Multi Objective Optimization of Flux Cored Arc Weld Parameters Using Hybrid Grey - Fuzzy Technique

M Satheesh, JER Dhas

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.

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References


Ahilan C, Kumanan S (2009), Multi-objective optimization of CNC turning process using grey based fuzzy logic. International Journal of Machining and Machinability of Materials 5(4):434-451.

Ankita S, Saurav D, Siba SM, Tapan S, Gautam M (2013), Optimization of bead geometry of submerged arc weld using fuzzy based desirability function approach. Journal of Industrial Manufacturing 24:35-44.

Antony J (2000), Multi-response optimization in industrial experiments using Taguchi's quality loss function and principal component analysis. International Journal of Quality Reliability Engineering 16:3-8.

Baskar N, Asokan P, Saravanan R, Prabhaharan G (2005), Optimization of machining parameters for milling operations using non-conventional methods. Int. J. Adv. Manuf. Technol. 25:1078- 1088.

Chen MF, Ho YS, Hsiao WT, Wu TH, Tseng SF, Huang KC (2011), Optimized laser cutting on light guide plates using grey relational analysis. Optics and Lasers in Engineering 49(2):222-228.

Chiang KT, Liu NM, Chou CC (2008), Machining parameters optimization on the die casting process of magnesium alloy using the grey-based fuzzy algorithm. International Journal of Advanced Manufacturing Technology 38:229-237.

Chiang YM, Hsieh HH (2009), The use of the Taguchi method with grey relational analysis to optimize the thin-film sputtering process with multiple quality characteristic in color filter manufacturing. Computers and Industrial Engineering 56(2):648- 661.

Deng J (1989), Introduction to grey system. Journal of Grey System 1:1-24.

Dubois D, Prade HM (1980), Fuzzy sets and systems: Theory and Applications, Academic Press, New York.

Fisher RA (1925), Statistical method for research worker. Oliver & Boyd, London.

Ghosal S, Chaki S (2010), Estimation and optimization of depth of penetration in hybrid CO2 LASER-MIG welding using ANN-optimization hybrid model. International Journal of Advanced Manufacturing Technology 47:1149-1157.

Houldcroft PT (1990), Submerged-arc welding. Woodhead Publishing Ltd, England.

Kasman S (2013), Erratum to: Multi-response optimization using the Taguchi-based grey relational analysis: a case study for dissimilar friction stir butt welding of AA6082-T6/AA5754-H111. The International Journal of Advanced Manufacturing Technology, DOI 10.1007/s00170-013-4963-4.

Krishnamoorthy A, Boopathy SR, Palanikumar K, Davim JP (2012), Application of grey fuzzy logic for the optimization of drilling parameters for CFRP composites with multiple performance characteristics. Measurement 45(5):1286-1296.

Liao HC (2006), Multi-response optimization using weighted principal component. International Journal of Advanced Manufacturing Technology 27:720-725.

Lin CL, Lin JL (2005), The use of grey-fuzzy logic for optimization of the manufacturing process. Journal of Material Processing Technology 160:9- 14.

Murugan N, Parmar RS (1994), Effects of MIG process parameters on the geometry of the bead in the automatic surfacing of stainless steel. Journal of Material Processing Technology 41:381-398.

Nadkarni SV (1988), Modern welding technology, Oxford & IBH Publishing Co. Pvt. Ltd, New Delhi.

Parmar RS (1999), Welding processes and technology. Khanna Publishers, New Delhi.

Patnaik A, Biswas S, Mahapatra SS (2007), An evolutionary approach to parameter optimization of submerged arc welding in the hardfacing process. Int. J. Manuf. Res. 2:462-483.

Sait AN, Aravindan S, Noorul Haq A (2009), Optimization of machining parameters of glassfibre- reinforced plastic (GFRP) pipes by desirability function analysis using Taguchi technique. International Journal of Manufacturing Technology 43:581-589.

Sourav D, Ashis B, Pradip KP (2008), Solving multicriteria optimization problem in Submerged arc welding consuming a mixture of fresh and fused slag. International of manufacturing technology 35:935-942.

Tsai WC (2011), A fuzzy ranking approach to performance evaluation of quality. International Journal of Industrial Engineering 18(9).

Welding Handbook. (1978), American Welding Society, 2.

Zadeh L (1965), Fuzzy sets, Information Control 8:338-353.

Zimmermann HJ (1985), Fuzzy set theory and its applications, Kluwer, London.




DOI: http://dx.doi.org/10.24200/tjer.vol11iss1pp23-33

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