Volume 7, Issue 4, December 2018, Page: 118-127
Formulation of Aqueous Dispersions of PEKK by a Quantitative Structure Property Relationship Approach and Application to Thermoplastic Sizing on Carbon Fibers
Mike Alexandre, Institute of Technology Antoine de Saint Exupéry, Toulouse, France; Interactions Moléculaires Réactivité Chimique et Photochimique Laboratory, Toulouse University, Toulouse, France; Centre Interuniversitaire de Recherche et d’Ingénierie des Matériaux, Toulouse University, Toulouse, France
Emile Perez, Centre Interuniversitaire de Recherche et d’Ingénierie des Matériaux, Toulouse University, Toulouse, France
Colette Lacabanne, Centre Interuniversitaire de Recherche et d’Ingénierie des Matériaux, Toulouse University, Toulouse, France
Eric Dantras, Centre Interuniversitaire de Recherche et d’Ingénierie des Matériaux, Toulouse University, Toulouse, France
Sophie Franceschi, Centre Interuniversitaire de Recherche et d’Ingénierie des Matériaux, Toulouse University, Toulouse, France
Damien Coudeyre, Institute of Technology Antoine de Saint Exupéry, Toulouse, France
Jean-Christophe Garrigues, Interactions Moléculaires Réactivité Chimique et Photochimique Laboratory, Toulouse University, Toulouse, France
Received: Nov. 6, 2018;       Accepted: Nov. 26, 2018;       Published: Dec. 18, 2018
DOI: 10.11648/j.am.20180704.14      View  43      Downloads  15
Abstract
The development of formulations for thermoplastic sizing on carbon fibers requires water dispersions of small polymer particles (< 20 µm). PolyEtherKetoneKetone (PEKK) is a high-performance polymer used as a matrix in Carbon Fiber Reinforced Polymers (CFRP) or as a sizing agent. To limit the formulation steps and the use of organic solvents, the sonofragmentation process can be used to deagglomerate polymers, directly in the final aqueous formulation. The sonofragmentation process is controlled by multiple parameters and, in order to identify the key parameters, a quantitative structure property relationship (QSPR) study was performed using artificial neural networks (ANN). The 40 formulations of this study were characterized with the aim of quantifying the sonofragmentation effect. Various physicochemical techniques were used: Photon Correlation Spectroscopy (PCS), destabilization velocity of the dispersions by analytical centrifugation, and scanning electron microscopy. The results obtained showed that only two parameters (mass concentration of surfactant and duration of sonication) had a notable effect on the sonofragmentation process. By controlling these two parameters, it was possible to define a design space in the stability domain of the formulations and to calculate a sonofragmentation efficiency (ϕ) for four singular zones. Image analysis showed that the sonofragmentation process was accompanied by an increase in the number of particles with Particle size (Ps) < 20 µm. In optimized aqueous formulations, the majority of particles should have Ps < 20 µm.
Keywords
Processing Technologies, Quantitative Structure Property Relationship, Aqueous Formulations, Polymer Composites, Thermoplastic Sizing, PEKK, Artificial Neural Network
To cite this article
Mike Alexandre, Emile Perez, Colette Lacabanne, Eric Dantras, Sophie Franceschi, Damien Coudeyre, Jean-Christophe Garrigues, Formulation of Aqueous Dispersions of PEKK by a Quantitative Structure Property Relationship Approach and Application to Thermoplastic Sizing on Carbon Fibers, Advances in Materials. Vol. 7, No. 4, 2018, pp. 118-127. doi: 10.11648/j.am.20180704.14
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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