Journal
JOURNAL OF INTELLIGENT MANUFACTURING
Volume 24, Issue 1, Pages 35-44Publisher
SPRINGER
DOI: 10.1007/s10845-011-0535-3
Keywords
Taguchi's robust design; Fuzzy logic; Desirability function; SAW
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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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