Thermogravimetry and Thermomagnetometry

Gallagher, P. K.

doi:10.1016/s1573-4374(98)80007-1

Cited by 18 publications

(12 citation statements)

References 42 publications

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“…The model [eqn (9)] is considered to be a ‘model‐free’ equation because no terms proportional to reaction fraction of constituents are present and it is extensively used for calculations of the evaporation activation energy E . Thermogravimetric analysis was utilized to understand the mechanism and kinetics of evaporation of the solvents from the gel networks 66–68…”

Section: Resultsmentioning

confidence: 99%

Mechanism of solvent entrapment within the network scaffolding in organogels: thermodynamic and kinetic investigations

Markovic

Ginic‐Markovic

Dutta

2003

Polymer International

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A detailed investigation on the thermodynamic behaviour of the physical and chemical organogels, using differential scanning calorimetry (DSC) and modulated thermogravimetric analysis (MTGA), is presented. Aluminium soap of fatty acid was used as the physical gelator and in situ crosslinking of siloxane copolymer was used for chemical gelation. The effects of the type and concentration of the gelators and the corresponding mesh‐size distribution of the gel network scaffolding on the trapped‐solvent crystallization, melting and evaporation mechanism, and kinetics are examined. It appears that the kinetics of crystallization of the trapped‐solvent are significantly affected by the quality of the gel network scaffolding and can be treated successfully by the Avrami equation of crystallization. From the melting behaviour of the entrapped‐solvent crystallites, quantitative information about the number of solvent molecules bound per molecule of the gelator has been extracted. The effect of gelation network structure on the kinetics of evaporation of the solvent from the gel network scaffolding has been evaluated. DSC appears to be the reliable technique to evaluate the population distribution of solvent molecules trapped in the gel network scaffolding. Copyright © 2003 Society of Chemical Industry

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Section: Resultsmentioning

confidence: 99%

Mechanism of solvent entrapment within the network scaffolding in organogels: thermodynamic and kinetic investigations

Markovic

Ginic‐Markovic

Dutta

2003

Polymer International

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“…The data in table 1 disclose that the increase of the heating rate leads to an increase in the maximum peak temperatures [29]. The maximum mass loss rate (Tmax) for SMC has been occurred at 288.07, 294.88, 298.27 and 309.04 °C at heating rates of 10, 15, 20 and 30 °C/min.…”

Section: Nonisothermal Decomposition Behavior Of Smcmentioning

confidence: 89%

“…The second major thermal degradation occurs in a short interval of temperature, between 250 and 375 °C. This step could be associated with breaking the bond associated to functional groups and weak groups in the chain and unfastening of cellulose chain into smaller unit [29,30]. The last degradation step of SMC is not observed with a maximum peak in the DTG curve.…”

Section: Nonisothermal Decomposition Behavior Of Smcmentioning

confidence: 96%

“…The thermal events are only slightly dislocated to higher temperature values with higher heating rates. This phenomenon is characteristic of the equipment, which detects the events in higher temperatures with higher heating rates [29]. The thermal degradation process of the SMC takes place as a three steps of mass losses.…”

Section: Nonisothermal Decomposition Behavior Of Smcmentioning

confidence: 99%

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Thermal decomposition kinetics of sodium carboxymethyl cellulose: Model-free methods

2014

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“…all influences of internal and external mass and thermal transfer are neglected and the sample is assumed to follow the programmed temperature of the thermobalance perfectly and to have a uniform temperature. However, sources of error related to the temperature undoubtedly exist: the placement and the accuracy of the thermocouple, the thermal lag between the sensor and the sample, and the effect of heats of reaction (Gallagher, 1998). Some authors have demonstrated the influence of experimental conditions (for example, Völker andRieckmann, 2002, or Roduit et al, 1996).…”

Section: Direct Problem: Kinetic Modelmentioning

confidence: 99%

Kinetic parameter estimation from TGA: Optimal design of TGA experiments

Dirion

Reverte

Cabassud

2008

Chemical Engineering Research and Design

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. 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.

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Thermogravimetry and Thermomagnetometry

Cited by 18 publications

References 42 publications

Mechanism of solvent entrapment within the network scaffolding in organogels: thermodynamic and kinetic investigations

Mechanism of solvent entrapment within the network scaffolding in organogels: thermodynamic and kinetic investigations

Thermal decomposition kinetics of sodium carboxymethyl cellulose: Model-free methods

Kinetic parameter estimation from TGA: Optimal design of TGA experiments

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