Disordering of clay layers in the nylon 6 / clay nanocomposites prepared by anionic polymerization

2005 ◽  
Vol 13 (5) ◽  
pp. 367-372 ◽  
Author(s):  
Jung Hoon Park ◽  
Woo Nyon Kim ◽  
Hyoung-san Kye ◽  
Sang-Soo Lee ◽  
Min Park ◽  
...  
Keyword(s):  
Anionic Polymerization ◽  
Nylon 6 ◽  
Clay Nanocomposites ◽  
Clay Layers

Tensile Deformation Behaviours of Nylon 6 Based Nanocomposites

2008 ◽  
Vol 47-50 ◽  
pp. 694-697 ◽  
Author(s):  
Szu Hui Lim ◽  
Zhong Zhen Yu ◽  
Yiu Wing Mai
Keyword(s):  
Shear Deformation ◽  
Tensile Deformation ◽  
Deformation Mode ◽  
Tensile Tests ◽  
Nylon 6 ◽  
Clay Nanocomposites ◽  
Volume Strain ◽  
Physical Mechanisms ◽  
Rubber Particles ◽  
Clay Layers

Tensile tests were conducted on nylon 6/clay nanocomposites, with and without POE-g- MA rubber particles, over a range of temperatures below the glass transition and strain rates 10-4 to 10-1 s-1. It was shown that the yield strength varied with temperature and strain rate as the Eyring equation thus providing results on activation energy and activation volume for the physical mechanisms involved in these processes. Additionally, the tensile dilatometric responses indicated that the presence of POE-g-MA rubber particles did not alter the shear deformation mode of neat nylon 6. In contrast, the presence of clay layers changed the tensile yield deformation of nylon 6 from the more deviatoric plasticity to the more dilatational plasticity. In nylon 6/clay/POE-g-MA ternary nanocomposite, the volume strain response showed that POE-g-MA rubber particles promoted shear deformation and clay layers delamination was suppressed at yield.

Effect of sodium montmorillonite source on nylon 6/clay nanocomposites

Polymer ◽  
2004 ◽  
Vol 45 (7) ◽  
pp. 2321-2331 ◽  
Author(s):  
T.D. Fornes ◽  
D.L. Hunter ◽  
D.R. Paul
Keyword(s):  
Nylon 6 ◽  
Clay Nanocomposites ◽  
Sodium Montmorillonite

Preparation and Characterization of Ionic Liquild Modified Clay and its Application in Polypropylene/Clay Nanocomposites

2011 ◽  
Vol 55-57 ◽  
pp. 1588-1592
Author(s):  
Li Mei Wang
Keyword(s):  
Clay Nanocomposites ◽  
X Ray Diffraction ◽  
Modified Clay ◽  
Solution Blending ◽  
Organically Modified ◽  
Result Show ◽  
Xrd Patterns ◽  
Clay Layers ◽  
Poly Propylene

Clay was organically modified with one kind of ionic liquild. Organical clay obtained was used to prepare poly(propylene) (PP)/clay nanocomposites by solution blending. Flourier transform infrared (FTIR), wide-angle X-ray diffraction (XRD) and thermogravimetric analysis (TGA) revealed that the ionic liquild was loaded in the galleries of organically modified clay. TGA result show the thermal stability of organically modified clay was superior to clay. XRD patterns indicated that the d-spacing of clay layers increased to 2.96 nm from 1.22 nm of clay. XRD patterns of PP/clay nanocomposites show that clay layers were dispersed in PP matrix by nanometer size.

Nonlinear interphase effects on plastic hardening of nylon 6/clay nanocomposites: A computational stochastic analysis

2019 ◽  
Vol 54 (6) ◽  
pp. 753-763
Author(s):  
Vahid Yaghoubi ◽  
Mohammad Silani ◽  
Hossein Zolfaghari ◽  
Mostafa Jamshidian ◽  
Timon Rabczuk
Keyword(s):  
Stochastic Analysis ◽  
Uncertainty Propagation ◽  
Clay Content ◽  
Latin Hypercube Sampling ◽  
Information Criterion ◽  
Nylon 6 ◽  
Clay Nanocomposites ◽  
Chi Square ◽  
Hardening Modulus ◽  
Plastic Hardening

In this paper, the nonlinear effect of interphase properties on the macroscopic plastic response of nylon 6/clay nanocomposites is investigated by applying a stochastic analysis on a multiscale computational model of nanocomposites. The mechanical behavior of interphase is described with respect to that of the matrix by a weakening coefficient. The interphase thickness and properties are considered as the stochastic inputs and the hardening modulus and hardening exponent describing the plastic hardening characteristics of the nanocomposite are the random outputs. The stochastic analysis consists of three procedures including (i) model selection using Akaike information criterion, (ii) uncertainty propagation using Latin Hypercube sampling in conjunction with chi-square test, and (iii) sensitivity analysis using Sobol indices. The results indicate that the exponential hardening model best describes the flow stress–plastic strain response of the nanocomposite. It is also shown that increasing the clay content generally increases the plastic hardening rate of the nanocomposite up to 4% clay content. Besides, the hardening characteristics of the nanocomposite are more sensitive to the weakening coefficient than the interphase thickness.

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