Competitive interactions, structure and properties in polymer/layered silicate nanocomposites

Hári, József; Horváth, Flóra; Móczó, János; Renner, Karl; Pukánszky, Béla

doi:10.3144/expresspolymlett.2017.45

Cited by 21 publications

(13 citation statements)

References 49 publications

(64 reference statements)

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“…The composition dependence of properties measured at large deformation (yield properties, strength) is affected by the characteristics of the matrix, interactions and structure as well. [45][46][47][48] Consequently, the strength of interactions or miscibility cannot be judged from the data presented in Figure 2, further analysis is needed. Deformability is an important attribute of all structural materials, because it is often closely related to impact resistance.…”

Section: Propertiesmentioning

confidence: 99%

Correlations among Miscibility, Structure, and Properties in Thermoplastic Polymer/Lignin Blends

Romhányi

Kun

Pukánszky

2018

ACS Sustainable Chem. Eng.

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Blends were prepared from an industrial lignosufonate and seven matrix polymers with different chemical structures. The components were homogenized in an internal mixer and plates were compression molded for further testing. The blends were characterized by a number of methods: structure by scanning electron microscopy, interactions by dynamic mechanical thermal analysis and differential scanning calorimetry, while mechanical properties by tensile testing. Only weak dispersion forces develop in polyolefins, the properties of the blends are poor. Aromatic,  electron interactions are stronger and H-bonds result in reasonable compatibility and mechanical properties. The best properties were achieved with the ionomer as matrix in which the combination of hydrogen bridges and ionic bonds result in good compatibility and properties. The strength of interactions was estimated with the Flory-Huggins interaction parameter and good quantitative correlations were found among miscibility, structure and properties, which could be predicted with simple theories. Although blends with acceptable properties could be prepared from the ionomer and lignin, the deformability of most blends were very small limiting practical application. The plasticization or chemical modification of lignin may lead to materials which can be used in industrial practice.

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Section: Propertiesmentioning

confidence: 99%

Correlations among Miscibility, Structure, and Properties in Thermoplastic Polymer/Lignin Blends

Romhányi

Kun

Pukánszky

2018

ACS Sustainable Chem. Eng.

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“…Lamellar clays of the montmorillonite (MMT) type have been the subject of considerable interest for the manufacture of polymer-clay nanocomposites. These inorganic/organic nanocomposites have new and enhancing properties that individual inorganic and organic components do not possess [4][5][6][7][8][9]. Conjugated or conductive polymers have emerged as a highly promising class of materials for various applications.…”

Section: Introductionmentioning

confidence: 99%

Influence of clay modification process in polypyrrole-layered silicate nanocomposite

Mrah

Méghabar

2020

SN Appl. Sci.

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This work focuses mainly on the preparation and characterization of polypyrrole/organically modified clay nanocomposites. Organoclay/polypyrrole nanocomposites were prepared by oxidative polymerization of pyrrole in aqueous medium using ferric chloride as the oxidant. Initially, cetyltrimethyl-ammonium bromide and tetrabutyl-ammonium hydrogen sulphate were used as organophilic to modify clay and form an organic clay. After that, polypyrrole/organically modified clay nanocomposites were synthesized by in situ polymerization process in which pyrrole was polymerized in the presence of different proportions of organic clay. The effects of the nature of the organic clays and the preparation method were studied in order to evaluate their structural, morphological and thermal properties. X-ray diffraction (SAXS), Fourier transform infrared spectroscopy, scanning electron microscopy, thermogravimetric analysis, transmission electron microscopy, were used to define the characteristics of the materials obtained. The obtained results confirm the intercalation of molecules of salt in the clay layers, and good interaction with the polymer. Thermogravimetric analysis showed better thermal stability of nanocomposites compared to pure polypyrrole. The conductivity behaviour of nanocomposites was also examined. Graphic abstractKeywords Pyrrole · Montmorillonite · Conductivity · Nanocomposite · Thermogravimetric analysis (TGA)

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“…2,4 To detect the different failure modes (crazing, micro-cracking in matrix, debonding between fiber and matrix, pullout or break of fiber, micro-buckling, delamination, propagation of macro-crack) in different polymer materials, the simplest and conventional method is to analyze changes in the load-deformation relationship obtained by mechanical test and the time domain AE data such as the number of AE events and the maximum amplitude versus time plot and to compare them to each other and to the amplitude histogram and possibly other descriptive statistics. [7][8][9][10][11][12][13][14][15][16][17][18][19][20]…”

Section: Introductionmentioning

confidence: 99%

Novel evaluation method of acoustic emission data based on statistical fiber bundle cells

Vas

Kocsis²,

Czigány

et al. 2019

Journal of Composite Materials

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In general, the aim of acoustic emission (AE) assisted tensile tests of composite materials is to identify and characterize the damage and failure modes of the specimens. This paper presents a fiber-bundle-cells (FBC) based statistical model, which provides a possible solution to the problem of characterizing the mechanical and failure behavior of the material. The model, based on the results of mechanical tests and AE measurements, decomposes the measured AE event number and tensile force-load time processes into components corresponding to the different damage modes. The AE events belonging to different failure modes are described by inhomogeneous Poisson point processes, while failures are modeled with the breakage of fibers as elementary parts of the sample. Hence damage modes can be characterized with the number fraction, and the tensile strength and signal energy distributions of the components. Moreover, the variation of the number fraction of the intact or damaged fibers as a function of the load time can be calculated and depicted as well. As reliability function or a kind of damage map, it reveals the mechanical load-bearing ability of the material tested. The applicability of the model is demonstrated by compact tension testing and the comparison of short and long glass fiber reinforced VERTON PP sheets and injection molded wood fiber reinforced PP composites.With the help of fast Fourier transformation (FFT), the frequency components of the single AE signals can be characterized by the amplitude or power spectrum in the frequency domain. Their description parameters are the bandwidth (B), the mean frequency (fm), the frequency of the maximum amplitude component (fP), and the amplitude (AP) or energy (UP) of the maximum peak. Similar parameters can be obtained from the mean spectra of a series of AE signals, and histograms and/or cross-plots can be calculated from the data of single AE signals. 2,4 Special techniques can provide information in both the time and the frequency domain, resulting in time-dependent spectrum statistics. 2,4 The classic method is the short time FFT (SFFT) technique, which uses a moving time window. In the case of wavelet transformations (WT), AE signals are analyzed with the help of various wavelet components. The signal transformations mentioned above provide additional or in itself usable information about the sources and failure modes in the frequency domain [21][22][23][24][25][26] or both in the time and the frequency domains [27][28][29][30][31][32][33][34][35][36] . In the latter case, wavelet transformations based on Haar 28 or Gabor 27, 33 wavelet components as well as Hilbert-Huang transform 30 can be used to decompose the AE signals and calculate the energy of the components. [27][28][29][30][31][32][33][34][35][36] In the case of thin plates, modal analysis can be applied to study and separate extensional and flexural Lamb waves. 37,38 The finite element method (FEM) can give a good base for wave discrimination. 38 The localization of a single AE signal in the spe...

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Competitive interactions, structure and properties in polymer/layered silicate nanocomposites

Cited by 21 publications

References 49 publications

Correlations among Miscibility, Structure, and Properties in Thermoplastic Polymer/Lignin Blends

Correlations among Miscibility, Structure, and Properties in Thermoplastic Polymer/Lignin Blends

Influence of clay modification process in polypyrrole-layered silicate nanocomposite

Novel evaluation method of acoustic emission data based on statistical fiber bundle cells

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