Application of Asymmetric Rolling to Texture Control of Silicon Steel

2007 ◽  
Vol 539-543 ◽  
pp. 3424-3429 ◽  
Author(s):  
Y.H. Sha ◽  
S.C. Zhou ◽  
Wei Pei ◽  
Liang Zuo
Keyword(s):  
Cold Rolling ◽  
Steel Production ◽  
Rolling Texture ◽  
Silicon Steel ◽  
High Grade ◽  
Asymmetric Rolling ◽  
Magnetic Annealing ◽  
Deformation Textures ◽  
Grade Silicon ◽  
Cold Rolling Texture

The influences of different rolling modes and speed ratios on cold rolling texture development, and the characteristics of recrystallization textures after ordinary annealing as well as magnetic annealing have been investigated for non-oriented silicon steel. Results show that the through-thickness deformation textures were effectively changed by asymmetric cold rolling even in the case of small speed ratios, and the recrystallization textures were modified with the enhanced favorable {100} and η (<100>//RD) texture components by magnetic annealing. Much improved magnetic properties can be obtained through optimization of asymmetric rolling and annealing parameters. Thus, application of asymmetric cold rolling and magnetic annealing might open up new possibilities for texture control in high-grade silicon steel production.

Rolling and Recrystallization Textures in Asymmetrically Rolled Silicon Steel Thin Strip

2005 ◽  
Vol 495-497 ◽  
pp. 429-434 ◽  
Author(s):  
Y.H. Sha ◽  
S.C. Zhou ◽  
Z.K. Zou ◽  
F. Zhang ◽  
Liang Zuo
Keyword(s):  
Cold Rolling ◽  
Recrystallization Texture ◽  
Steel Sheet ◽  
Rolling Texture ◽  
Silicon Steel ◽  
Strip Thickness ◽  
Thin Strip ◽  
Speed Ratio ◽  
Orientation Density ◽  
Cold Rolling Texture

Fe-3.10%Si thin strips were prepared from commercial grain oriented silicon steel sheet by cold rolling with different speed ratios and annealed at 1123K in vacuum, the cold rolling and recrystallization textures were analyzed. Cold rolling texture consists mainly of {111}<112>, {554}<225> and {332}<113> components, while their orientation densities vary with speed ratio and layer through strip thickness. Recrystallization texture development depends on speed ratio obviously, and the peak orientation density deviates from {110}<001> towards {210}<001> with the increase in speed ratio.

Recrystallisation Behaviour of an Fe-Mn-C-Si-Al TWIP

2012 ◽  
Vol 715-716 ◽  
pp. 649-654 ◽  
Author(s):  
Lieven Bracke ◽  
Nieves Cabañas-Poy
Keyword(s):  
Grain Size ◽  
Cold Rolling ◽  
Annealing Temperature ◽  
Twip Steel ◽  
Rolling Texture ◽  
Annealing Temperatures ◽  
Twip Steels ◽  
Cold Rolled ◽  
Main Components ◽  
Cold Rolling Texture

The static recrystallisation behaviour of cold rolled and annealed TWinning Induced Plasticity (TWIP) steels is important for its industrial production. The recrystallisation kinetics have been determined for an Fe-Mn-C-Si-Al TWIP steel using hardness measurements and microstructure analysis: it has been shown that recrystallisation progresses rapidly with increased annealing temperature. Recrystallisation was faster at higher cold reductions, and a smaller final grain size was observed at lower annealing temperatures. This indicates that the mechanism is nucleation dominated at lower temperatures; grain growth at higher temperatures appears similar for all reductions. The recrystallisation results in a crystallographic texture where the main components of the cold rolling texture are preserved in the final texture after annealing, although some randomisation was observed.

scholarly journals Cold Rolling Texture Prediction Using Finite Element Simulation with Zooming Analysis

Materials ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 6909
Author(s):  
Honghao Wang ◽  
Sheng Ding ◽  
Tom Taylor ◽  
Jun Yanagimoto
Keyword(s):  
Finite Element ◽  
Cold Rolling ◽  
Manufacturing Industry ◽  
Rolling Texture ◽  
Rolling Process ◽  
Metal Plate ◽  
Recrystallization Temperature ◽  
Analysis Method ◽  
Metal Plates ◽  
Cold Rolling Texture

Cold rolling is widely employed in the manufacturing industry for the production of metal plates. In the cold rolling process, the thickness reduction of the metal plate under the recrystallization temperature generates severe anisotropy; this influences the subsequent forming processes. Therefore, the generation and prediction of metal plate anisotropy during cold rolling is a highly interesting research topic involving upstream studies of sheet metal forming. In this study, using the finite element method with zooming analysis, we established an efficient elastic–plastic analysis method to predict the metal plate texture after cold rolling. This method for cold rolling texture prediction was confirmed by comparing the experimental and simulation results of cold rolling for an S45C plate with a body-centered cubic lattice. Further, the numerical analysis method proposed in this study can contribute to the study of anisotropy as an alternative to experimental approaches.

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