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Online monitoring of polymer nanoparticle growth as valuable tool in the development of paint and adhesive dispersions: Presentation held at ATIPIC/BPG Workshop, Leuven, February 22, 2018

By Antje Lieske and Roland Hass

Abstract

The efficient implementation of synthesis concepts into robust and reproducible emulsion polymerization processes requires a reliable process control, ideally also with respect to an inline monitoring of polymer nanoparticle growth. If critical process parameters like e.g. emulsification of the monomers, particle formation, colloidal stability during processing, heat flux, and viscosity are monitored inline and continuously, an increased understanding of the polymerization process is achieved, resulting in safe and cost-optimal processes and feedback control strategies. Fine-tuning of product properties like viscosity, film formation, hydrophobicity or adhesive strength of dispersion paints or adhesives usually requires modifications in recipe and/or synthesis process. However, these modifications will also influence other process characteristics like particle nucleation and growth or polymerization rates. Technologies which provide information about these features might improve process control and hence product quality. To date only a limited number of process analytical technologies, suitable for high concentrations of nanoparticles, exist. The recently developed Photon Density Wave (PDW) spectroscopy allows for the precise and calibration-free characterization of the optical properties of particles and droplets during their processing. Its fundamental benefit - the quantitative separation of light absorption and light scattering - enables particle sizing also in highly concentrated polymer dispersions (> 40 vol%), in diameter ranges of approx. 50 nm 500 μm. The contribution will introduce PDW spectroscopy and discuss its benefits based on the monitoring of polymerization processes like the synthesis of highly concentrated functionalized polyvinylacetate adhesives

Year: 2018
OAI identifier: oai:fraunhofer.de:N-525621
Provided by: Fraunhofer-ePrints
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