactors
    Lu, Lili
    JOURNAL OF MATHEMATICAL CHEMISTRY, 2010, 47 (03) : 1154 - 1176
  • [43] Achievable accuracy of parameter estimation for multidimensional NMR experiments
    Ober, RJ
    Lin, ZP
    Ye, H
    Ward, ES
    JOURNAL OF MAGNETIC RESONANCE, 2002, 157 (01) : 1 - 16
  • [44] Comparing experimental design schemes in predictive food microbiology: Optimal parameter estimation of secondary models
    Mertens, Laurence
    Van Derlinden, Eva
    Van Impe, Jan F.
    JOURNAL OF FOOD ENGINEERING, 2012, 112 (03) : 119 - 133
  • [45] An hypothesis paper - Iterative method for kinetic parameter estimation from dynamic thermal treatments
    Welt, BA
    Teixeira, AA
    Balaban, MO
    Smerage, GH
    Sage, DS
    JOURNAL OF FOOD SCIENCE, 1997, 62 (01) : 8 - 14
  • [46] Thermogravimetric analysis-mass spectrometry (TGA-MS) of hydromagnesite from Dujiali Lake in Tibet, China
    Lin, Yongjie
    Zheng, Mianping
    Ye, Chuanyong
    Power, Ian M.
    JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, 2018, 133 (03) : 1429 - 1437
  • [47] D-optimal designs for sorption kinetic experiments: Cylinders
    Munson-McGee, Stuart H.
    Mannarswamy, Aravind
    Andersen, Paul K.
    JOURNAL OF FOOD ENGINEERING, 2011, 104 (02) : 202 - 207
  • [48] D-optimal designs for sorption kinetic experiments: Slabs
    Munson-McGee, Stuart H.
    Mannarswamy, Aravind
    Andersen, Paul K.
    JOURNAL OF FOOD ENGINEERING, 2011, 104 (03) : 461 - 466
  • [49] Parameter Estimation of Kinetic Model Equations for Chemical Leaching of Coal
    Sriramoju, Santosh Kumar
    Suresh, A.
    Dash, Pratik Swarup
    Banerjee, P. K.
    CHEMICAL PRODUCT AND PROCESS MODELING, 2014, 9 (02): : 133 - 141
  • [50] Kinetic Modeling and Parameter Estimation of a Prebiotic Peptide Reaction Network
    Boigenzahn, Hayley
    Gonzalez, Leonardo D.
    Thompson, Jaron C.
    Zavala, Victor M.
    Yin, John
    JOURNAL OF MOLECULAR EVOLUTION, 2023, 91 (05) : 730 - 744