Structure and Precipitation of Strip As-Cast and Hot-Rolled by TSCR on Oriented Silicon Steel

2011 ◽  
Vol 686 ◽  
pp. 506-510
Author(s):  
Yong Mei Yu ◽  
Yun Bo Xu ◽  
Yuan Xiang Zhang ◽  
Ting Zhang ◽  
Xiao Ming Zhang ◽  
...  
Keyword(s):  
Silicon Steel ◽  
Strip Casting ◽  
Rolled Strip ◽  
Texture Gradient ◽  
Air Cooling ◽  
Thin Slab Casting ◽  
Hot Rolled Strip ◽  
Slab Casting ◽  
Hot Rolled ◽  
Twin Roll

The simulation studies were carried out on the oriented silicon steel produced by thin slab casting and rolling (TSCR) and twin-roll strip casting in the laboratory. The precipitation of inhibiter, formation of microstructure and texture were investigated before cold rolling. The inhomogeneous microstructure and texture gradient were observed in the 7-pass hot-rolled strip（2mm）for TSCR process, and texture gradient was not changed after normalizing, and the twin-roll strip casting directly supplied a strip with approx 2mm of thickness being same as that of hot-rolled strip by TSCR. The microstructure of twin-rolling casting strip was almost composed of all equiaxed grains which similar to the normalizing microstructure in TSCR process, but the random texture was obtained by twin-rolling strip casting. The dispersed and clustered precipitates were presented in hot-rolled strip when the ingots were soaked at 1200°C and 1150°C respectively for the TSCR process. And disperse and acicular precipitates were observed by TEM for air-cooling cast strips for process twin-rolling casting.

Investigation on Microstructure, Texture and Tensile Properties of Hot Rolled Strip Casting Grain-Oriented Silicon Steel

2013 ◽  
Vol 395-396 ◽  
pp. 297-301
Author(s):  
Hong Yu Song ◽  
Hui Hu Lu ◽  
Hai Tao Liu ◽  
Guo Dong Wang
Keyword(s):  
Tensile Test ◽  
Casting Process ◽  
Fiber Texture ◽  
Silicon Steel ◽  
Strip Casting ◽  
Rolled Strip ◽  
Fracture Surface Morphology ◽  
Cast Strip ◽  
Hot Rolled ◽  
Twin Roll

An Fe-3wt% Si as-cast strip was produced by twin-roll strip casting process. The as-cast strip was hot rolled at 1150°C by one pass of 20% reduction and coiled at 550°C. The tensile test was carried out and the elongation was measured. The microstructure and texture of the coiled strip and the fracture surface morphology of the tensile samples were characterized. It is found that the microstructure of the as-cast strip was characterized by columnar ferrite grains with pronounced {001}<0vw> fiber texture and martensite. The microstructure of coiled strip consisted of ferrite grains and pearlite, and the texture was mainly characterized by {001}<0vw> fiber texture. The necking was absent during the tensile test and the elongation of coiled strip was as low as 12%. The fracture surfaces of the tensile samples mainly exhibited cleavage fracture mode with coarse cleavage facets and some ligaments.

Microstructure and Crystallographic Texture of Oriented Silicon Steel Produced by TSCR

2010 ◽  
Vol 146-147 ◽  
pp. 705-708
Author(s):  
Yong Mei Yu ◽  
Yun Bo Xu ◽  
Chang Sheng Li ◽  
Guo Dong Wang
Keyword(s):  
Silicon Steel ◽  
Texture Gradient ◽  
Goss Texture ◽  
Thin Slab Casting ◽  
Columnar Grains ◽  
Slab Casting ◽  
Cold Rolled ◽  
Rolled Condition ◽  
Hot Rolled ◽  
Equiaxed Grains

The microstructure and textures of oriented silicon steel produced by Thin Slab Casting and Rolling (TSCR) were studied in laboratory. The fractions of equiaxed grains and columnar grains are close to 35% and 65% respectively in as-quenched ingot after being pulled out from the mould. The equiaxed grains and no texture gradient from surface to center can be observed for the 3-pass hot-rolled strips, and the inhomogeneities of microstructure and texture in thickness are relatively clear for the 7-pass samples. The subsurface texture of the hot-rolled sample contains of e (TD// <110>) fibers. The texture of the cold-rolled samples mainly consists of a (<110>//RD) and g (<111>//ND) fibers, and Goss texture ({110}<001>) disappears. The strong a fiber, weak g fiber and minor {001}<110>can be found in all layers in the cold-rolled condition.

