Optimization of Epoxy Nanocomposite on Glass Transition Temperature Characteristics Utilizing Experimental Design Method

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Title:	Optimization of Epoxy Nanocomposite on Glass Transition Temperature Characteristics Utilizing Experimental Design Method
Authors:	H. L. CHANG, C. M. CHEN
Contributors:	圖書館
Keywords:	Nanopowder epoxy Glass transition temperature Optimization multiple regression equation
Date:	2015-06
Issue Date:	2016-10-14 11:32:02 (UTC+8)
Abstract:	An experimental study of the thermal performance characteristics of TMA glass transition temperature is developed. Three kinds of nanopowder, namely, alumina, silica and carbon black, are selected and mixed with reactive diluent to prepare a novel epoxy nanocomposite. By analysis of variance, it is found that the control factors are significant factors to qualify the glass transition temperature of the nanocomposite. In the study, the glass transition temperature is effectively optimized by using Taguchi method. As a result, the optimum composition is to adding 2 wt.% of Al2O3, 2 wt.% of SiO2, and 2 wt.% of carbon black of the nanocomposite. The multiple regression equation can be established from the experiment to determine the weighted coefficient of control factors and quality characteristics. The error between the experimental value and the prediction value, which is calculated by the regression equation, is only 0.06%. It confirms the reliability of this study.
Relation:	Digest Journal of Nanomaterials and Biostructures
Appears in Collections:	[Department of Chemical and Materials Engineering] 【化工與材料工程系】期刊論文

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