PSI - Issue 41

Abdelmoumene Guedri et al. / Procedia Structural Integrity 41 (2022) 564–575 Abdelmoumene Guedri et al. / Structural Integrity Procedia 00 (2022) 000–000

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domain. The evolution of the two characteristics is conditioned by the proportion of the phase  and  at a given temperature as well as by the synergistic effect with the precipitates and the segregation of the elements. On the other hand, in the austenitic field, the increase in temperature causes an improvement in the ductility, resulting in a reduction in the limit stress at the break deformation. A model based on artificial neural networks has been developed in order to predict the response of the deformation of micro-alloyed steel subjected to hot tensile. The experimental data ranges from 700 to 1050°C in temperature for strain rate values of 9.8 x 10 -3 s -1 , 1.96x10 -3 s -1 and 4.9 x 10 -4 s -1 . The output variable of the ANN model is the tensional flow stress and the input variables are temperature, strain rate and strain. The Levenberg Marquardt algorithm was used to train the model. The ANN model predicts well the flow stress behavior of the deforming material. We can conclude with confidence that the proposed model can reliably predict the deformation response of the micro-alloyed steel under hot tensile. References Allaoui, A., Guedri, A., Darsouni, L., Darsouni, A., 2019. ANN Approach to Predict the Flow Stress of CMn (Nb-Ti-V) Micro Alloyed Steel, Frattura ed Integrità Strutturale, 13(49), pp. 350–359. Doi: 10.3221/IGF-ESIS.49.35. Li, T., Liu, G., Xu, M., Wang, B., Fu, T., Wang, Z., Misra, R.D.K., 2018. Flow Stress Prediction and Hot Deformation Mechanisms in Ti-44Al 5Nb-(Mo, V, B) Alloy. Materials, 11, 2044. Doi: 10.3390/ma11102044. Liao, B.; Cao, L.; Wu, X.; Zou, Y.; Huang, G.; Rometsch, P.A.; Couper, M.J.; Liu, Q., 2019. Effect of Heat Treatment Condition on the Flow Behavior and Recrystallization Mechanisms of Aluminum Alloy 7055. Materials, 12, 311. Doi: 10.3390/ma12020311. Lin, Y.C., Chen, X.M., 2011. A critical review of experimental results and constitutive descriptions for metals and alloys in hot working, Mater. Des., 32, 1733–1759. Doi: 10.1016/j.matdes.2010.11.048. Mirzadeh, H., Najafizadeh, A., 2010. Flow stress prediction at hot working conditions, Materials Science and Engineering: A, 527, pp. 1160– 1164. Doi: 10.1016/j.msea.2009.09.060. Pater, Z., Gontarz, A., 2019. Critical Damage Values of R200 and 100Cr6 Steels Obtained by Hot Tensile Testing. Materials, 12, 1011. Doi/10.3390/ma12071011 Ping-Hua, Y., Thèse de doctorat, E.N.S.M. Saint-Etienne, France, 1989. Portevin, P.A., Rapport IRSID RE 40, 1970. Quan, Z., G., Zhang, Q., Pan, J., Xia, Y., 2015. Modelling the Hot Flow Behaviors of AZ80 Alloy by BP-ANN and the Applications in Accuracy Improvement of Computations. Materials Research. 18 (6), pp. 1331-1345. Doi: 10.1590/1516-1439.040015. Sellars, C.M., "The Physical Metallurgy of Hot Working", Hot Working and Forming Processes, Sheffield, UK, pp. 3-15, 1980. Trombert, C., Thèse de Doctorat E.N.S.M. Saint-Etienne, 1988. Vedani, M., Ripamonti, D., Mannucci, A., Dellasega, D., 2008. Hot ductility of microalloyed steels. La Metallurgia Italiana May, 4.pp.19-24. Zhang Z, Sheng H, Wang Z, Gludovatz B, Zhang Z, George EP, Yu Q, Mao SX, Ritchie RO. Dislocation mechanisms and 3D twin architectures generate exceptional strength-ductility-toughness combination in CrCoNi medium-entropy alloy. Nat Commun. 2017 Feb 20;8:14390. Doi: 10.1038/ncomms14390. Zhang, J., Wang, Y., Zhang, B., Huang, H., Chen, J., Wang, P., 2018. Strain rate sensitivity of tensile properties in Ti-6.6Al-3.3Mo-1.8Zr-0.29Si Alloy: Experiments and constitutive modeling. Materials, 11, 1591. Doi: 10.3390/ma11091591.