中南大学学报（自然科学版）2017，Vol.48Issue(3)：592-600,9.DOI:10.11817/j.issn.1672-7207.2017.03.006
Mn-Ni-Mo系核电用钢高温流变行为及热加工图
Hot deformation and processing map of Mn-Ni-Mo system nuclear power steel
摘要
Abstract
The hot deformation behavior of Mn-Ni-Mo system nuclear power steel was conducted at 950-1250℃ and strain rates of 0.01-10 s-1. Combining Arrhenius hyperbolic sine constitutive equation, the response mechanism of activation energyQ, structural factorA, materials constantsn andα on the strain were obtained through multiple linear regression analysis, and the Arrhenius model of flow stress with variable parameters was established. At the same time, the artificial neural network (ANN) model was developed based on the true stress-strain curves, where the inputs parameters were deformation temperature (T), strain rate ((ε)), strain ((ε)), and flow stress (σ) was the output parameter. The results show that the ANN model is more accurate in predicting the flow stress, and the average relative error is 2.53%. Based on the dynamic material model (DMM), the processing map of the studied alloy at strain 0.9 is constructed to recognize optimum hot deformation process parameters: deformation temperate ranges of 950-1250℃ and strain rates of 0.06-0.3 s-1 with a peak power dissipate efficiency (η) of about 0.54, deformation temperate ranges of 1100- 1250℃and strain rates of 0.3-1 s-1 with a peak power dissipate efficiency (η) of about 0.44.关键词
Mn-Ni-Mo系核电钢/本构模型/神经网络/热加工图Key words
Mn-Ni-Mo system nuclear power steel/constitutive model/artificial neural network/hot processing map分类
矿业与冶金引用本文复制引用
王梦寒,王根田,王瑞,孟烈..Mn-Ni-Mo系核电用钢高温流变行为及热加工图[J].中南大学学报（自然科学版）,2017,48(3):592-600,9.基金项目
中央高校基本科研业务费专项资助项目(CDJZR14130006) (Project(CDJZR14130006) supported by the Fundamental Research Funds for the Central Universities of China) （CDJZR14130006）