Improvement of Surface Roughness of Al-Si Alloy Cast Strip by Vertical Melt Drag Process

2011 ◽  
Vol 383-390 ◽  
pp. 3954-3959 ◽  
Author(s):  
Shinichi Nishida ◽  
Kazuki Fukudome ◽  
H. Furusawa ◽  
M. Motomura ◽  
H. Watari
Keyword(s):  
Surface Roughness ◽  
Casting Process ◽  
Strip Casting ◽  
Rolled Strip ◽  
Strip Surface ◽  
Cast Strip ◽  
Negative Effect ◽  
Hot Rolled ◽  
Twin Roll ◽  
Alloy Cast

Strip casting process is possible to shorten for producing strip. Strip is produced from molten metal continuously and directly by strip casting process. Melt drag process is one of the single roll strip casting process. Melt drag process is simpler than general twin roll strip casting process. One of defect of cast strip is surface conditions, for example surface roughness. Cast strip surface roughness is larger than hot rolled strip. Large strip surface roughness is negative effect for cold rolling after strip casting or hot rolling. The aim of this study is improvement of cast strip surface roughness by melt drag process. We suggested vertical melt drag process. And investigations were operated such us producing conditions of Al-Si alloy strip, surface roughness of cast strip and microstructures.

Microstructure and texture evolution of medium temperature grain-oriented silicon steel produced by industrialization

2019 ◽  
Vol 116 (6) ◽  
pp. 604 ◽  
Author(s):  
Lifeng Fan ◽  
Liying Jia ◽  
Rong Zhu ◽  
Jianzhong He
Keyword(s):  
Grain Size ◽  
Texture Evolution ◽  
Silicon Steel ◽  
Rolled Strip ◽  
Medium Temperature ◽  
Goss Texture ◽  
Hot Rolled Strip ◽  
Average Grain Size ◽  
Average Size ◽  
Hot Rolled

The grain-oriented silicon steel was produced by medium temperature reheating and two-stage cold rolling process, and the microstructure and texture of all metallurgical processes were studied. The results shown that the microstructure of the hot rolled strip was inhomogeneous in thickness direction, the surface layer was the recrystallized microstructures with average grain size of 42.29 µm, the center layer was fiber structure, and the Goss texture appeared at surface. The primary recrystallized microstructure with average grain size of 16 µm was obtained after decarburization annealing, which characterized by a strong γ-fiber texture and a weak Goss texture. The average size of inhibitors in hot rolled strip and decarburization annealed sheet were 9.078 and 21.691 nm respectively, they were mainly compound of nitride and sulfide with spherical or lump shapes. The coarse Goss grains with average size 17.57 mm were got after secondary recrystallization, and the magnetic induction B8 and iron loss P1.7/50 were 1.885 T and 1.10 W/Kg, respectively.

Strip Casting of Al-25%Si Alloy

2012 ◽  
Vol 430-432 ◽  
pp. 669-672
Author(s):  
Toshio Haga ◽  
Hideto Harada ◽  
Shinji Kumai ◽  
Hisaki Watari
Keyword(s):  
Strip Casting ◽  
Rolled Strip ◽  
Thickness Direction ◽  
Cast Strip ◽  
Primary Si ◽  
Eutectic Si ◽  
Cold Rolled ◽  
Twin Roll Caster ◽  
Hot Rolled ◽  
Twin Roll

Strip casting of Al-25%Si strip was tried using an unequal diameter twin roll caster. The diameter of the lower roll (large roll) was 1000mm and the diameter of the upper roll (small roll) was 250mm. Roll material was mild steel. The sound strip could be cast at the speeds ranging from 8 m/min to 12 m/min. The strip did not stick to the roll without the parting material. The primary Si, which existed at centre area of the thickness direction, was larger than that which existed at other area. The size of the primary Si was smaller than 0.2 mm. Eutectic Si was smaller 5μm. The as-cast strip was ranging from 2mm to 3mm thick and its width was 100mm. The as-cast strip could be hot rolled down to 1mm. The hot rolled strip was cold rolled. The primary Si became smaller and the pore occurred around the primary Si after the rolling.

