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

被引：1
|
作者：
Ankita Singh
Saurav Datta
Siba Sankar Mahapatra
Tapan Singha
Gautam Majumdar
机构：
[1] National Institute of Technology,Department of Mechanical Engineering
[2] Jadavpur University,Department of Metallurgy and Materials Engineering
[3] Jadavpur University,Department of Mechanical Engineering
来源：
Journal of Intelligent Manufacturing | 2013年 / 24卷
关键词：
Taguchi’s robust design; Fuzzy logic; Desirability function; SAW;
D O I：
暂无
中图分类号：
学科分类号：
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.
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页码：35 / 44
页数：9
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