Quantitative assessment of nanofiller dispersion based on grayscale image analysis: A case study on epoxy/carbon nanocomposites

Quantitative evaluation of nanoparticle dispersion based on modeling methods and image analysis: A case study on nano‐Sb2O3 filled Poly (butylene terephthalate) composites

“…[ 5 ] These excellent properties of polymer‐matrix nanocomposites mainly benefit from the nanofillers, which possess several favorable physical and chemical properties, including large volume to area ratio, quantum size effect, high ultraviolet absorption, high surface energy, and good stability. [ 6 ] The large surface area is one of the exclusive properties of nanoparticles, which contributes to a large interfacial interaction areas and creates various attractive properties in nanocomposites. [ 7,8 ] Eventually, the nanocomposites show many substantial properties such as large hardness, high modulus, and resistant to chemical corrosion by adding a little content of nanoparticles (below 5 wt%).…”

“…[ 9,10 ] Due to the strong correlation between properties and microstructures of composites, the state of dispersion is one of the key parameters in the synthesis polymer‐matrix nanocomposites and plays an important role in improving the performances of polymer nanocomposites. [ 6,11–14 ] For the purpose of easy‐fabricated and low‐cost products, the optimization of nanocomposites has been carried out by improving the dispersion state of fillers and interfacial adhesion between nanoparticles and polymer matrix. [ 4,15 ] Numerous studies showed that the polymer‐matrix composites with optimal physical, electrical, thermal, and mechanical properties were obtained by improving the dispersion states of fillers.…”

“…Generally, nanoparticles dispersed in polymer matrixes can be quantitatively characterized by using two methods, including direct methods and indirect methods. [ 6,12,25–28 ] The direct methods are based on micrograph analysis. In addition, the indirect methods involve modeling prediction, which mainly rely on the mechanical properties of nanocomposites.…”

Quantitative evaluation of fillers dispersion state in CaCO3/polypropylene composites through visualization and fractal analysis

“…Li et al obtained the dispersion index of the filler in the matrix by the automatic identification of the internal filling of the image by software, based on the distance between the probability density distribution function of the sample image and the probability density distribution function of the uniformity. Federica Zaccardi et al developed a new method for determining the dispersion index by using the algorithm implemented by MATLAB on basis optical images and successfully applied to epoxy/carbon nanocomposites. Although the dispersion index can effectively quantify the dispersion state of the fillers in the matrix, its acquisition process is often too complicated.…”

Multiscale Composites: Assessment of a Feasible Manufacturing Process

“…Nanomaterials, especially carbon nanofibers or nanotubes, have a strong tendency to agglomerate. Therefore, the purpose of the dispersion process is to break the agglomerates in order to keep the individual nanomaterials separated and to distribute them uniformly inside the polymer [12]. The difficulty of the dispersion process increases with the growth of the relative surfaces of the nanostructure defined as aspect ratio.…”