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.
Recommended Citation
Satheesh, M and Dhas, JER
(2014)
"Multi Objective Optimization of Flux Cored Arc Weld Parameters Using Hybrid Grey - Fuzzy Technique,"
The Journal of Engineering Research: Vol. 11:
Iss.
1, Article 6.
DOI: https://doi.org/10.24200/tjer.vol11iss1pp23-33
First Page
23
Last Page
33
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
