Quantification of nanoparticle dispersion within polymer matrix using gap statistics - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Materials Research Express Année : 2019

Quantification of nanoparticle dispersion within polymer matrix using gap statistics

Résumé

This study was prompted by the inadequacy of most dispersion quantification techniques to address issues pertaining to scalability, implementation complexity, accuracy/error, uncertainty factors and versatility. Therefore, a method for quantifying dispersion based on gap statistics was developed. A dispersion quantity (D) was formulated from a Gap factor ( G 0 ) , Particle spacing dispersity (PSD 1 ) and Particle size dispersity (PSD 2 ) factors. The summation of the factors resulted in the dispersion parameter (D p ) which must be equal to one for an ideal or uniformly distributed condition. The state of dispersion increases as D→100%. The concept was tested with simulated models having uniform dispersion, random dispersion, small aggregate, three large aggregate and one large aggregate were successfully quantified to show 99.34%, 82.42%, 34.17%, 8.95% and 3.65% respectively. For validation of concept, the state of dispersion when samples with (scenario 1) and without (scenario 4) silane treatment were quantified as 32,02% and 7.72% respectively. The concepts were then validated using real microscopy images. This approach is robust, versatile and easy to implement.
Fichier principal
Vignette du fichier
I2M_MRE_2019_PERRY (1.05 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-02283772 , version 1 (11-09-2019)

Identifiants

Citer

Kwame Anane-Fenin, Esther Tililabi Akinlabi, Nicolas Perry. Quantification of nanoparticle dispersion within polymer matrix using gap statistics. Materials Research Express, 2019, 6 (7), pp.075310. ⟨10.1088/2053-1591/ab1106⟩. ⟨hal-02283772⟩
29 Consultations
216 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More