Barrier properties of polyamide-6/high density polyethylene blends

2001 ◽  
Vol 46 (4) ◽  
pp. 323-330 ◽  
Author(s):  
R. González-Nuñez ◽  
H. Padilla ◽  
D. De Kee ◽  
B. D. Favis
2012 ◽  
Vol 729 ◽  
pp. 216-221 ◽  
Author(s):  
Hajnalka Hargitai ◽  
Tamás Ibriksz ◽  
János Stifter ◽  
Endre Andersen

In our experiments polyamide 6/high density polyethylene blends (25/75 wt%) were produced and maleic anhydride grafted polyethylene was used as chemical coupling agent. To get finer microstructure and enhance the mechanical properties the blends were compounded by different nanostructured reinforcements. Two kinds of nanosilicate, the layered structure montmorillonite and the needle like sepiolite were applied in different concentrations and their effect on the mechanical and melting properties were examined.


2016 ◽  
Vol 48 (8) ◽  
pp. 739-753
Author(s):  
Mehdi Moghri ◽  
Elena-Niculina Dragoi

In this work, the effect of four factors including the nanoclay (NC) content, polyamide 6 (PA-6) content, compatibilizer type, and amount, as material variables on barrier properties of different high-density polyethylene (HDPE)/PA-6/clay nanocomposites, was described. Response surface method was used as a tool for experimental design. Different PA-6/clay nanocomposites were prepared by melt mixing of PA-6 at different clay loadings using a corotating twin-screw extruder. Subsequently, different PA-6/NC compounds containing different amounts of clay were melt mixed with HDPE to produce blow-molded containers under fixed processing conditions. In order to model the permeability, a neural network modelling approach in combination with a modified version of differential evolution was employed. The differential evolution modifications included, among others, a local search procedure based on backpropagation. The best models determined had a mean squared error in the testing phase of less than 0.1 and an average relative error lower than 12.2%, the difference between experimental results and predictions being within an acceptable range. This indicates that the methodology used was able to efficiently model the considered process.


Author(s):  
L.-A. Fillot ◽  
S. Ghiringhelli ◽  
C. Prebet ◽  
S. Rossi

2012 ◽  
Vol 293 (3) ◽  
pp. 941-947 ◽  
Author(s):  
E. Elshereafy ◽  
Maysa A. Mohamed ◽  
M. M. EL-Zayat ◽  
A. A. El Miligy

2019 ◽  
Vol 69 (1) ◽  
pp. 61-71 ◽  
Author(s):  
Luis Quiles‐Carrillo ◽  
Nestor Montanes ◽  
Vicent Fombuena ◽  
Rafael Balart ◽  
Sergio Torres‐Giner

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