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Linen Fabric-Jute Fabric-Fumed Silica-Epoxy Sandwich Laminate: AWJ Machining and Multi-Response Optimisation
Silicon ( IF 3.4 ) Pub Date : 2020-05-30 , DOI: 10.1007/s12633-020-00515-0
C. K. Arvinda Pandian , H. Siddhi Jailani

Since fabric-polymer laminates are being used in several engineering applications, it is imperative to compute and analyse the performance of any novel fabric reinforced polymer laminates while machining. Given these perspectives, an endeavor has been made to formulate a polymer sandwich laminate by incorporating industrial by-product & natural fibres and to machine the sandwich laminate using Abrasive Water Jet (AWJ) machining. For enhancing the machining process, a multi-objective optimisation is employed. In this study 2 wt.% fumed silica added epoxy reinforced with linen fabric (3 layers) & jute fabric (2 layers) sandwich laminate is machined using AWJ machining and the optimal combination of machining parameters are predicted using Taguchi-grey relational technique for multi-response characteristics such as Material Removal Rate (MRR) and Kerf Inclination (KI). For multi-response optimisation the traverse speed, the standoff distance, and the abrasive flow rate are considered as input machining parameters. In AWJ machining, the MRR increases with traverse speed and abrasive flow rate. Whereas, passing of higher abrasive particles at higher traverse speed causes reduction in kerf inclination. Using Taguchi-grey relational analysis (GRA), the optimal combination of AWJ machining process parameters for maximum MRR and minimum kerf inclination is attained. For determining the greatest significant parameter in optimisation, ANOVA is carried out. The standoff distance has the highest influence on multi performance characteristics of AWJ machining of laminate followed by traverse speed and abrasive flow rate. The confirmation test revealed that the grey relation grade value has improved by 1.81% from predicted grey relation grade value.



中文翻译:

亚麻织物-黄麻织物-硅-环氧三明治夹层板:AWJ机加工和多响应优化

由于织物-聚合物层压板已用于多种工程应用中,因此在加工时必须计算和分析任何新型织物增强的聚合物层压板的性能。从这些角度出发,已经做出了通过掺入工业副产品和天然纤维来配制聚合物夹芯层压板的努力,并使用磨料水喷射(AWJ)机加工夹芯层压板。为了增强加工过程,采用了多目标优化。在这项研究中,添加了2 wt%的气相法二氧化硅,并用亚麻织物(三层)增强了环氧 黄麻织物(2层)三明治层压板采用AWJ机加工,并使用Taguchi-grey关系技术预测多参数加工的最佳组合参数,例如材料去除率(MRR)和切尔夫倾角(KI)。对于多响应优化,将横移速度,支座距离和磨料流速视为输入加工参数。在AWJ加工中,MRR随着移动速度和磨料流速的增加而增加。然而,较高的磨料颗粒以较高的移动速度通过会导致切口倾斜度减小。使用Taguchi灰色关联分析(GRA),可以实现AWJ加工工艺参数的最佳组合,以获得最大的MRR和最小的切缝倾角。为了确定最重要的优化参数,进行方差分析。支座距离对层压板的AWJ加工的综合性能影响最大,其次是横向速度和磨料流速。确认测试表明,灰色关联等级值比预测的灰色关联等级值提高了1.81%。

更新日期:2020-05-30
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