Optimization of Process Parameters in Drilling of Al6063 Reinforced with Magnesium Oxide Nano Particles

Subbarama Kousik Suraparaju, P. V. Reddy, P. Ramaiah, K. D. Reddy, S. Natarajan
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引用次数: 1

Abstract

Aluminum Nano Metal Matrix Composites are extensively utilized for high-performance operations such as branches of engineering and medicine due to their enhanced physical and mechanical properties compared to traditional metals and metal alloys. In this research, Al6063 alloy was reinforced with 15 nm sized Magnesium Oxide particles in different weight percentages. The development of Nano Metal Matrix Composites (NMMC) was completed through stir casting method at 750 °C temperature. The fabricated Nanocomposites were examined for the mechanical properties and impact of drilling parameters on chips and burr formation. The input parameters adopted for analysis were speed, feed, and material of the drill tool. The drill tools made of HSS & TiN coated HSS were utilized in the drilling of NMMC. The influence of process parameters on chips and burr formation were analyzed and optimized the process parameters for better output intended for this experimental environment through the Artificial Immune Algorithm technique.
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纳米氧化镁增强Al6063的钻孔工艺参数优化
由于与传统金属和金属合金相比,铝纳米金属基复合材料具有增强的物理和机械性能,因此广泛用于高性能操作,如工程和医学分支。在本研究中,以不同重量百分比的15 nm大小的氧化镁颗粒增强Al6063合金。采用搅拌浇铸法制备了纳米金属基复合材料(NMMC)。研究了制备的纳米复合材料的力学性能以及钻井参数对切屑和毛刺形成的影响。用于分析的输入参数为钻具的速度、进给和材料。将高速钢和镀锡高速钢制成的钻具用于NMMC的钻孔。分析了工艺参数对切屑和毛刺形成的影响,并通过人工免疫算法技术优化了该实验环境下的工艺参数,以达到更好的输出效果。
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