AN INTEGRATED APPROACH OF GRA COUPLED WITH PRINCIPAL COMPONENT ANALYSIS FOR FRICTION STIR WELDED AM20 MAGNESIUM ALLOY
Abstract
Magnesium alloys possess highly desirable properties and become increasingly popular in various practical applications due to their lightweight nature as a replacement for aluminum alloys. The purpose of this study is to optimize the process parameter to get the better mechanical properties of friction stir welded AM20 magnesium alloy using Taguchi Grey relational analysis (GRA) Coupled with Principal Component Analysis (PCA). The considered process parameters are plunging depth (PD), tool rotation speed (RPM), and welding speed (WS), shoulder diameter (SD), and. The experiments were carried out by using Taguchi's L18 factorial design of experiment. The processes parameters were optimized and ranked the parameters based on the W-GRG. The responses are ultimate tensile strength (UTS), yield strength (YS), percentage of elongation (% E), compressive stress (CS), bending angle, average hardness at the nugget zone (NZ), thermo mechanical affected zone (TMAZ) and heat affected zone (HAZ). Case-1 is preferable when high values of quality parameters are desired, while Case-2 is more suitable when some parameters needs to be low values. The optimal combination of parameters in case-1 is PD1, RPM3, WS3, and SD1, while the optimal combination of parameters in case-2 is PD1, RPM1, WS2, SD1. In both cases, the most influence response in is UTS, while the maximum influence of factor is SD. We suggest further research to be able to use confirmatory experiments so that we can find out how well the new setup is suggested.
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References
R. C. Zeng, J. Chen, W. Dietzel, R. Zettler, J. Santos, M. L. Nascimento and K. U. Kainer, “Corrosion of friction stir welded magnesium alloy AM50,” Corrosion Science, vol. 51, no. 8, pp. 1738-1746, 2009.
A. Dhanapal, S. R. Boopathy and V. Balasubramanian, “Corrosion behaviour of friction stir welded AZ61A magnesium alloy welds immersed in NaCl solutions,” Transactions of Nonferrous Metals Society of China, vol. 22, no. 4, pp. 793-802, 2012.
K. Nakata, “Friction Stir Welding of Magnesium Alloys,” Welding International, vol. 23, no. 5, pp. 328-332, 2009.
H. Zhang, S. B. Lin, L. Wu, J. C. Feng and S. L. Ma, “Defects Formation Procedure and Mathematic Model for Defect Free Friction Stir Welding of Magnesium Alloy,” Materials & Design, vol. 27, no. 9, pp. 805-809, 2006.
A. Dhanapal, S. R. Boopathy and V. Balasubramanian, “Developing an Empirical Relationship to Predict the Corrosion Rate of Friction Stir Welded AZ61A Magnesium Alloy Under Salt Fog Environment,” Material & Design, vol. 32, no. 10, pp. 5066-5072, 2011.
R. S. Mishra and Z. Y. Ma, “Friction Stir Welding and Processing,” Materials Science and Engineering: R: Reports, vol. 50, no. 1-2, pp. 1-78, 2005.
G. Taguchi, Introduction to Quality Engineering: Designing Quality Into Products and Processes, Tokyo: Asian Productivity Organization, 1986.
P. J. Ross, Taguchi Techniques For Quality Engineering: Loss Function, Orthogonal Experiments, Parameter and Tolerance Design, McGraw-Hill., 1996.
C. H. Huang and Y. C. Lin, “Application of Taguchi Method in Parameter Design For Hybrid Laser-Arc Welding of Magnesium Alloy,” International Journal of Advanced Manufacturing Technology, vol. 73, no. 1-4, pp. 67-75, 2014.
H. Yang and J. H. Kim, “Yang, H., & Kim, J. H. (2012). Optimization of Process Parameters Using the Taguchi Method For Sustainable Manufacturing of Photovoltaic Cells,” Journal of Cleaner Production, vol. 33, pp. 94-102, 2012.
J. L. Lin and C. L. Lin, “The Use of Orthogonal Array with Grey Relational Analysis to Optimize the Electrical Discharge Machining Process with Multiple Performance Characteristics,” International Journal of Machine Tools and Manufacture, vol. 42, 2002.
S. Balasubramanian and S. Ganapathy, “Grey Relational Analysis to Determine Optimum Process Parameters for WEDM,” Engineering Science and Technology, vol. 3, 2011.
