scholarly journals MODERNIZATION OF METALLURGICAL EQUIPMENT WITH THE DEVELOPMENT OF AN INNOVATIVE METHOD OF COILING HOT-ROLLED STRIPS

2021 ◽  
Author(s):  
Kassym Yelemessov ◽  
◽  
Kanay Rysbekov ◽  
Dinara Baskanbayeva ◽  
Akzhan Igbayeva ◽  
...  
Keyword(s):  
Laboratory Model ◽  
Rolled Strip ◽  
Combined Method ◽  
Innovative Method ◽  
Fundamental Possibility ◽  
Maximum Angle ◽  
Rolling Production ◽  
Hot Rolled ◽  
Selection Of ◽  
Angle Of Rotation

The report presents the results of laboratory studies on the use of a combined (water and air) method of coiling hot-rolled strips on a coiler of a continuous broadstrip mill 1700. An innovative method of coiling strips allows to completely abandon the mechanical formation of hot-rolled coils. In order to study the hydraulic formation in laboratory conditions, a model of a coiler was created, which was structurally tied to the existing laboratory rolling mill "DUO-100". Studies carried out on the laboratory model of a coiler with hydraulic roll formation confirmed the fundamental possibility of using the proposed coiling method for working with various materials. Aluminum and lead strips were used as hot rolled strip. The results of laboratory work indicate a sufficient convergence of calculations with experimental data, which allows using the results obtained as recommendations for the creation of industrial installations. A method for calculating the flow rate and pressure of water and air is proposed. The calculation of the clamping force of the front end of the strip and the refined selection of the number of collectors and the maximum angle of rotation of the nozzle are carried out. The use of the combined principle for the formation of the first turns of the roll avoids contact between the rolled metal and the strip, expands the adjustment limits and reduces the requirements for its accuracy. The results obtained make it possible to recommend the use of a combined method of strip coiling in rolling production.

Investigation on the control of multiphase flow behavior in a continuous casting tundish during ladle change

2020 ◽  
Vol 117 (6) ◽  
pp. 619
Author(s):  
Rui Xu ◽  
Haitao Ling ◽  
Haijun Wang ◽  
Lizhong Chang ◽  
Shengtao Qiu
Keyword(s):  
Multiphase Flow ◽  
Flow Behavior ◽  
Rolled Strip ◽  
Impact Zone ◽  
Steel Cleanliness ◽  
Carry Over ◽  
Slag Carry Over ◽  
Hot Rolled ◽  
Turbulence Inhibitor ◽  
The Impact

The transient multiphase flow behavior in a single-strand tundish during ladle change was studied using physical modeling. The water and silicon oil were employed to simulate the liquid steel and slag. The effect of the turbulence inhibitor on the slag entrainment and the steel exposure during ladle change were evaluated and discussed. The effect of the slag carry-over on the water-oil-air flow was also analyzed. For the original tundish, the top oil phase in the impact zone was continuously dragged into the tundish bath and opened during ladle change, forming an emulsification phenomenon. By decreasing the liquid velocities in the upper part of the impact zone, the turbulence inhibitor decreased considerably the amount of entrained slag and the steel exposure during ladle change, thereby eliminating the emulsification phenomenon. Furthermore, the use of the TI-2 effectively lowered the effect of the slag carry-over on the steel cleanliness by controlling the movement of slag droplets. The results from industrial trials indicated that the application of the TI-2 reduced considerably the number of linear inclusions caused by ladle change in hot-rolled strip coils.

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.

Manufacturing of LSAW Pipes Using Hot Rolled Sheets for Sour-Service Application

2021 ◽  
Author(s):  
Rajesh Kumar Goyal ◽  
Mahesh Gajjar ◽  
Ashok Joshi ◽  
Anupkumar Tamhane
Keyword(s):  
Steel Mill ◽  
Corrosion Resistant ◽  
Behavioural Changes ◽  
H2s Corrosion ◽  
Before And After ◽  
Service Application ◽  
Hot Rolled ◽  
Sour Service ◽  
Geographical Locations ◽  
Selection Of

