勤益科大機構典藏:Item 987654321/5835
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    题名: Optimization of Epoxy Nanocomposite on Glass Transition Temperature Characteristics Utilizing Experimental Design Method
    作者: H. L. CHANG, C. M. CHEN
    贡献者: 圖書館
    关键词: Nanopowder
    epoxy
    Glass transition temperature
    Optimization
    multiple regression equation
    日期: 2015-06
    上传时间: 2016-10-14 11:32:02 (UTC+8)
    摘要: 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.
    關聯: Digest Journal of Nanomaterials and Biostructures
    显示于类别:[化工與材料工程系(所)] 【化工與材料工程系】期刊論文

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