Disparity in recrystallization of α- & γ-fibers and its impact on Cube texture formation in non-oriented electrical steel
Source abstract
Abstract
Abstract An investigation into the recovery and recrystallization of the two major texture fibres, namely α and γ, during annealing yielded subtle differences between the two. It is reported that with thermal activation static recovery occurs, where dislocation free sub-grains are formed and tend to grow, coalesce, or bulge out. This can form new strain-free recrystallisation nuclei, with the coalescence or bulging phenomenon depending on stored energy and geometrically dislocation density (GND). Due to low lattice curvature or otherwise, it was found α-fiber has low stored energy and GND values which favours bulging into neighbouring deformed grains as opposed to subgrain coalescence. In contrast, γ-fiber tends to undergo rapid subgrain coalescence due to high lattice curvature, i.e., GND and stored energy. The newly formed grains from both texture fibers were also found to typically differ in size, as γ-fiber has a much higher nucleation rate with rapid subgrain coalescence. Furthermore, it was discovered that Cube texture component though nucleating in higher rates within α-fiber, nucleates in all regions of high dislocation densities but will only survive in regions with low recovery and nucleation rates, typically α-fiber. Moreover, Goss texture component was found to preferentially nucleate from γ-fiber.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Magnetic Properties and Applications · Microstructure and Mechanical Properties of Steels · Microstructure and mechanical properties
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (48)
Show source-provided references
1. Recrystallization kinetics and microstructure evolution during annealing of a cold-rolled Fe-Mn-C alloy10.1016/j.actamat.2011.01.063 ↗
2. Recovery and recrystallization in commercial purity aluminum cold rolled to an ultrahigh strain10.1016/j.actamat.2013.05.024 ↗
3. Recrystallization and texture in a ferritic stainless steel: an EBSD Study10.1002/adem.200300377 ↗
4. Quasi in-situ analysis of geometrically necessary dislocation density in α-fibre and γ-fibre during static recrystallization in cold-rolled low-carbon Ti-V bearing microalloyed steel10.1016/j.matchar.2018.09.032 ↗
5. Deformation banding and recrystallization of α fibre components in heavily rolled IF steel10.1016/j.actamat.2004.05.017 ↗
6. Strain induced grain boundary migration in high purity aluminum10.1063/1.1699614 ↗
7. Retaining {100} fibre texture in electrical steel via strain-induced boundary migration recrystallisation10.1088/1742-6596/1270/1/012009 ↗
8. The evolution of cube ({001}<100>) texture in non-oriented electrical steel10.1016/j.actamat.2019.12.024 ↗
9. Evolution of cube texture in strip-cast non-oriented silicon steels10.1016/j.scriptamat.2014.05.019 ↗
10. The evolution of the Goss and Cube textures in electrical steel10.1016/j.matlet.2014.01.166 ↗
11. Acta materialia in-situ EBSD study on the cube texture evolution in 3 wt % Si steel complemented by ex-situ EBSD experiment D from nucleation to grain growth10.1016/j.actamat.2018.11.054 ↗
12. Strong recrystallization texture component in 6.5wt% si electrical steel thin sheets by secondary cold rolling and annealing10.1016/j.jmmm.2016.06.078 ↗
13. Evolution of recrystallization texture in nonoriented electrical steels10.1016/S1359-6454(03)00115-0 ↗
14. Retaining {1 0 0} texture from initial columnar grains in electrical steels10.1016/j.scriptamat.2012.08.023 ↗
15. Texture change from primary to secondary recrystallization by hot-band normalizing in grain-oriented silicon steels10.1016/j.msea.2006.10.118 ↗
16. Strong cube recrystallization texture in silicon steel by twin-roll casting process10.1016/j.actamat.2014.05.020 ↗