Abstract The exploration and transportation of fluids from corrosive fields or reserves demand corrosion-resistant pipelines. The pipelines for sour-service application demand higher resistance to H2S corrosion because of higher sulphur content observed in the geographical locations. The pipelines laid in the corrosive and marshy lands demand high wall thickness to allow for wall thinning due to corrosion. The linepipes manufactured using TMCP plates are widely accepted for sour-service applications. The use of cut-to-length sheets from hot rolled coils for the manufacturing of LSAW pipes is economical but having limited acceptance by the pipeline operators. Welspun took an initiative to develop the linepipes for an onshore sour-service application using API 5L X60MS grade cut-to-length sheets from TMCP hot rolled coils procured from an approved steel mill. The LSAW pipes of 24” OD × 14.27 mm WT were manufactured by the JCO-E press at Welspun Pipes Mill in Anjar-Gujarat-India. The experience of 24”OD × 14.30 mm WT, API 5L X60MO grade pipes manufacturing using TMCP plates procured from another approved steel mill, was used to decide factors such as alloy design, cleanliness, strength, DWTT, hardness, HIC, SSCC, CVN for the selection of cut-to-length sheets. This paper deals with sheet-to-pipe behavioural changes in properties before and after cold mechanical expansion. Wherever possible, the comparison was also made with plate-pipe behavioural changes in properties.

Sedimentation in Storage Tank Structures

1994 ◽  
Vol 29 (1-2) ◽  
pp. 363-372 ◽  
Author(s):  
Virginia R. Stovin ◽  
Adrian J. Saul
Keyword(s):  
Numerical Models ◽  
Effective Means ◽  
Design Guidelines ◽  
Laboratory Model ◽  
Shear Stresses ◽  
Model Situation ◽  
Combined Sewer ◽  
Urban Watercourse ◽  
Storage Structures ◽  
Selection Of

Although storage tanks provide an effective means of reducing the magnitude and frequency of combined sewer overflow discharges, and thereby of alleviating urban watercourse pollution, poorly designed storage structures frequently suffer from maintenance problems arising from sedimentation. The development of design guidelines that optimise the self-cleansing operation of storage structures is clearly a priority for urban drainage research. This paper describes a system that has been developed to study sediment deposition in laboratory model-scale storage structures. The patterns of deposition resulting from a selection of flow regimes are described, and the need for time-varying and time series storm tests is highlighted. Sedimentation patterns are shown to predominantly depend on the flow field, and the critical bed shear stresses for deposition and erosion in the model situation are identified. Hence, the potential application of numerical models to the design problem is discussed.

Research on causes and mitigation measures of bright band on hot rolled strip

2013 ◽  
Vol 41 (3) ◽  
pp. 187-192 ◽  
Author(s):  
D. F. Guo ◽  
A. R. He ◽  
J. Shao
Keyword(s):  
Mitigation Measures ◽  
Rolled Strip ◽  
Hot Rolled Strip ◽  
Bright Band ◽  
Hot Rolled

scholarly journals An improved Vision Transformer-based method for classifying surface defects in hot-rolled strip steel

2021 ◽  
Vol 2082 (1) ◽  
pp. 012016
Author(s):  
Xinglong Feng ◽  
Xianwen Gao ◽  
Ling Luo
Keyword(s):  
Surface Defect ◽  
Surface Defects ◽  
Steel Strip ◽  
Learning Ability ◽  
Rolled Strip ◽  
Strip Surface ◽  
Strip Steel ◽  
Hot Rolled Strip ◽  
Hot Rolled ◽  
Improved Algorithm

Abstract A new Vision Transformer(ViT) model is proposed for the classification of surface defects in hot rolled strip, optimizing the poor learning ability of the original Vision Transformer model on smaller datasets. Firstly, each module of ViT and its characteristics are analyzed; Secondly, inspired by the deep learning model VGGNet, the multilayer fully connected layer in VGGNet is introduced into the ViT model to increase its learning capability; Finally, by performing on the X-SDD hot-rolled steel strip surface defect dataset. The effect of the improved algorithm is verified by comparison experiments on the X-SDD hot-rolled strip steel surface defect dataset. The test results show that the improved algorithm achieves better results than the original model in terms of accuracy, recall, F1 score, etc. Among them, the accuracy of the improved algorithm on the test set is 5.64% higher than ViT-Base and 2.64% higher than ViT-Huge; the accuracy is 4.68% and 1.36% higher than both of them, respectively.

scholarly journals RESEARCH OF THE EFFECT OF INTENSIVE COOLING ON THE CHARACTERISTICS OF THE HOT-ROLLED STRIP

2019 ◽  
Author(s):  
Evgeny SOLDATOV ◽  
Alexander MUNTIN
Keyword(s):  
Rolled Strip ◽  
Hot Rolled Strip ◽  
Hot Rolled
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