Empirical modeling and multi-response optimization of duplex turning for Ni-718 alloy

被引：0
作者：
Sunil Kumar
Ravindra Nath Yadav
Raghuvir Kumar
机构：
[1] Babu Banarasi Das University,Department of Mechanical Engineering
[2] BBD National Institute of Technology and Management,Department of Mechanical Engineering
[3] BN College of Engineering and Technology,Department of Mechanical Engineering
来源：
International Journal of System Assurance Engineering and Management | 2020年 / 11卷
关键词：
ANOVA; Cutting force; Modeling; Optimization; Response surface methodology; Surface roughness; Taguchi; Turning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In duplex turning, two-cutting tools as primary-tool is mounted on main tool post and secondary-tool is mounted on indigenous tool post on lathe machine. The objective of present work is to optimize the duplex turning parameters for primary cutting force, secondary cutting force and surface roughness for aerospace material especially Nickel alloy (Ni-718). For this, Taguchi methodology (TM) with response surface methodology (RSM) is utilized for modeling as well as multi-objective optimization of parameters. Firstly, the TM approach has been applied to determine the central value using experimental data, which is used as central value for RSM modeling. The results show that significant improvement in the all responses at optimal data with acceptable limit of errors. It also shows the percentage decrease in primary cutting force = 9.06%, secondary cutting force = 30.91% with improvement in average surface roughness = 1.78% positively.
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页码：126 / 139
页数：13
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