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An experimental study of hot rolling with low finishing temperature of an extra-low carbon steel.

机译:超低碳钢低终轧温度热轧的实验研究。

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摘要

For the purpose of improving the physical and mechanical properties of extra-low carbon electrical steels, rolling at low finishing temperatures is unavoidable. In order to overcome the attendant problems in gauge control, which are ascribed to the difficulty in accurate prediction of the flow stress in the two-phase region, two critical phenomena should be considered: (1) Under what circumstances will the phase transformation from ;To answer the first equation, the effects of initial grain size, cooling rate, deformation conditions and static recrystallization on the phase transformation temperature are investigated. It is shown that only two variables, residual strain and cooling rate, dominate the phase transformation temperature. When the residual strain is below a critical value, the Ar;Based on the assumption that the cooling rate varies linearly from the starting to the finishing point during phase transformation, thermal analysis of cooling curves is carried out and a variable X;The average flow stresses in the austenite and ferrite region are measured and modelled successfully by a neural network, called the flow network. The average flow temperatures in the roll bite under different conditions are calculated by a finite element program and the database is handled by a neural network, called the temperature network. The adapted geometric multipliers, Q
机译:为了改善超低碳电工钢的物理和机械性能,不可避免地要在低精加工温度下进行轧制。为了克服仪表控制中伴随的问题,即由于难以准确预测两相区中的流应力,应考虑两个关键现象:(1)在什么情况下相变?为了回答第一个方程,研究了初始晶粒尺寸,冷却速率,变形条件和静态再结晶对相变温度的影响。结果表明,只有两个变量(残余应变和冷却速率)支配着相变温度。当残余应变低于临界值时,Ar;基于相变过程中冷却速率从起点到终点线性变化的假设,对冷却曲线进行热分析并得出变量X;平均流量奥氏体和铁素体区域的应力可以通过称为流动网络的神经网络成功进行测量和建模。轧辊咬合在不同条件下的平均流动温度由有限元程序计算,而数据库由称为温度网络的神经网络处理。调整后的几何倍数Q

著录项

  • 作者

    Hwu, Yhu-Jen.;

  • 作者单位

    University of Waterloo (Canada).;

  • 授予单位 University of Waterloo (Canada).;
  • 学科 Engineering Mechanical.;Engineering Metallurgy.
  • 学位 Ph.D.
  • 年度 1995
  • 页码 287 p.
  • 总页数 287
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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