首页> 外文会议>International Conference on Textures of Materials >Quantitative prediction of deformed austenite and transformed ferrite texture in hot-rolled steel sheet
【24h】

Quantitative prediction of deformed austenite and transformed ferrite texture in hot-rolled steel sheet

机译:热轧钢板变形奥氏体和转化铁氧体纹理的定量预测

获取原文

摘要

A model to quantitatively predict ferrite (α) textures in hot-rolled steel sheets has been developed. In this model, the crystal plasticity model, called 'Grain Interaction model (GIA)', and the transformation texture model, called 'Double K-S relation (DKS)', are linked together. The deformed austenite (γ) texture is predicted by GIA with taking not only the standard {111}<110> slip system but also non-octahedral slip systems into account. Then the transformed a texture is calculated by DKS, in which a nucleated a prefers to have orientation relationship near the Kurdjumov-Sachs relation with both of two neighboring γ grains. For validation, single pass hot-rolling tests on a C-Si-Mn steel were carried out. The comparison between the predicted and the experimental textures shows that the linked model (GIA & DKS) can lead to a remarkable reproduction of the texture of hot-rolled steel sheets.
机译:已经开发了一种用于定量预测热轧钢板中铁氧体(α)纹理的模型。在该模型中,称为“谷物交互模型(GIA)”的晶体塑性模型和称为“双K-S关系(DKS)”的变换纹理模型。通过GIA预测变形的奥氏体(γ)纹理,不仅具有标准{111} <110>滑动系统,还预测了非八面体滑动系统。然后,DKS计算变换的纹理,其中核心的A含有与kurdjumov-sachs与两个相邻γ粒子相对附近的取向关系。为了验证,进行C-Si-Mn钢上的单通热轧试验。预测和实验纹理之间的比较表明,连接模型(GIA和DKS)可以导致热轧钢板纹理的显着繁殖。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号