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.

Grey Relational Analysis vs. Response Surface Methodology for the Prediction of the Best Joint Strength in Hybrid Welding of TWIP/DP Steels / Contuzzi, N.; Casalino, G.; Russo Spena, P.. - ELETTRONICO. - 745:(2023), pp. 12-22. (Intervento presentato al convegno Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023 tenutosi a ita nel 2023) [10.1007/978-3-031-38274-1_2].

Grey Relational Analysis vs. Response Surface Methodology for the Prediction of the Best Joint Strength in Hybrid Welding of TWIP/DP Steels

Contuzzi N.
Writing – Original Draft Preparation
;
Casalino G.
Writing – Original Draft Preparation
;
2023-01-01

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.
2023
Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023
978-3-031-38273-4
978-3-031-38274-1
Grey Relational Analysis vs. Response Surface Methodology for the Prediction of the Best Joint Strength in Hybrid Welding of TWIP/DP Steels / Contuzzi, N.; Casalino, G.; Russo Spena, P.. - ELETTRONICO. - 745:(2023), pp. 12-22. (Intervento presentato al convegno Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023 tenutosi a ita nel 2023) [10.1007/978-3-031-38274-1_2].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/262325
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