ABSTRACT Metal Matrix Composites (MMC) reinforced by nanoparticles are competent materials, appropriate for functional and structural applications. Green manufacturing is a style for mechanized that minimizes dissipate and contamination. The pollution prevention resolves in manufacturing industries to expand and execute various environmentally-friendly strategies. The primary purpose of green machining is to hold up future generations by attaining process sustainability. In the present investigation, cryogenic machining (CM) of Nanoscaled SiC reinforced Aluminum (Al) matrix composites gives experimental outcomes and also the correlation of its performance with dry machining (DM) and Minimum Quantity Lubrication (MQL). The drilling tests are organized using a vertical machining center (VMC), which is directed by computer numeric control (CNC) employing carbide drills of 10 mm dia with cutting point angles of 90, 118, and 135 degrees. Experiments have planned as per the response surface methodology (RSM) based on Box-Behnken design (BBD). Teaching–Learning-Based Optimization (TLBO) is implemented to optimize the drilling criteria such as the speed of the spindle, feed rate, weight % of nano SiC, and cutting angle. Subsequently, Scanning Electron Microscope (SEM) is utilized to inspect the subsurface of the machined specimen.

中文翻译：

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纳米碳化硅增强铝基复合材料的可持续钻孔性能优化

摘要 由纳米粒子增强的金属基复合材料 (MMC) 是适用于功能和结构应用的合格材料。绿色制造是一种机械化的方式，可以最大限度地减少耗散和污染。污染防治解决制造业扩大和执行各种环境友好战略。绿色加工的主要目的是通过实现过程可持续性来支持后代。在本研究中，纳米级 SiC 增强铝 (Al) 基复合材料的低温加工 (CM) 给出了实验结果，以及其性能与干加工 (DM) 和微量润滑 (MQL) 的相关性。钻孔测试是使用立式加工中心 (VMC) 组织的，它由计算机数控 (CNC) 指导，采用直径为 10 毫米的硬质合金钻头，切割点角度为 90、118 和 135 度。根据基于 Box-Behnken 设计 (BBD) 的响应面方法 (RSM) 计划进行实验。实施基于教学的优化 (TLBO) 以优化钻孔标准，例如主轴速度、进给率、纳米 SiC 的重量百分比和切削角度。随后，使用扫描电子显微镜 (SEM) 来检查加工样品的次表面。实施基于教学的优化 (TLBO) 以优化钻孔标准，例如主轴速度、进给率、纳米 SiC 的重量百分比和切削角度。随后，使用扫描电子显微镜 (SEM) 来检查加工样品的次表面。实施基于教学的优化 (TLBO) 以优化钻孔标准，例如主轴速度、进给率、纳米 SiC 的重量百分比和切削角度。随后，使用扫描电子显微镜 (SEM) 来检查加工样品的次表面。