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Experimental Investigation and Optimization of Machining Parameters in WEDM of Nano-SiC Particles Reinforced Magnesium Matrix Composites

机译:纳米SiC颗粒增强镁基复合材料WEDM加工参数的实验研究与优化

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摘要

Among various machining processes, wire electrical discharge machining (WEDM) is regarded as one of the efficient and cost-effective processes in machining of metal matrix nanocomposites (MMNC). This article discusses the investigation and optimization of machining parameters like the voltage, pulse off time, pulse on time, wire feed rate and wt% nano-SiC particles in WEDM of magnesium metal matrix nanocomposites. Experiments are conducted on magnesium reinforced with nano-silicon carbide particles of diameter 50-80 nm. Machining parameters like the voltage, pulse off time, pulse on time, wire feed rate and wt% nano-SiC are considered for the investigation using a four-factor D-optimal design based on the response surface methodology. The WEDM performances of MMNCs are evaluated by employing the parameters like metal removal rate (MRR) and surface roughness (SR). The second order quadratic models are developed between WEDM parameters and responses by regression analysis. The derived mathematical models are then optimized using the multi-objective optimization technique based on desirability analysis. The investigation indicates that the predicted values of the obtained model are in accordance with the experimental values. Surface morphology and the effects of nanoparticle reinforcement in the machined surface are observed through SEM micrographs.
机译:在各种加工过程中,导线电放电加工(WEDM)被认为是金属基质纳米复合材料(MMNC)加工中的有效且经济有效的过程之一。本文讨论了在镁金属基质纳米复合材料的WEDM中的电压,脉冲关闭时间,脉冲对电压,脉冲关闭时间,脉冲,脉冲率,WT%纳米SiC颗粒等加工参数的调查和优化。用直径50-80nm的纳米碳化硅颗粒加固的镁进行实验。加工参数如电压,脉冲关闭时间,脉冲接通时间,送丝速率和WT%纳米SiC,考虑使用基于响应表面方法的四因素D-最优设计进行调查。通过采用金属去除速率(MRR)和表面粗糙度(SR)等参数来评估MMNC的WEDM性能。通过回归分析在WEDM参数和响应之间开发二阶二次模型。然后使用基于期望分析的多目标优化技术进行优化的衍生数学模型。该研究表明,所获得的模型的预测值符合实验值。通过SEM显微照片观察到表面形态和纳米颗粒增强纳米粒子增强的影响。

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