Sliding wear behaviour of micro-sized Kota stone dust reinforced epoxy composites using Taguchi method and Grey Wolf optimisation algorithm

Gaurav Gupta, Virendra Rajput, Bhavana Ayachit, M. P. Satpathy, Pravat Ranjan Pati, Vivek Mishra, A. Agrawal
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Abstract

Kota stone dust (KSD) is an unwanted material engendered throughout the process of manufacturing Kota stone. The present work comprises the appropriate consumption of KSD for evolving a composite system with epoxy as the base matrix material. The samples are developed by the hand lay-up technique. The micrographs clearly show that KSD is uniformly distributed within the epoxy matrix and establishes good adhesion with it. With the inclusion of filler, density unwillingly increases by 21.86%, but voids generated are limited to only 4.98% for a maximum filler content of 40 wt. %. A very low water absorption rate of 0.81% for maximum filler loading is observed. The compressive strength and micro-hardness increased by 31.8% and 26.25% respectively. Tensile strength, as well as flexural strength, improves for low filler loading of 20 wt. % and decreases thereafter. The sliding wear tests of the fabricated composites are studied in this research employing fairly advanced nature-inspired Grey wolf optimisation (GWO). The wear tests are based on a real-world issue that is framed in Taguchi L25 OA. A simple linear regression equation demonstrates adequate agreement between predicted and experimental values. The inclusion of KSD decreases the wear rate. Further, it is found that the KSD loading is the utmost significant factor, whereas normal load is the least significant factor that administrates the sliding wear rate of the composite system. Using the grey wolf optimiser, the optimal settings are 2500 m sliding distance, 40 wt.% KSD content, 52 cm/s sliding velocity, and 10 N normal load. The validation test results suggest that GWO is superior to the classical Taguchi approach. The wear loss mechanism is examined under the scanning electron microscope.
使用田口方法和灰狼优化算法研究微尺寸哥打石粉增强环氧树脂复合材料的滑动磨损性能
哥打石粉(KSD)是哥打石制造过程中产生的一种无用材料。目前的工作包括适当消耗 KSD,以发展以环氧树脂为基体材料的复合材料系统。样品采用手糊技术制成。显微照片清楚地表明,KSD 均匀地分布在环氧树脂基体中,并与之建立了良好的粘附性。加入填料后,密度不情愿地增加了 21.86%,但在填料含量最大为 40 wt % 时,产生的空隙仅为 4.98%。在最大填料含量下,吸水率非常低,仅为 0.81%。抗压强度和微硬度分别提高了 31.8% 和 26.25%。抗拉强度和抗弯强度在 20 wt.%的低填料添加量时有所提高,之后有所降低。本研究采用相当先进的自然启发灰狼优化(GWO)技术,对所制造复合材料的滑动磨损测试进行了研究。磨损测试以现实世界中的问题为基础,并以 Taguchi L25 OA 为框架。简单的线性回归方程表明,预测值与实验值之间存在充分的一致性。KSD 的加入降低了磨损率。此外,研究还发现,KSD 负载是影响复合材料系统滑动磨损率的最重要因素,而正常负载则是影响最小的因素。利用灰狼优化器,最佳设置为滑动距离 2500 米、KSD 含量 40 wt.%、滑动速度 52 cm/s、正常载荷 10 N。验证测试结果表明,灰狼优化法优于传统的田口方法。在扫描电子显微镜下对磨损机理进行了研究。
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