SAM
https://sam.ensam.eu:443
The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material.Sun, 23 Feb 2020 04:06:03 GMT2020-02-23T04:06:03ZQuantification of nanoparticle dispersion within polymer matrix using gap statistics
http://hdl.handle.net/10985/16595
Quantification of nanoparticle dispersion within polymer matrix using gap statistics
ANANE-FENIN, Kwame; AKINLABI, Esther Tililabi; PERRY, Nicolas
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.
Tue, 01 Jan 2019 00:00:00 GMThttp://hdl.handle.net/10985/165952019-01-01T00:00:00ZANANE-FENIN, KwameAKINLABI, Esther TililabiPERRY, NicolasThis 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.