A comparison on self-seeding and isothermal crystallization of polyethylene in solution using small angle neutron scattering

Ganguly, Sayan; Das, Poushali

doi:10.1016/j.polymer.2015.02.008

Cited by 14 publications

(3 citation statements)

References 17 publications

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“…Small-angle scattering is the umbrella term for both approaches (SAS). A beam of neutrons is directed towards a sample in a SANS experiment, and the neutrons are elastically scattered by nuclear contact with nuclei or interaction with the magnetic moments of unpaired electrons, whereas photons interact with electron clouds in an X-ray scattering experiment [182]. The sensitivity to light elements, the potential of isotope labeling, and the intense scattering by magnetic moments are all advantages of SANS over SAXS.…”

Section: Small-angle Neutron Scattering (Sans)mentioning

confidence: 99%

A Review on Synthesis Methods of Phyllosilicate- and Graphene-Filled Composite Hydrogels

Ganguly

Margel

2022

J. Compos. Sci.

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This review discusses, in brief, the various synthetic methods of two widely-used nanofillers; phyllosilicate and graphene. Both are 2D fillers introduced into hydrogel matrices to achieve mechanical robustness and water uptake behavior. Both the fillers are inserted by physical and chemical gelation methods where most of the chemical gelation, i.e., covalent approaches, results in better physical properties compared to their physical gels. Physical gels occur due to supramolecular assembly, van der Waals interactions, electrostatic interactions, hydrophobic associations, and H-bonding. For chemical gelation, in situ radical triggered gelation mostly occurs.

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Section: Small-angle Neutron Scattering (Sans)mentioning

confidence: 99%

A Review on Synthesis Methods of Phyllosilicate- and Graphene-Filled Composite Hydrogels

Ganguly

Margel

2022

J. Compos. Sci.

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“…Differential scanning calorimetry (DSC) analysis enables the optimal study of the nonisothermal crystallization behavior of materials, whereas the small‐angle neutron scattering technique provides significant utility to study isothermal and self‐seeding crystallization. [ 10 ]…”

Section: Introductionmentioning

confidence: 99%

Crystallization, structure, morphology, and properties of linear low‐density polyethylene blends made with different comonomers

Shi

Wang

et al. 2021

Polymer Engineering & Sci

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Linear low‐density polyethylene (LLDPE) 7042, which has a butene comonomer, is widely used but has poor tear and dart strengths. For practical applications, small amounts of other materials can be blended with 7042 to effectively improve its properties. In this study, four blend resins and films (cast and compressed films) were prepared by blending 7042 with four LLDPEs (2045G, 9030, 23F, and 9085) in 8:2 ratios. The results indicated that after blending 2045G, 23F, or 9030 with 7042, the crystallization ability of the three blends was significantly suppressed and crystal size decreased. Moreover, the molecular chain can pass though more lamellar stacks in the blends, leading to an increased tie‐chain concentration. Therefore, the tear and dart impact strength of the blend films improved. In contrast, the crystallization ability of the 7042/9085 blend was only slightly suppressed and did not significantly impact its properties. These findings contribute to our understanding of the relationship between material structures and properties, demonstrating that LLDPE blends can be used to improve the tear and dart strengths of 7042.

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“…In 1977, Mandelbrot proposed a fractal dimension theory that described the self-similarity, nature fracture, and irregular structures (Mandelbrot, 1982;Katz et al, 1985;Xia et al, 2018). In the past few decades, fractal modeling and its associated concepts have been extensively applied to many areas such as mathematics, physics (Poushali et al, 2019), chemistry (Sayan et al, 2015), and Earth science (Yu et al, 2001;Yu et al, 2002). To date, there are six ways to define fractal dimension: similarity dimension, capacity dimension, box dimension, formation dimension, correlation dimension, and generalized dimension.…”

Section: Introductionmentioning

confidence: 99%

Research on a Fractal Dimension Calculation Method for a Nano-Polymer Microspheres Dispersed System

et al. 2021

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Polymer microspheres (PMs) are a kind of self-similar volume expansion particle, and their fractal dimension varies with hydration swelling. However, there is no unique fractal dimension calculation method for their characteristics. A new model is established in this paper, which is particular to calculate the fractal dimension of PMs. We carried out swelling hydration experiments and scanning electron microscope (SEM) experiments to verify the new model. The new model and the box-counting model were used to calculate the fractal dimensions of PMs based on the hydration experiment results. Then, a comparison of the calculation results of the two methods was used to verify the validity of the model. Finally, according to the new model calculation results, the fractal dimension characteristics of PMs were analyzed. The research results indicate that the new model successfully correlates the cumulative probability of the PMs dispersed system with the fractal dimension and makes fractal dimension calculation of PMs more accurate and convenient. Based on the experiment results, the new model was used to calculate the fractal dimension of PMs and the box-counting model, and its findings were all 2.638 at initial state hydration and 2.739 and 2.741 at hydration time as of day 1. This result verifies the correctness of the new model. According to the hydration swelling experiments and the new model calculation results, the fractal dimension is linear correlated to the average particle size of PMs and the standard deviation average particle size. This means the fractal dimension of PMs represents the space occupancy ability and space occupancy effectiveness.

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A comparison on self-seeding and isothermal crystallization of polyethylene in solution using small angle neutron scattering

Cited by 14 publications

References 17 publications

A Review on Synthesis Methods of Phyllosilicate- and Graphene-Filled Composite Hydrogels

A Review on Synthesis Methods of Phyllosilicate- and Graphene-Filled Composite Hydrogels

Crystallization, structure, morphology, and properties of linear low‐density polyethylene blends made with different comonomers

Research on a Fractal Dimension Calculation Method for a Nano-Polymer Microspheres Dispersed System

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