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Application of response surface method on machining of Al-SiC nano-composites

机译:响应面法在Al-SiC纳米复合材料加工中的应用

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The newly fabricated metal matrix nano-composite (MMNC) of Al 7075 reinforced with 1.5 wt% SiC nano-particles was prepared by a novel ultrasonic cavitation method. The high resolution scanning electron micrograph (SEM) and field emission scanning electron micrograph (FESEM) shows uniform distribution and good dispersion of the SiC nanoparticles within the aluminum metal matrix. Electrical discharge machining (EDM) was employed to machine MMNC with copper electrode by adopting face centered central composite design of response surface methodology. Analysis of variance was applied to investigate the influence of process parameters and their interactions. Further a mathematical model has been formulated in order to estimate the machining characteristics. It has been observed that pulse current was found to be the most important factor affecting all the three output parameters such as material removal rate (MRR), electrode wear rate (EWR) and surface roughness (SR). The optimum parameter of combination setting has been identified for the MMNC are voltage 50.00 V, pulse current 8.00 A, Pulse on time 8.00 μs and pulse off time 9.00 μs. Finally the parameters were optimized for maximizing MRR, minimizing EWR and SR using desirability function approach.
机译:采用新型的空化方法制备了以1.5 wt%SiC纳米颗粒增强的Al 7075金属基纳米复合材料(MMNC)。高分辨率扫描电子显微照片(SEM)和场发射扫描电子显微照片(FESEM)显示SiC纳米颗粒在铝金属基体内的均匀分布和良好分散。采用电火花加工(EDM),通过采用响应面方法的面心中心复合设计,对带有铜电极的MMNC进行加工。应用方差分析来研究过程参数及其相互作用的影响。为了估计加工特性,还建立了数学模型。已经发现,脉冲电流是影响所有三个输出参数(例如材料去除率(MRR),电极磨损率(EWR)和表面粗糙度(SR))的最重要因素。对于MMNC,已确定组合设置的最佳参数是电压50.00 V,脉冲电流8.00 A,脉冲接通时间8.00μs和脉冲断开时间9.00μs。最后,使用期望函数方法对参数进行了优化,以最大化MRR,最小化EWR和SR。

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