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Multiobjective Optimization of Fabrication Parameters of Jute Fiber/Polyester Composites with Egg Shell Powder and Nanoclay Filler

机译:用蛋壳粉和纳米粘土填料的黄麻纤维/聚酯复合材料制造参数的多目标优化

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摘要

In the present study, a model is presented to optimize the fabrication parameters of natural fiber reinforced polyester matrix composites with dual fillers. In particular, jute fiber mat was chosen as reinforcement and eggshell powder (ESP) and montmorillonite nanoclay (NC) were selected as fillers. The weight per square meter (GSM) of the fiber, the weight percentage of ESP and NC have been chosen as independent variables and the influence of these variables on tensile, flexural and impact strength of the composite has been inspected. The permutations of the different combinations of factors are intended to accomplish higher interfacial strength with the lowest possible number of tested specimens. The experiments were designed by the Taguchi strategy and a novel multi-objective optimization technique named COPRAS (COmplex PRoportional ASsessment of alternatives) was used to determine the optimal parameter combinations. Affirmation tests were performed with the optimal parameter settings and the mechanical properties were evaluated and compared. Experimental results show that fiber GSM and eggshell powder content are significant variables that improve mechanical strength, while the nanoclay appears less important.
机译:在本研究中,提出了一种模型,以优化具有双填料的天然纤维增强聚酯基质复合材料的制造参数。特别是,选择黄麻纤维垫作为增强件,并选择蛋壳粉(ESP)和蒙脱石纳米铬(NC)作为填料。纤维的重量/平方米(GSM),ESP和NC的重量百分比已被选择为独立变量,并且已经检查了这些变量对复合材料的拉伸,弯曲和冲击强度的影响。不同因素组合的排列旨在通过最低可能数量的测试样品来实现更高的界面强度。实验是由Taguchi策略设计的,并使用名为Copras的新型多目标优化技术(替代方案的复杂比例评估)来确定最佳参数组合。使用最佳参数设置进行肯定测试,并进行测量机械性能并进行比较。实验结果表明,纤维GSM和蛋壳粉含量是提高机械强度的显着变量,而纳米粘土似乎不太重要。

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