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Original Articles

Prediction of Mechanical Properties Following the Dispersion Assessment of Flame Retardant Filler/Polymer Composites Based on the Multifractal Analysis of SEM Images

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Pages 1137-1151 | Received 26 May 2005, Accepted 18 Aug 2005, Published online: 07 Feb 2007
 

Abstract

Backscattered electron scanning electron microscope (SEM) imaging of the distribution of metal hydroxide filler particles in cryo‐cut surfaces of poly(ethylene‐ran‐vinyl acetate)/metal hydroxide composites followed by multifractal analysis of the images has led to a numerical measure of dispersion quality, i.e. the width (D0–D4) of the multifractal spectrum. The D0–D4 values were then determined for a series of composites that formed a quadratic algorithm screening experimental design where the following four factors: type of filler (magnesium hydroxide or aluminium hydroxide), filler loading (30% w/w–60% w/w), vinyl acetate content (20% w/w and 28% w/w), and isostearic acid coating of the filler, were investigated. Two multiple regression models were constructed to examine the dependence of tensile strength and elongation at break on dispersion quality and composite formulation. Predictions of tensile strength and elongation at break were forecast and the results compared with experimentally measured data. A positive correlation was found between the as measured data and predictions from the multiple regression model. Examination of the models indicated that composite tensile strength and elongation at break decreased as a function of decreasing dispersion quality confirming the importance of dispersion quality in defining ultimate material properties.

Dedicated to Professor John L. Stanford on the occasion of his 60th birthday.

Acknowledgments

The authors would like to extend their gratitude to Multiblend Chemicals Limited, Manchester, UK, for carrying out isostearic acid treatment of the aluminium and magnesium hydroxide. Further information about Multiblend Chemicals Limited can be found at www.multiblend.co.uk.

Notes

Dedicated to Professor John L. Stanford on the occasion of his 60th birthday.

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