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Abstract

 In the present work, an attempt has been made to use the grey-based fuzzy logic method to solve correlated multiple response optimization problems in the field of flux cored arc welding. This approach converts the complex multiple objectives into a single grey-fuzzy reasoning grade. Based on the grey-fuzzy reasoning grade, optimum parameters are identified. The significant contributions of parameters are estimated using analysis of variance (ANOVA). This evaluation procedure can be used in intelligent decision making for a welding operator. The proposed and developed method has good accuracy and competency. The proposed technique provides manufacturers who develop intelligent manufacturing systems a method to facilitate the achievement of the highest level of automation.

 

Keywords

ANOVA Deposition rate Flux cored arc welding Fuzzy Hardness Full factorial design.

Article Details

How to Cite
Satheesh, M., & Dhas, J. (2014). Multi Objective Optimization of Flux Cored Arc Weld Parameters Using Hybrid Grey - Fuzzy Technique. The Journal of Engineering Research [TJER], 11(1), 23–33. https://doi.org/10.24200/tjer.vol11iss1pp23-33
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