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Model-based prediction of the hydrodynamic radius of collapsed microgels and experimental validation
- Source :
- Chemical Engineering Journal. 378:121740
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Microgels are functional colloidal polymer networks with diverse applications. Various applications require microgels of different sizes. The microgel size is determined during the synthesis and depends among other conditions on the reactor type, reactor temperature, monomer-to-initiator ratio, cross-linker concentration, and surfactant concentration. While experimental data covering these synthesis conditions are available in literature, a model taking into account all of the above factors has not yet been proposed. We present a mechanistic model considering all of the above conditions that agrees with experimental data from various literature sources. The effect of surfactant type and concentration is included by addition of a term in the coagulation kinetics. The reactor type and Reynolds number in the reactor is accounted for with a semi-empirical parameter describing the kinetics of particle coagulation. This parameter is fitted to the data of one of the available experiments, while all other experiments are used for validation. The model predictions quantitatively match the experimental data for stirred batch reactors. For unstirred batch reactors, the agreement with the experimental data is only qualitative. The mechanistic model enables model-based design of functional microgels for new applications.
- Subjects :
- chemistry.chemical_classification
Materials science
Hydrodynamic radius
General Chemical Engineering
Kinetics
Experimental data
Reynolds number
02 engineering and technology
General Chemistry
Polymer
Mechanics
010402 general chemistry
021001 nanoscience & nanotechnology
01 natural sciences
Industrial and Manufacturing Engineering
0104 chemical sciences
symbols.namesake
Colloid
chemistry
symbols
Environmental Chemistry
Coagulation (water treatment)
Particle
0210 nano-technology
Subjects
Details
- ISSN :
- 13858947
- Volume :
- 378
- Database :
- OpenAIRE
- Journal :
- Chemical Engineering Journal
- Accession number :
- edsair.doi...........e0ac43205f4224ad93a5dc7ae7d5c88c