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A study on a possible correlation between thermal conductivity and wear resistance of particulate filled polymer composites

机译:颗粒填充聚合物复合材料导热系数与耐磨性之间可能相关性的研究

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In this study, thermal conductivity of particulate filled polymer composites is investigated experimentally by guarded heat flow meter method in accordance with ASTM E 1530. The objective of this research is to attain a better understanding of global and local thermal behavior of a composite system through basics of thermal properties. The results obtained from this study are compared with an existing theoretical model for validation purposes of pine bark reinforced epoxy based resin composites with and with out particulate filler content. To this end, a correlation has been made between the thermal conductivity and specific wear resistance of the tested samples, highlighting the importance of the insulating material. The relationship between control factors and performance outputs are established by means of non-linear regression analysis resulting in a valid mathematical model. Finally, a popular evolutionary approach known as genetic algorithm (GA) is used to generalize the method of finding out optimal factor settings for minimization of thermal conductivity and specific wear rate.
机译:在这项研究中,根据ASTM E 1530,采用保护热流量计方法对填充颗粒的聚合物复合材料的导热系数进行了实验研究。本研究的目的是通过基本知识更好地了解复合系统的整体和局部热行为。热性能。将从本研究中获得的结果与现有理论模型进行比较,以验证具有或不具有颗粒填料含量的松树皮增强环氧树脂基树脂复合材料。为此,已在被测样品的导热率和比耐磨性之间建立了相关性,突出了绝缘材料的重要性。控制因素与性能输出之间的关系通过非线性回归分析建立,从而得出有效的数学模型。最后,一种流行的进化方法被称为遗传算法(GA),用于对找出最佳系数设置以最小化热导率和比磨损率的方法进行概括。

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