Influence of profile indicators of hot-rolled strip on transverse thickness difference of cold-rolled silicon steel

2018 ◽  
Vol 116 (1) ◽  
pp. 105
Author(s):  
Xiaobao Ma ◽  
Dongcheng Wang ◽  
Hongmin Liu ◽  
Shuai Zhang
Keyword(s):  
Measured Data ◽  
Silicon Steel ◽  
Rolled Strip ◽  
Hot Rolled Strip ◽  
Influence Model ◽  
Cold Rolled ◽  
Simulation Results ◽  
Hot Rolled ◽  
Control Criterion ◽  
Edge Drop

In order to evaluate the transverse thickness difference of cold-rolled strips according to the information of hot-rolled strips and scientifically guide the setting of the indicators of the hot-rolled silicon strip, the influence model about the relation of the transverse thickness difference of cold-rolled strip to the profile indicators of hot-rolled strip is established in this paper based on simulation results. The transverse thickness difference of cold-rolled strip predicted based on the influence model have strong correspondences to the measured data. Based on the influence model and the statistical analysis of the measured data, the control criterion of the profile indicators of hot-rolled silicon steel according to the requirements for the transverse thickness difference of cold-rolled strip are finally recommended. The simulation results show that the transverse thickness difference of cold-rolled strip is quadratic nonlinearly related to the wedge and crown of hot-rolled strip. The influence model and statistical data analysis indicate that reducing the edge-drop of hot-rolled strip is beneficial to restrain the transverse thickness difference of cold-rolled strip.

Hot-rolled strip re-reddening temperature changing law for late ultra fast-cooling in a CSP line

2015 ◽  
Vol 112 (3) ◽  
pp. 305 ◽  
Author(s):  
Lian-yun Jiang ◽  
Guo Yuan ◽  
Jian-hui Shi ◽  
Yue Xue ◽  
Di Wu ◽  
...  
Keyword(s):  
Rolled Strip ◽  
Hot Rolled Strip ◽  
Ultra Fast Cooling ◽  
Fast Cooling ◽  
Hot Rolled

scholarly journals X-SDD: A New Benchmark for Hot Rolled Steel Strip Surface Defects Detection

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 706
Author(s):  
Xinglong Feng ◽  
Xianwen Gao ◽  
Ling Luo
Keyword(s):  
Surface Defect ◽  
Surface Defects ◽  
Steel Strip ◽  
Rolled Strip ◽  
Rolled Steel ◽  
Strip Surface ◽  
Hot Rolled Strip ◽  
Hot Rolled ◽  
Hot Rolled Steel ◽  
Detection Of Defects

It is important to accurately classify the defects in hot rolled steel strip since the detection of defects in hot rolled steel strip is closely related to the quality of the final product. The lack of actual hot-rolled strip defect data sets currently limits further research on the classification of hot-rolled strip defects to some extent. In real production, the convolutional neural network (CNN)-based algorithm has some difficulties, for example, the algorithm is not particularly accurate in classifying some uncommon defects. Therefore, further research is needed on how to apply deep learning to the actual detection of defects on the surface of hot rolled steel strip. In this paper, we proposed a hot rolled steel strip defect dataset called Xsteel surface defect dataset (X-SDD) which contains seven typical types of hot rolled strip defects with a total of 1360 defect images. Compared with the six defect types of the commonly used NEU surface defect database (NEU-CLS), our proposed X-SDD contains more types. Then, we adopt the newly proposed RepVGG algorithm and combine it with the spatial attention (SA) mechanism to verify the effect on the X-SDD. Finally, we apply multiple algorithms to test on our proposed X-SDD to provide the corresponding benchmarks. The test results show that our algorithm achieves an accuracy of 95.10% on the testset, which exceeds other comparable algorithms by a large margin. Meanwhile, our algorithm achieves the best results in Macro-Precision, Macro-Recall and Macro-F1-score metrics.

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