scholarly journals Using Kinetic Modeling and Experimental Data to Evaluate Mechanisms in PET‐RAFT

2020 ◽  
Vol 58 (1) ◽  
pp. 139-144 ◽  
Author(s):  
Leah R. Kuhn ◽  
Michael L. Allegrezza ◽  
Nicholas J. Dougher ◽  
Dominik Konkolewicz
Keyword(s):  
Experimental Data ◽  
Kinetic Modeling

scholarly journals Kinetic Modeling and Degradation Study of Liquid Polysulfide Resin-Clay Nanocomposite

Molecules ◽  
2021 ◽  
Vol 26 (3) ◽  
pp. 635
Author(s):  
Mohamadreza Shakiba ◽  
Arash Kakoei ◽  
Iman Jafari ◽  
Erfan Rezvani Ghomi ◽  
Mohammadreza Kalaee ◽  
...  
Keyword(s):  
Experimental Data ◽  
Kinetic Modeling ◽  
Degradation Kinetics ◽  
Nitrogen Atmosphere ◽  
Gravimetric Analysis ◽  
Degradation Kinetic ◽  
Kinetic Evaluation ◽  
Degradation Study ◽  
Clay Nanoparticles ◽  
Conversion Rates

Kinetic modeling and degradation study of liquid polysulfide (LPS)/clay nanocomposite is possible through Ozawa–Flynn–Wall (OFW) and Kissinger methods. Comparing the results of these models with experimental data leads to provide an accurate degradation kinetic evaluation of these materials. To this aim, the morphology and distribution of clay nanoparticles (CNPs) within the LPS matrix were investigated using Field Emission Scanning Electron Microscopy (FESEM) and X-ray diffraction (XRD). To evaluate the interaction between the LPS and the CNPs, the Fourier transform infrared (FTIR) identification was utilized. Furthermore, to investigate the kinetics of degradation, the thermal gravimetric analysis (TGA) and derivative thermogravimetry (DTG) of the samples were used in the nitrogen atmosphere with the help of Kissinger and Ozawa–Flynn–Wall (OFW) models. The characterization results confirmed the homogenous dispersion of the CNPs into the LPS matrix. In addition, the presence of CNPs increased the thermal stability and activation energy (Ea) of the samples at different conversion rates. Moreover, the OFW method was highly consistent with the experimental data and provided an appropriate fit for the degradation kinetics.

Kinetic modeling and mechanistic investigations of transesterification of propylene carbonate with methanol over an Fe–Mn double metal cyanide catalyst

2020 ◽  
Vol 5 (1) ◽  
pp. 101-111
Author(s):  
Ziwei Song ◽  
Bala Subramaniam ◽  
Raghunath V. Chaudhari
Keyword(s):  
Experimental Data ◽  
Kinetic Model ◽  
Propylene Carbonate ◽  
Kinetic Modeling ◽  
Reaction Parameters ◽  
Metal Cyanide ◽  
Wide Range ◽  
Mechanistic Investigations ◽  
Activation Sequence

A kinetic model involving the activation sequence of reactants PC, methanol and an intermediate provides the best description of the experimental data with respect to reaction parameters over a wide range of conditions.

Experimental data and kinetic modeling of primary reference fuel mixtures

1996 ◽  
Vol 26 (1) ◽  
pp. 739-746 ◽  
Author(s):  
C.V. Callahan ◽  
T.J. Held ◽  
F.L. Dryer ◽  
R. Minetti ◽  
M. Ribaucour ◽  
...  
Keyword(s):  
Experimental Data ◽  
Kinetic Modeling ◽  
Primary Reference ◽  
Fuel Mixtures

Kinetic Modeling of 2-Keto-Gluconic Acid (2KGA) Production from Rice Starch Hydrolysate Using Pseudomonas fluorescens AR4

