Volume 47 Issue 2
Apr.  2026
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JIA Haishen, LIU Limei, GUO Wenjing, ZHANG Jilin, YI Xiangbin, LUO Wencui. Constitutive modeling of high-temperature flow behavior of Fe-27Mn-10Al-1.0C lightweight steel based on the fields-backofen model[J]. IRON STEEL VANADIUM TITANIUM, 2026, 47(2): 143-152, 163. doi: 10.7513/j.issn.1004-7638.2026.02.016
Citation: JIA Haishen, LIU Limei, GUO Wenjing, ZHANG Jilin, YI Xiangbin, LUO Wencui. Constitutive modeling of high-temperature flow behavior of Fe-27Mn-10Al-1.0C lightweight steel based on the fields-backofen model[J]. IRON STEEL VANADIUM TITANIUM, 2026, 47(2): 143-152, 163. doi: 10.7513/j.issn.1004-7638.2026.02.016

Constitutive modeling of high-temperature flow behavior of Fe-27Mn-10Al-1.0C lightweight steel based on the fields-backofen model

doi: 10.7513/j.issn.1004-7638.2026.02.016
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  • Received Date: 2026-01-08
  • Accepted Date: 2026-02-03
  • Rev Recd Date: 2026-01-25
  • Available Online: 2026-04-29
  • Publish Date: 2026-04-29
  • To characterize the high-temperature flow behavior of Fe-27Mn-10Al-1.0C lightweight steel, high-temperature compression tests were performed using a Gleeble-3800 thermal simulation testing system under experimental conditions of 850-1050 ℃ and 0.01-10 s−1. Based on the Fields-Backofen (FB) model, a constitutive modeling study was conducted using the experimental data. By introducing a temperature softening term and accounting for the strain effects as well as the coupling effects of strain, strain rate, and temperature on model parameters, a modified M-FB model was successfully established. The prediction accuracy of the M-FB model was validated using statistical parameters, including the correlation coefficient (R), average absolute relative error (AARE), and relative error (RE). The research results indicate that Fe-27Mn-10Al-1.0C lightweight steel is significantly sensitive to strain, strain rate, and deformation temperature. The predicted data of the M-FB model are highly consistent with the experimental data, and it can be reliably applied to predict its high-temperature flow behavior.
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