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Optimization of the machining parameters for ultrasonic vibration assistedturning of hard material

机译:超声振动辅助硬质材料车削加工参数的优化

摘要

Use of hard material like stainless steel, Inconel 718 etc. has been increased in many industries like aerospace sector, defense sector etc. It has been noticed that hard material are very difficult to cut in conventional turning process. Ultrasonic assisted turning process found to be a good alternative process to cut hard material by giving vibration to the tool and hence it acts as intermittent cutting which leads to increase tool life. In the present work FEM analysis has been done for Horn (acts as amplifier as well as tool holder) using mild steel material to know the frequency and amplitude of vibration at the output end by ANSYS® software and has been manufactured. Experimental investigation has been carried out for both conventional turning process and Ultrasonic assisted turning process to know the various process parameter effects on cutting forces and surface finish generated. From the experiment it has been found that Ultrasonic assisted turning improves both cutting force and surface finish. Finally Gray Taguchi method adopted for optimize both cutting force and surface finish (Multi objective optimization) to get the best combination of process parameters.
机译:在许多行业,例如航空航天,国防部门等,已经增加了使用诸如不锈钢,Inconel 718等硬质材料的能力。已经注意到,在常规车削过程中很难切割硬质材料。超声辅助车削工艺是通过对工具施加振动来切割硬质材料的一种很好的替代方法,因此它可以用作间歇式切削,从而延长了刀具寿命。在目前的工作中,已经通过ANSYS®软件对低碳钢材料的Horn(用作放大器以及工具架)进行了FEM分析,以了解输出端的振动频率和振幅。已经对常规车削工艺和超声辅助车削工艺进行了实验研究,以了解各种工艺参数对切削力和产生的表面光洁度的影响。从实验中发现,超声波辅助车削可改善切削力和表面光洁度。最后,采用灰色Taguchi方法同时优化切削力和表面光洁度(多目标优化),以获得工艺参数的最佳组合。

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    Arka G N;

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