17. Texture evolution in twin-roll strip cast non-oriented electrical steel with strong Cube and Goss texture10.1016/j.actamat.2020.08.048 ↗
18. Revealing the recrystallization behavior of an excellent strip casting 4.5wt% Si non-oriented electrical steel10.1016/j.matchar.2020.110310 ↗
19. Fabrication of Fe-2.1 wt.% Si Alloy sheets with dominant Goss texture through thickness10.1590/1980-5373-mr-2018-0757 ↗
20. Fabrication of high permeability non-oriented electrical steels by increasing (0 0 1) recrystallization texture using compacted strip casting processes10.1016/j.jmmm.2014.08.052 ↗
21. Cube texture evolution and magnetic properties of 6.5 wt% Si electrical steel fabricated by surface energy and three-stage rolling method10.1016/j.jmmm.2018.02.059 ↗
22. The influence of shear bands on final structure and magnetic properties of 3% Si non-oriented silicon steel10.1016/j.jmmm.2008.04.050 ↗
23. Texture analysis with MTEX- Free and open source software toolbox
24. Development of the {113}(UVW) texture during the annealing of a skew cold rolled non-oriented electrical steel10.1016/j.scriptamat.2016.07.005 ↗
25. De Cooman · 2007
26. Effect of aluminium addition on the magnetic properties of a semi-processed electrical steel10.1590/1980-5373-mr-2015-0659 ↗
27. Effect of aluminum on secondary recrystallization texture and magnetic properties of grain-oriented silicon steel10.1007/s42243-020-00517-7 ↗
28. David, K. Resolving geometrically necessary dislocations and application in copper. (2013).
29. Resolving the geometrically necessary dislocation content by conventional electron backscattering diffraction10.1016/j.scriptamat.2008.01.050 ↗
30. Site-specific quasi in situ investigation of primary static recrystallization in a low carbon steel10.1016/j.msea.2019.02.032 ↗
31. A quantitative approach to studying the effect of local texture and heterogeneous plastic strain on the deformation micromechanism in RR1000 nickel-based superalloy10.1016/j.actamat.2014.04.039 ↗
32. Direct observation via in situ heated stage EBSD analysis of recrystallization of phosphorous deoxidised copper in unstrained and strained conditions10.1007/s12540-019-00493-y ↗
33. Statistical analysis of dislocations and dislocation boundaries from EBSD data10.1016/j.ultramic.2017.04.005 ↗
34. Texture formation in metal alloys with cubic crystal structures10.1080/02670836.2016.1231746 ↗
35. Cold rolling of an interstitial free (IF) steel—Experiments and simulations10.1016/j.mechmat.2020.103420 ↗
36. Role of silicon content and final annealing temperature on microtexture and microstructure development in non-oriented silicon steel10.1016/j.msea.2004.10.027 ↗
37. Assessment of geometrically necessary dislocation levels derived by 3D EBSD10.1016/j.actamat.2015.06.051 ↗
38. A review of ordering phenomena in iron-silicon alloys
39. Mechanistic approach of Goss abnormal grain growth in electrical steel: theory and argument10.1016/j.actamat.2019.12.023 ↗
40. Predicting the stacking fault energy of austenitic Fe-Mn-Al (Si) alloys10.1016/j.matdes.2019.108392 ↗
41. The properties of silicon alloyed ferritic ductile irons
42. Orientation dependence of yield stress in 4.4% silicon iron single crystals10.1016/0001-6160(67)90392-6 ↗
43. Mechanical properties of Fe-rich Si alloy from Hamiltonian10.1038/s41524-017-0012-4 ↗
44. A novel pole figure inversion method: specification of the MTEX algorithm10.1107/S0021889808030112 ↗
45. Influence of cold rolling direction on texture, inhibitor and magnetic properties in strip-cast grain-oriented 3% silicon steel10.1016/j.jmmm.2016.10.086 ↗
46. Texture evolution in grain-oriented electrical steel during hot band annealing and cold rolling10.1111/j.1365-2818.2008.02001.x ↗
47. Texture and related phenomena
48. Improvement of texture and magnetic properties in 4.5 wt.% Si grain-oriented electrical steels10.1590/1980-5373-mr-2018-0756 ↗