Optimization of bead geometry of submerged arc weld using fuzzy based desirability function approach

被引：56
|
作者：
Singh, Ankita [1 ]
Datta, Saurav [1 ]
Mahapatra, Siba Sankar [1 ]
Singha, Tapan [2 ]
Majumdar, Gautam [3 ]
机构：
[1] Natl Inst Technol, Dept Mech Engn, Rourkela 769008, India
[2] Jadavpur Univ, Dept Met & Mat Engn, Kolkata 700032, India
[3] Jadavpur Univ, Dept Mech Engn, Kolkata 700032, India
来源：
JOURNAL OF INTELLIGENT MANUFACTURING | 2013年 / 24卷 / 01期
关键词：
Taguchi's robust design; Fuzzy logic; Desirability function; SAW; TAGUCHI METHOD; PROCESS PARAMETERS; QUALITY;
D O I：
10.1007/s10845-011-0535-3
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The present study highlights application of Taguchi's robust design coupled with fuzzy based desirability function approach for optimizing multiple bead geometry parameters of submerged arc weldment. Fuzzy inference system has been adapted to avoid uncertainly, imprecision and vagueness in experimentation as well as in data analysis by traditional Taguchi based optimization approach. Detailed methodology and unique features of the proposed method has been highlighted through a case study. The said approach can efficiently be used in off-line quality control of any production process as well as automation of the process.
引用
收藏
页码：35 / 44
页数：10
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