ISSN:1003-8620

CN:42-1243/TF

主管:中信泰富特钢集团股份有限公司

主办:大冶特殊钢有限公司

特殊钢 ›› 2005, Vol. 26 ›› Issue (5): 19-22.

• 试验研究 • 上一篇    下一篇

高碳钢连铸坯加热脱碳的有限元模拟

黄灿1,杭乃勤1,张细菊1,刘丹1,熊建良2,董素梅2,欧阳标2   

  1. 1. 武汉科技大学材料与冶金学院,武汉 430081;
    2. 武汉钢铁(集团)公司,武汉 430083;
  • 收稿日期:2005-01-26 出版日期:2005-10-01 发布日期:2023-03-31
  • 通讯作者: 杭乃勤
  • 作者简介:黄灿(1980-),女,在读硕士研究生,从事材料加工过程仿真研究。

Finite Element Simulation on Decarburization of Concasting Billet of High Carbon Steel during Reheating

Huang Can1 , Hang Naiqin1 , Zhang Xiju1 , Liu Dan1 , Xiong Jianliang2 , Dong Sumei2 , Ouyang Biao2   

  1. 1. School of Materials Science and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081;
    2. Wuhan Iron and Steel (Group) Co, Wuhan 430083;
  • Received:2005-01-26 Published:2005-10-01 Online:2023-03-31
  • Contact: Hang Naiqin

摘要: 进行了0.72%C-1.30%MnU71Mn高碳钢250 mm×280 mm×6000 mm连铸坯加热时的传热有限元模拟和通过非线性回归分析,得出钢坯在加热后钢坯脱碳深度d (mm)与加热前脱碳深度d(mm)、钢坯表面温度 T(K)和加热时间 t (min)之间关系的数学模型: d=d0+(2.132×10-7T2-0.0002T+0.0163)·(0.208 t0.5-d0)。实测结果表明,模型的相对预报误差≤3.2%。根据模型计算得出铸坯的优化工艺为预热段1150℃ 86min,加热段1250℃ 131min,均热段1230℃ 68min。检验结果表明,采用优化工艺,成品脱碳深度可降低20%左右。

关键词: 有限元模拟, 铸坯, 温度分布, 脱碳深度, 预报模型

Abstract: The finite element simulation of heat transfer during heating of 250 mm x 280 mm x 6 000 mm concasting billet of 0.72C-1.30Mn high carbon steel U71Mn has been carried out and by non-linear regression analysis, the mathematical model for relation between decarburization depth d (mm) of steel billet with decarburization depth d0(mm) before reheating, surface temperature T (K) of billet and reheating time: d=d0+(2.132×10-7T2-0.0002T+0.0163)·(0.208 t0.5-d0) is obtained. Hie measured results showed that the relative prediction error was ≤3.2% . Based on calculation by the model, it is obtained that the optimum reheating procedure is 1150 °C for 86 min at preheating zone, 1250 °C for 131 min at heating zone and 1230 °C for 68 min at soaking zone. The examination results showed that using optimum reheating procedure the decarburization of products decreased about 20%.

Key words: Finite Element Method, Casting Billet, Temperature Distribution, Decarburization Depth, Prediction Model