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Effect of Hybrid Machining Techniques on Machining Performance of In-House Developed Mg-PMMC

机译:混合加工技术对内部开发MG-PMC加工性能的影响

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摘要

High demand of lightweight material makes magnesium alloys and composites more suitable to aerospace and automotive industries. However, poor corrosion resistance and fatigue resistance make its applications limited. Due to inherent capability of machining processes, the surface characteristics of the component can be improved. Many articles reported improvement in machinability of different difficult-to-machine materials while using ultrasonic-assisted turning (UAT) process and cryogenic-assisted turning individually. In this paper, the newly developed cryogenic-ultrasonic-assisted turning (CUAT) technique is used for the machining of in-house developed magnesium AZ91/SiC particulate metal matrix composite (PMMC). In this study, surface roughness and chip breakability index are measured under different machining methods, i.e. conventional turning (CT), UAT and CUAT. The full factorial method is used to design the experiments. A regression model of surface roughness is developed for CT and UAT processes and optimized using Jaya algorithm. Our results provide evidence of improvement in surface finish for UAT of magnesium AZ91/SiC PMMC in comparison with CT. An improvement up to 36.50% and 15% has been observed in surface roughness and chip breakability index, respectively, with CUAT process as compared to UAT process at optimized cutting parameters of the UAT process.
机译:轻质材料的高需求使镁合金和复合材料更适合航空航天和汽车工业。然而,耐腐蚀性差和疲劳性能使其应用有限。由于加工过程的固有能力,可以提高部件的表面特性。许多文章报告了使用超声波辅助转动(UAT)过程和单独低温辅助转动的不同难量机材料的改善。本文采用新开发的低温辅助转动(CUAT)技术用于内部开发的镁AZ91 / SiC颗粒金属基质复合物(PMMC)的加工。在该研究中,在不同的加工方法中测量表面粗糙度和芯片断裂性指数,即传统转动(CT),UAT和CUAT。完整的因素方法用于设计实验。为CT和UAT过程开发了表面粗糙度的回归模型,并使用Jaya算法进行了优化。我们的结果提供了与CT相比镁AZ91 / SIC PMMC的表面饰面改善的证据。在表面粗糙度和芯片断裂性指数中,与UAT工艺的优化切割参数相比,在表面粗糙度和屑可断裂性指数中,在表面粗糙度和屑可断裂性指数中分别观察到高达36.50%和15%的改善。

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