Flow stress behavior and constitutive modeling of 20MnNiMo low carbon alloy

• Published in: Journal of Central South University Vol. 23; no. 8; pp. 1863 - 1872
• Main Authors: Wang, Meng-han, Wang, Gen-tian, Wang, Rui
• Format: Journal Article
• Language: English
• Published: Changsha Central South University 01.08.2016; Springer Nature B.V
• Subjects: Artificial neural networks; Carbon content; Chemical and Environmental Engineering; Compression tests; Constitutive relationships; Correlation coefficients; Deformation; Engineering; Materials; Metallic Materials; Metallurgy; Strain rate; True strain; True stress; Yield strength; Johnson-Cook model; flow stress behavior; constitutive model; Arrhenius model; pressure vessel steel
• ISSN: 2095-2899; 2227-5223
• DOI: 10.1007/s11771-016-3241-7

The hot deformation behavior of 20MnNiMo low carbon alloy was investigated by isothermal compression tests over wide ranges of temperature (1223-1523 K) and strain rate (0.01-10 s -1 ). According to the experimental true stress-true strain data, the constitutive relationships were comparatively studied based on the Arrhenius-type model, Johnson-Cook (JC) model and artificial neural network (ANN), respectively. Furthermore, the predictability of the developed models was evaluated by calculating the correlation coefficient ( R ) and mean absolute relative error (AARE). The results indicate that the flow stress behavior of 20MnNiMo low carbon alloy is significantly influenced by the strain rate and deformation temperature. Compared with the Arrhenius-type model and Johnson-Cook (JC) model, the ANN model is more efficient and has much higher accuracy in describing the flow stress behavior during hot compressing deformation for 20MnNiMo low carbon alloy.