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.
Published in | Advances in Materials (Volume 7, Issue 4) |
DOI | 10.11648/j.am.20180704.14 |
Page(s) | 118-127 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2018. Published by Science Publishing Group |
Processing Technologies, Quantitative Structure Property Relationship, Aqueous Formulations, Polymer Composites, Thermoplastic Sizing, PEKK, Artificial Neural Network
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APA Style
Mike Alexandre, Emile Perez, Colette Lacabanne, Eric Dantras, Sophie Franceschi, et al. (2018). Formulation of Aqueous Dispersions of PEKK by a Quantitative Structure Property Relationship Approach and Application to Thermoplastic Sizing on Carbon Fibers. Advances in Materials, 7(4), 118-127. https://doi.org/10.11648/j.am.20180704.14
ACS Style
Mike Alexandre; Emile Perez; Colette Lacabanne; Eric Dantras; Sophie Franceschi, et al. Formulation of Aqueous Dispersions of PEKK by a Quantitative Structure Property Relationship Approach and Application to Thermoplastic Sizing on Carbon Fibers. Adv. Mater. 2018, 7(4), 118-127. doi: 10.11648/j.am.20180704.14
AMA Style
Mike Alexandre, Emile Perez, Colette Lacabanne, Eric Dantras, Sophie Franceschi, et al. Formulation of Aqueous Dispersions of PEKK by a Quantitative Structure Property Relationship Approach and Application to Thermoplastic Sizing on Carbon Fibers. Adv Mater. 2018;7(4):118-127. doi: 10.11648/j.am.20180704.14
@article{10.11648/j.am.20180704.14, author = {Mike Alexandre and Emile Perez and Colette Lacabanne and Eric Dantras and Sophie Franceschi and Damien Coudeyre and Jean-Christophe Garrigues}, title = {Formulation of Aqueous Dispersions of PEKK by a Quantitative Structure Property Relationship Approach and Application to Thermoplastic Sizing on Carbon Fibers}, journal = {Advances in Materials}, volume = {7}, number = {4}, pages = {118-127}, doi = {10.11648/j.am.20180704.14}, url = {https://doi.org/10.11648/j.am.20180704.14}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.am.20180704.14}, abstract = {The development of formulations for thermoplastic sizing on carbon fibers requires water dispersions of small polymer particles (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) Ps < 20 µm.}, year = {2018} }
TY - JOUR T1 - Formulation of Aqueous Dispersions of PEKK by a Quantitative Structure Property Relationship Approach and Application to Thermoplastic Sizing on Carbon Fibers AU - Mike Alexandre AU - Emile Perez AU - Colette Lacabanne AU - Eric Dantras AU - Sophie Franceschi AU - Damien Coudeyre AU - Jean-Christophe Garrigues Y1 - 2018/12/18 PY - 2018 N1 - https://doi.org/10.11648/j.am.20180704.14 DO - 10.11648/j.am.20180704.14 T2 - Advances in Materials JF - Advances in Materials JO - Advances in Materials SP - 118 EP - 127 PB - Science Publishing Group SN - 2327-252X UR - https://doi.org/10.11648/j.am.20180704.14 AB - The development of formulations for thermoplastic sizing on carbon fibers requires water dispersions of small polymer particles (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) Ps < 20 µm. VL - 7 IS - 4 ER -