P. N. Kumar, A. Rajadurai and T. Muthuramalingam, “Multi-Response Optimization on Mechanical Properties of Silica Fly Ash Filled Polyester Composites Using Taguchi-Grey Relational Analysis,” Silicon 10, p. 1723–1729, 2018.
T. R. Paul, A. Saha and H. Majumder, “Multi-Objective Optimization of Some Correlated Process Parameters in EDM of Inconel 800 Using a Hybrid Approach,” J Braz. Soc. Mech. Sci. Eng., vol. 41, p. 300, 2019.
M. Umair, K. Shaker, N. Ahmad, M. Hussain, M. Jabbar and Y. Nawab, “Simultaneous Optimization of Woven Fabric Properties Using Principal Component Analysis.,” Nat. Fibers, vol. 102, pp. 80-89, 2017.
A. Saha and S. C. Mondal, “Multi-Objective Optimization of Manual Metal Arc Welding Process Parameters for Nano-Structured Hardfacing Material Using Hybrid Approach,” Measurement, vol. 102, pp. 80-89, 2017.
R. Adalarasan and A. S. Sundaram, “Parameter Design in Friction Welding of Al/SiC/Al2O3 Composite Using Grey Theory Based Principal Component Analysis (GT-PCA),” Braz. Soc. Mech. Sci. Eng., vol. 37, pp. 1515-1328, 2015.
P. K. Sahu and S. Pal, “Multi-Response Optimization of Process Parameters in Friction Stir Welded AM20 Magnesium Alloy by Taguchi Grey Relational Analysis,” Journal of Magnesium and Alloys, pp. 36-46, 2015.
H. I. Kurt, M. Oduncuoglu, N. F. Yilmaz, E. Ergui and R. Asmatulu, “A Comparative Study on the Effect of Welding Parameters of Austenitic Stainless Steels Using Artificial Neural Network and Taguchi Approaches with ANOVA Analysis,” Metals, vol. 8, no. 5, p. 326, 2018.
K. Nandagopal and C. Kailasanathan, “Analysis of Mechanical Properties and Optimization of Gas Tungsten Arc welding (GTAW) Parameters on Dissimilar Metal Titanium (6Alsingle bond4V) and Aluminium 7075 by Taguchi and ANOVA Techniques,” Journal of Alloys and Compounds, vol. 682, pp. 503-516, 2016.
S. Pandiarajan, S. S. Kumaran, L. A. Kumar and R. Saravanan, “Interfacial microstructure and optimization of friction welding by Taguchi and ANOVA method on SA 213 tube to SA 387 tube plate without backing block using an external tool,” Journal of Alloys and Compounds, vol. 654, pp. 534-545, 2016.
M. Satheesh and J. Dhas, “Multi Objective Optimization of Weld Parameters of Boiler Steel Using Fuzzy Based Desirability Function,” Journal of Engineering Science and Technology Review, pp. 29-36, 2014.
S. Panda, D. Mishra and B. B. Biswal, “Determination of Optimum Parameters With Multi-Performance Characteristics in Laser Drilling - A Grey Relational Analysis Approach,” The International Journal of Advanced Manufacturing Technology, vol. 54, no. 9, pp. 957-967, 2011.
M. Sarıkaya and A. Güllü, “Multi-response optimization of minimum quantity lubrication parameters using Taguchi-based grey relational analysis in turning of difficult-to-cut alloy,” Clean. Prod., vol. 91, pp. 347-357, 2015.
K. Palanikumar, B. Latha, V. Senthilkumar and J. P. Davi, “Analysis on drilling of glass fiber–reinforced polymer (GFRP) composites using grey relational analysis,,” Mtaterial Manufacturing Process, vol. 7, p. 297–305, 2012.
M. Umair, K. Shaker, N. Ahmad and M. Hussain, “Simultaneous optimization of woven fabric properties using principal component analysis,” Nat. Fibers, vol. 14, p. 846–857, 2017.
S. A. Sonawane and M. Kulkarni, “Optimization of machining parameters of WEDM for Nimonic-75 alloy using principal component analysis integrated with Taguchi method,” King Saud Univercity English Science, vol. 30, p. 250–258, 2018.
W. J. Lee, G. P. Mendis, M. J. Triebe and J. W. Sutherland, “Monitoring of a machining process using kernel principal component analysis and kernel density estimation,” Intelligent Manufacturing, vol. 31, p. 1–15, 2019.
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