Abstract
Advanced High Strength Steels (AHSSs) have been developed to offer high strength and formability for automotive and aerospace applications. This work proposes a methodology to improve the mechanical performances of welded TWIP/Dual Phase steels by a hybrid laser/MAG process. The Response Surface Methodology (RSM) and the Grey Relational Analysis (GRA) have been used to predict the tensile strength and elongation at fracture of the TWIP/DP joints and compared each other. A grey factorial plan has been used to perform the experimental welding tests. From the regression analysis, the determination coefficient is higher than 86%, indicating a high correlation between the experimental and predicted values. From the optimization analysis, the best combination of process parameters is 2.25 kW and 3.3 m/min for the statistical analysis, while 2 kW and 3 m/min for the grey analysis, which lead to quite similar UTS and maximum strain values. The RSM and GRA methodology are both suitable for predicting responses in the case of gray systems.
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Acknowledgments
This work was supported by the grant ERASMUS+ Strategic Partnership Key Action 2, number: 2021-1-RO01-KA220-HED-000032181, ALLIES, financed by the European Union.
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Contuzzi, N., Casalino, G., Russo Spena, P. (2023). Grey Relational Analysis vs. Response Surface Methodology for the Prediction of the Best Joint Strength in Hybrid Welding of TWIP/DP Steels. In: Borgianni, Y., Matt, D.T., Molinaro, M., Orzes, G. (eds) Towards a Smart, Resilient and Sustainable Industry. ISIEA 2023. Lecture Notes in Networks and Systems, vol 745. Springer, Cham. https://doi.org/10.1007/978-3-031-38274-1_2
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DOI: https://doi.org/10.1007/978-3-031-38274-1_2
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