2012 ◽  
Vol 550-553 ◽  
pp. 1144-1150
Author(s):  
Wen Jing Sun ◽  
Lin Yu ◽  
Si Lian Yu ◽  
Feng Jie Cui ◽  
Yan Zheng Zhou ◽  
...  
Keyword(s):  
Experimental Data ◽  
Pseudomonas Fluorescens ◽  
Kinetic Modeling ◽  
Kinetic Models ◽  
Logistic Model ◽  
Model Simulation ◽  
Culture Broth ◽  
Rice Starch ◽  
Batch Production ◽  
Starch Hydrolysate

Kinetic models are proposed for the 2KGA batch production from rice starch hydrolysate containing 162 g/L of glucose by Pseudomonas fluorescens AR4. The models include terms accounting for both substrate and product inhibitions. Experimental data collected from the batch fermentations were used to estimate parameters and also to validate the models proposed. The growth of Ps. fluorescens could be expressed by a Logistic model wihout incorporating inhibitions of glucose and organic acids accumulated in the culture broth. The Luedeking–Piret model was able to describe the 2KGA formation as the fermentation proceeded with a mixed-growth-associated pattern. In all cases, the model simulation matched well with the experimental observations, which made it possible to elucidate the fermentation characteristics of Ps. fluorescens AR4 during efficient 2KGA production from glucose.

Inert Gas Influence on Propagation Velocity of Methane-air Laminar Flames

2018 ◽  
Vol 69 (1) ◽  
pp. 196-200 ◽  
Author(s):  
Maria Mitu ◽  
Venera Giurcan ◽  
Domnina Razus ◽  
Dumitru Oancea
Keyword(s):  
Experimental Data ◽  
Kinetic Modeling ◽  
Early Stage ◽  
Pressure Rise ◽  
Laminar Flames ◽  
Inert Gas ◽  
Spherical Vessel ◽  
Pressure Time ◽  
Expansion Coefficients ◽  
Propagation Velocities

The flame propagation in methane-air mixtures diluted by inert additives (He, Ar, N2, CO2) was studied by means of pressure-time records of laminar deflagrations occurring in a spherical vessel with central ignition. Experiments were made using mixtures with various equivalence ratios between 0.610 and 1.310 and various inert concentrations between 5 and 25 vol%, at various initial pressures between 50 and 200 kPa. Examination of pressure-time records in the early stage of explosions delivered the normal burning velocities Su via the coefficients of the cubic law of pressure rise, using a previously described procedure. The propagation velocities (or the flame speed) were calculated from the normal burning velocities using the expansion coefficients of the unburnt gas during the isobaric combustion. The propagation velocities of examined systems obtained from experimental data were examined against the propagation velocities obtained from kinetic modeling of methane-air-inert combustion by means of 1D COSILAB package using the GRI 3.0 mechanism.

Kinetic Modeling of E. coli Enzymes: Integration of in vitro Experimental Data

2009 ◽  
pp. 177-207 ◽  
Author(s):  
Ekaterina A. Mogilevskaya ◽  
Kirill V. Peskov ◽  
Eugeniy A. Metelkin ◽  
Galina V. Lebedeva ◽  
Tatiana Y. Plyusnina ◽  
...  
Keyword(s):  
Experimental Data ◽  
Kinetic Modeling ◽  
E Coli

Simplified Kinetic Modeling of Propane Aromatization over Ga-ZSM-5 Zeolites: Comparison with Experimental Data

2017 ◽  
Vol 56 (37) ◽  
pp. 10309-10317 ◽  
Author(s):  
Massimo Migliori ◽  
Alfredo Aloise ◽  
Enrico Catizzone ◽  
Alessio Caravella ◽  
Girolamo Giordano
Keyword(s):  
Experimental Data ◽  
Kinetic Modeling ◽  
Propane Aromatization ◽  
Comparison With Experimental Data

scholarly journals Using Kinetic Modeling and Experimental Data to Evaluate Mechanisms in PET‐RAFT

2019 ◽  
Vol 58 (1) ◽  
pp. 139-144 ◽  
Author(s):  
Leah R. Kuhn ◽  
Michael L. Allegrezza ◽  
Nicholas J. Dougher ◽  
Dominik Konkolewicz
Keyword(s):  
Experimental Data ◽  
Kinetic Modeling
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