Parameter design for cut surface characteristics in abrasive waterjet cutting of Al/SiC/Al2O3 composite using grey theory based RSM

被引:32
作者
Santhanakumar, M. [1 ]
Adalarasan, R. [1 ]
Rajmohan, M. [2 ]
机构
[1] Saveetha Engn Coll, Dept Mech Engn, Madras 602105, Tamil Nadu, India
[2] Anna Univ, Coll Engn Guindy, Dept Ind Engn, Madras 602105, Tamil Nadu, India
关键词
Response surface methodology; Grey theory; Abrasive waterjet cutting; Al/SiC/Al2O3; composite; Optimization; Taguchi method; ARTIFICIAL NEURAL-NETWORK; TAGUCHI METHOD; OPTIMIZATION; PERFORMANCE; ROUGHNESS;
D O I
10.1007/s12206-015-1242-3
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The abrasive mixed waterjet was successfully employed to cut many materials including austenitic steel, inconel and glass for a variety of industrial applications. The present work focusses on studying the surface roughness, striation zone and striation angle in Abrasive waterjet cutting (AWJC) of Al/SiC/Al2O3 composite. The water pressure, traverse speed, abrasive flow rate and stand-off distance were included as the dominant parameters in the study. The features of striation zone (length and angle) and surface roughness were observed as the responses for each of the cutting trials planned as per Taguchi's L-18 orthogonal array. Parameter design was performed using the grey theory based response surface methodology (g-RSM) by following the method of simultaneous optimization to forecast the optimal cutting condition. All the studied parameters and their interactions were found to have a substantial effect on the observed responses. Significant improvements were observed in the responses obtained with the optimal parameter setting predicted by the g-RSM approach. The Atomic force microscopy (AFM) images and P-profile plots were also studied to observe the texture of the cut surface.
引用
收藏
页码:371 / 379
页数:9
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