The nanosize of reinforcement creates a better synergistic effect in epoxy composites. This effect enhances the desired properties of multifunctional components used in aircraft, automotive, sports, biomedical, sensors, etc. In this series, MWCNT/epoxy nanocomposites possess high strength, reduced weight, moisture and chemical resistant properties. The machining performance of MWCNT nanocomposites is remarkably distinct from metallic materials. This article explores the machining aspects of MWCNT composites using Grey relation analysis and relatively advanced nature-inspired Grey wolf optimization (GWO). Machining (milling) experiments consider a real-world problem framed on Taguchi L27 OA. The second-order polynomial regression equation shows a desirable agreement between experimental and predicted values. The average surface roughness, cutting force and MRR significantly achieved the desired enhancements. The optimal setting of GRA based Grey wolf optimizer are found as 0.5 wt.% MWCNT, 1500 rpm spindle speed, 50 mm/min feed rate and 3 mm depth of cut. It was noticed that the depth of cut plays a prominent role in affecting the machining characteristics. The outcomes of the confirmatory test show that GRA-GWO is more feasible than the traditional GRA method.

中文翻译：

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探索自然启发的灰狼算法和格雷理论在多壁碳纳米管/聚合物纳米复合材料的加工中

增强材料的纳米尺寸在环氧树脂复合材料中产生了更好的协同效应。这种效应增强了用于飞机、汽车、运动、生物医学、传感器等的多功能部件的所需特性。在该系列中，MWCNT/环氧树脂纳米复合材料具有高强度、轻量化、防潮和耐化学性。MWCNT纳米复合材料的加工性能与金属材料明显不同。本文使用灰色关联分析和相对先进的受自然启发的灰狼优化 (GWO) 探讨了 MWCNT 复合材料的加工方面。机加工（铣削）实验考虑了以田口 L27 OA 为框架的现实世界问题。二阶多项式回归方程显示了实验值和预测值之间的理想一致性。平均表面粗糙度，切削力和 MRR 显着实现了预期的增强。发现基于 GRA 的灰狼优化器的最佳设置为 0.5 wt.% MWCNT、1500 rpm 主轴转速、50 mm/min 进给速率和 3 mm 切削深度。值得注意的是，切削深度在影响加工特性方面起着重要作用。验证性测试的结果表明，GRA-GWO 比传统的 GRA 方法更可行。