采用物理冶金模型结合二维温度场对ASP(Angang Strip Production)热轧X70管线钢再结晶、相变等物理冶金过程进行了模拟,并结合BP神经网络对最终的力学性能进行了预测.研究表明,实验钢在层流冷却前的奥氏体晶粒尺寸为10～25 pm,板带横断面奥氏体晶粒尺寸分布不均匀,心部的奥氏体晶粒尺寸比角部大15 μm左右;在给定冷却速率的情况下采用前段冷却方式得到的铁素体分数比后段冷却方式大2%～5%;采用BP神经网络可以把伸长率预测结果相对误差标准差提高1.8% ;Si含量0.2%～0.3%成为其对力学性能影响的转折点.
参考文献
| [1] | 许云波,刘相华,王国栋,谢瑞萍,金永春.热轧中厚板组织-性能预测及软件开发[J].钢铁,2006(03):51-54. |
| [2] | 曲锦波,王昭东,刘相华,王国栋,薛贵军,曹刚,陈奎凡,徐建国.HSLA钢板控轧控冷生产中组织性能的预测模型[J].钢铁,1999(01):35-38. |
| [3] | 郑晖,王昭东,王国栋,刘相华,张丕军,刘孝荣.利用人工神经网络模型预测SS400热轧板带力学性能[J].钢铁,2002(07):37-40,53. |
| [4] | 刘振宇;许云波;王国栋.热轧钢材组织-性能演变的模拟和预测[M].沈阳:东北大学出版社,2004 |
| [5] | Rasit Koker;Necat Altinkok;Adem Demir .Neural network based prediction of mechanical properties of particulate reinforced metal matrix composites using various training algorithms[J].Materials & Design,2007(1):616-627. |
| [6] | K.Minami .Mathematical Modeling of Mean Flow Stress during the Hot Strip Rolling of Nb Steels[J].ISIJ International,1996(12):1507-1517. |
| [7] | Hodgson P D;Gibbs R K .A Mathematical model to predict the mechanical properties of hot rolled C-Mn and microalloyed steels[J].ISIJ International,1992,32(12):1329-1338. |
| [8] | Senuma T;Suehiro M;Yada H .Mathematical models for predicting microstructural evolution and mechanical properties of hot strips[J].ISU International,1992,32(03):423-432. |
| [9] | M.MILITZER;R. PANDI .Ferrite Nucleation and Growth During Continuous Cooling[J].Metallurgical and Materials Transactions, A. Physical Metallurgy and Materials Science,1996(6):1547-1556. |
| [10] | R. P. Garrett;S. Xu;J. Lin;T. A. Dean .A model for predicting austenite to bainite phase transformation in producing dual phase steels[J].International Journal of Machine Tools & Manufacture: Design, research and application,2004(7/8):831-837. |
上一张
下一张
上一张
下一张
计量
- 下载量()
- 访问量()
文章评分
- 您的评分：
-
10%
-
20%
-
30%
-
40%
-
50%