An Efficient Quantified Stereological Macrodispersion Analysis Approach for Determining Microscale Influences on Nanocomposite Material Properties

Lively, Brooks; Zhong, Wei‐Hong

doi:10.1002/mame.201200086

Cited by 8 publications

(15 citation statements)

References 21 publications

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“…These strong interac- tions finally give rise to better dispersion and even reduce the thickness of GNPs in the polymer matrix. In addition, the statistical analysis on nanofiller dispersion within the nanocomposites was performed via an in-house prepared MATLAB script, the software developed in our lab [25]. Figure 4e provides the size distributions of GNP aggregates in a range from several nanometers to 30 microns.…”

Section: Resultsmentioning

confidence: 99%

Facilitating protein denaturation in organic solvent and the contribution to the promoting dispersion of graphite nanoplatelets in a polymer

Liu¹,

Wang²,

Eyler³

et al. 2015

Express Polym. Lett.

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Abstract. Denatured proteins, natural macromolecules are very attractive for advanced nanocomposites owing to their multiple functional chemical groups. However, denaturation processes were only successfully conducted in an aqueous environment, limiting their broad applications in hydrophobic polymers. In this study, we report an effective approach of denaturing soy protein at nanoscale in an organic solvent. Further, the denatured soy protein was found to be able to infiltrate between the graphite nanoplatelet (GNP) layers to reduce the thickness of GNPs and improve the dispersion of the nanoparticles in either the suspension or the final polymeric nanocomposites. As a result, remarkable improvements in transparency and electrical conductivity have been achieved for the nanocomposites with the GNPs treated by the denatured soy protein.

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Section: Resultsmentioning

confidence: 99%

Facilitating protein denaturation in organic solvent and the contribution to the promoting dispersion of graphite nanoplatelets in a polymer

Liu¹,

Wang²,

Eyler³

et al. 2015

Express Polym. Lett.

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show abstract

“…A discussion on the background and accuracy of this stereological estimation procedure can be found in the following works. [21][22][23] Material property testing DMA was performed on the nanocomposites using a TA Instrument Tritec 2000 Model in a single cantilever bending mode (17 Â 1.4 Â 10 mm). Tests were conducted at 1 Hz under 0.0300% strain from room temperature to 180 C at a ramp rate of 3 C/min.…”

Section: Image Analysismentioning

confidence: 99%

A quantitative analysis tool for quality assessment of nanocomposite masterbatches

Lively

Smoot

Sangari

et al. 2013

Journal of Composite Materials

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The use of masterbatches for increasing the industry friendliness of polymer nanocomposite production has grown in popularity over the last several years but is lacking a proper method for quality assessment. As the quality of a masterbatch is a critical pre-requisite for obtaining resultant high quality nanocomposites, a quantitative dispersion analysis tool viable and practical for industry use was studied in this paper. Polycarbonate/carbon nanotube masterbatches (10 wt.%) were prepared with a controlled dispersion state and their dispersion quality was assessed with a new quantitative stereological macrodispersion analysis tool. At the same time, the dispersion quality of the resultant twostep nanocomposites (diluted to 1 wt.%) was also assessed with the same method. It was demonstrated that the dispersion quality of the masterbatch has a significant effect on the quality of the second step composites. To confirm this relation, the material properties closely related to the dispersion quality of the masterbatch and diluted composites were studied. Moreover, we show that the use of stereology for the estimation of the bulk agglomeration state of a masterbatch system may yield a significant increase in accuracy over conventional methods.

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“…Therefore, essential to successful production of high‐quality nanocomposites is the ability to characterize and understand the microstructure, or dispersion, of the nanocomposite systems. Of late, quantitative polymer nanocomposite dispersion characterization has been a research area of much interest due to the potential offering of practical pathways for systematic improvement in processing and quality/performance assessments for industry . Current practices for dispersion characterization of polymer nanocomposites include qualitative morphological investigations via electron microscopy accompanied by a series of material property tests used to support the morphological observations.…”

Section: Introductionmentioning

confidence: 99%

“…Transmission light (optical) or electron microscopy (TEM) supplies 2D projections of the nanocomposite microstructure while providing clear distinction between the filler and matrix unlike SEM. Within this field of microstructure study there are two areas of focus: nanodispersion style studies via TEM and macrodispersion style studies via optical microscopy . Nanodispersion refers to the more traditional definition of nanofiller dispersion by describing the level of filler individualization.…”

Section: Introductionmentioning

confidence: 99%

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Analysis tools for fibrous nanofiller polymer composites: Macro‐ and nanoscale dispersion assessments correlated with mechanical and electrical composite properties

2013

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Emerging methods to study the nanofiller agglomeration state (macrodispersion) and level of individualized nanofiller (nanodispersion) within polymer nanocomposites have been used separately to characterize microstructure and relate to material properties. However, nanofiller dispersion characteristics on different scales within polymer nanocomposites may affect the composite properties in different ways and their complement has not been studied quantitatively. In this study, the dispersion of carbon nanofiber in polycarbonate, controlled by sonication conditions, was studied by the combination of macro and nanoscale style quantitative dispersion characterization tools. The quantitative dispersion results were then correlated with the electrical and mechanical properties of the nanocomposites. Key quantitative indicators of performance were identified for nanocomposite macrodispersion such as the shape of the agglomerate size distributions and number of agglomerates per volume. However, the nanodispersion style analysis demonstrated more significant differences between similarly macrodispersed systems, providing vital information required to assess nanofiller network formation potential. The results indicate the relevant use of differently scaled image analysis processes and their necessity for a comprehensive understanding of the dispersion as well as the properties of nanocomposites. POLYM. COMPOS., 35:10-18,

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An Efficient Quantified Stereological Macrodispersion Analysis Approach for Determining Microscale Influences on Nanocomposite Material Properties

Cited by 8 publications

References 21 publications

Facilitating protein denaturation in organic solvent and the contribution to the promoting dispersion of graphite nanoplatelets in a polymer

Facilitating protein denaturation in organic solvent and the contribution to the promoting dispersion of graphite nanoplatelets in a polymer

A quantitative analysis tool for quality assessment of nanocomposite masterbatches

Analysis tools for fibrous nanofiller polymer composites: Macro‐ and nanoscale dispersion assessments correlated with mechanical and electrical composite properties

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