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Microstructure evolution in deformed and recrystallized electrical steel.

机译:变形和再结晶电工钢的显微组织演变。

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摘要

A processing route has been developed for recovering the desired lambda fiber in iron-silicon electrical steel needed for superior magnetic properties in electric-motor application. The lambda fiber texture is available in directionally solidified iron-silicon steel with the 001> columnar grains but was lost after heavy rolling and recrystallization required for motor laminations. Two steps of light roiling each followed by recrystallization were found to largely restore the desired fiber texture. This strengthening of the 001> fiber texture had been predicted on the basis of the strain induced boundary migration mechanism during recrystallization of lightly rolled steel from existing grains of near the ideal orientation, due to postulated low stored energies. Taylor and finite element models supported the idea of the low stored energy of the lambda fiber grains. A novel methodology has been developed for converting the nanoindentation load-displacement data into indentation stress-strain curves and extracting the elastic and post-elastic behavior. Extracted variations of effective indentation modulus with orientation were in excellent agreement with previously developed model. Furthermore, an intrinsic orientation dependence of indentation yield strength was extracted in a strain-free material. Developed nanoindentation methodology was successfully used for characterization of microstructure evolution in terms of stored energy variation with orientation during plane strain compression. Variations in stored energy at the grain-scale level were extracted from an increment in indentation yield due to increase in dislocation density. It was found that nanoindentation yield strength is about 2 times the yield strength of homogeneous compression. Moreover, higher indentation yield strength was observed in regions that have rotated during deformation to non-lambda orientations with higher Taylor factors. Experimental results have supported idea of correlation between the Taylor factor and stored energy that was used in multistage processing for successful recovery of lambda texture. Hypothesis for observed much higher strain hardening in nanoindentation than in homogeneous plane strain compression is that the rate of generation of new dislocations is dependent on the dislocation density alone while the rate of annihilation of dislocation is strongly dependent on both dislocation density and the type of dislocations being generated which can be influenced by deformation mode.
机译:已经开发出一种用于回收铁硅电工钢中所需的拉姆达纤维的加工路线,这是电动机应用中优异的磁性能所需要的。 λ纤维织构可用于具有<001>柱状晶粒的定向凝固铁硅钢中,但在进行电机层压所需的大量轧制和重结晶后会丢失。发现两步轻轧,然后再结晶,可以在很大程度上恢复所需的纤维质地。根据假定的低储能,在轻轧钢从理想取向附近的现有晶粒重结晶过程中,应变诱导的边界迁移机制是基于应变诱导的边界迁移机制的预测的。泰勒(Taylor)和有限元模型支持lambda纤维颗粒的低储能理念。已经开发出一种新颖的方法,用于将纳米压痕载荷-位移数据转换为压痕应力-应变曲线并提取弹性和后弹性行为。有效压痕模量随方向的变化提取与先前开发的模型非常吻合。此外,在无应变的材料中提取了压痕屈服强度的固有取向依赖性。所开发的纳米压痕方法已成功用于表征微观结构的演化,即在平面应变压缩过程中随着方向的存储能量变化。由于位错密度的增加,从压痕产量的增加中提取了晶粒度级上储能的变化。发现纳米压痕屈服强度约为均匀压缩的屈服强度的2倍。此外,在变形过程中旋转到具有较高泰勒系数的非λ方向的区域中观察到较高的压痕屈服强度。实验结果支持了泰勒因子与储能之间相关性的想法,该储能用于多阶段加工中以成功恢复λ纹理。在纳米压痕中观察到的比在均匀平面应变压缩中​​高得多的应变硬化的假设是,新位错的产生速率仅取决于位错密度,而位错location灭的速率强烈取决于位错密度和位错类型会受到变形模式的影响。

著录项

  • 作者

    Stojakovic, Dejan.;

  • 作者单位

    Drexel University.;

  • 授予单位 Drexel University.;
  • 学科 Engineering Metallurgy.;Engineering Materials Science.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 87 p.
  • 总页数 87
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 冶金工业;工程材料学;
  • 关键词

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