Department of Mechanical Engineering, VSB College of Engineering and Technical campus, Coimbatore 642109, Tamilnadu, India.
Center for Materials Research, Department of Mechanical Engineering, Sethu Institute of Technology, Kariapatty 626106, Tamilnadu, India.
Molecules. 2020 Nov 27;25(23):5579. doi: 10.3390/molecules25235579.
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.
在本研究中,提出了一种模型来优化具有双重填料的天然纤维增强聚酯基复合材料的制造参数。具体而言,选择黄麻纤维垫作为增强材料,蛋壳粉(ESP)和蒙脱土纳米粘土(NC)作为填料。纤维的每平方米重量(GSM)和 ESP 和 NC 的重量百分比被选为自变量,检查这些变量对复合材料拉伸、弯曲和冲击强度的影响。不同因素组合的排列旨在通过尽可能少的测试样本实现更高的界面强度。实验是通过田口策略设计的,一种名为 COPRAS(备选方案的复杂比例评估)的新的多目标优化技术被用于确定最佳参数组合。通过最佳参数设置进行了验证测试,并评估和比较了机械性能。实验结果表明,纤维 GSM 和蛋壳粉含量是提高机械强度的重要变量,而纳米粘土的影响则较小。