Multi-response optimization of process parameters for TIG welding of Incoloy 800HT by Taguchi grey relational analysis

被引:54
作者
Srirangan, Arun Kumar [1 ]
Paulraj, Sathiya [1 ]
机构
[1] Natl Inst Technol, Dept Prod Engn, Tiruchirappalli 620015, Tamil Nadu, India
来源
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH | 2016年 / 19卷 / 02期
关键词
Optimization; Multi-objective; Mechanical properties; Metallurgical characteristics;
D O I
10.1016/j.jestch.2015.10.003
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Incoloy 800HT which was selected as one of the prominent material for fourth generation power plant can exhibit appreciable strength, good resistance to corrosion and oxidation in high temperature environment. This study focuses on the multi-objective optimization using grey relational analysis for Incoloy 800HT welded with tungsten inert arc welding process with N82 filler wire of diameter 1.2 mm. The welding input parameters play a vital role in determining desired weld quality. The experiments were conducted according to L-9 orthogonal array. The input parameter chosen were the welding current, Voltage and welding speed. The output response for quality targets chosen were the ultimate tensile strength and yield strength (at room temperature, 750 degrees C) and impact toughness. Grey relational analysis was applied to optimize the input parameters simultaneously considering multiple output variables. The optimal parameters combination was determined as A(2)B(1)C(2) i.e. welding current at 110 A, voltage at 10 V and welding speed at 1.5 mm/s. ANOVA method was used to assess the significance of factors on the overall quality of the weldment. The output of the mechanical properties for best and least grey relational grade was validated by the metallurgical characteristics: (C) 2016, Karabuk University. Publishing services by Elsevier B.V.
引用
收藏
页码:811 / 817
页数:7
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