On the Evolution of Temperature and Combined Stress in a Work Roll under Cyclic Thermo-Mechanical Loadings during Hot Strip Rolling and Idling

Hu, Kejun; Shi, Qinghe; Han, Wenqin; Fang, Zhu; Chen, Jufang

doi:10.3390/ma13215054

Cited by 8 publications

(2 citation statements)

References 36 publications

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“…The most common methods include: increasing the diameters of rolls, increasing single crimps, increasing the total deformation, etc. [4][5]. These methods require significant modernization of equipment and, therefore, significant capital investments.…”

Section: Analysis Of Research and Publicationsmentioning

confidence: 99%

Determination of the Stressed Metal State During Hot Rolling by the Finite Element Method

Ivanov,

Matіukhin,

Ben

et al. 2023

НМТ

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Purpose. Determination of the stress-strain state of the metal during the rolling of large ingots to prevent the occurrence of internal defects, and determining the effect of forced cooling of the ingot surface during hot rolling on the stress-strain state. Research methods. Finite element method, upper estimate method. Results. Based on the finite element method, a comparative simulation of the stress-strain state of the ingot with different cooling times was performed. As a result of the study, it was established that the forced cooling of the ingot surface during hot rolling helps to reduce the probability of the internal continuity defect forming. The given results of comparison of the distribution of strain intensity along the rolling cross-section in the basic version and with additional annealing indicate a decrease in the probability of formation of discontinuities in the axial zone of the ingot. This, in turn, proves the effectiveness of forced annealing of the surface layers of the ingot (workpiece). Scientific novelty. A mathematical model of the distribution of the main stress state components was developed. It took into account the redistribution of temperatures and, as a result, the mechanical properties of the metal according to the height of the deformation focus during the hot rolling of relatively large blanks. Practical value. The use of forced cooling leads to a significant increase in hydrostatic and normal stresses in the axial zone, reducing the probability of the formation and subsequent growth of internal continuity defects. Thus, the quality of finished products increases, in particular, valuable rolled products made of special grades of steel.

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Section: Analysis Of Research and Publicationsmentioning

confidence: 99%

Determination of the Stressed Metal State During Hot Rolling by the Finite Element Method

Ivanov,

Matіukhin,

Ben

et al. 2023

НМТ

View full text Add to dashboard Cite

show abstract

“…The finite element model is established by specifying the meshing and boundary conditions. Hu et al 4) used the finite element method to analyze the evolution of roll surface temperature and stress and compared it with the mathematical model. Li et al 5) analyzed the deformation of roll and strip during hot rolling and tempering by an elastic-plastic finite element method, and proposed a local variable crown work roll profile suitable for industrial applications.…”

Section: Introductionmentioning

confidence: 99%

Predicting Hot-rolled Strip Crown Using a Hybrid Machine Learning Model

Ji,

Wen,

Peng

et al. 2024

ISIJ Int.

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The stability of crown is a crucial factor in ensuring the quality of hot-rolled strips. In this study, a hybrid model based on ensemble learning is developed, incorporating four reliable ML models, namely support vector machine (SVM), gaussian process regression (GPR), artificial neural network (ANN), and random forest (RF). To enhance the accuracy and interpretability of the resulting crown model, pretreatment methods such as feature selection and cluster analysis are employed. The feature selection method based on mechanism analysis and maximum information coefficient (MIC) is used to obtain the optimized feature subset, while the K-means clustering algorithm is utilized to measure data similarity and cluster data points with high similarity. Analysis of experimental results indicates that the four single ML models exhibit good prediction performance for strip crown, with determination coefficients above 0.96. The hybrid model outperforms each of the single models in terms of prediction accuracy. Moreover, the incorporation of pretreatment methods leads to an increase in the determination coefficient and a decrease in the root mean square error for each model, culminating in the superior overall performance of the hybrid model established after pretreatment.These findings highlight the potential of the proposed approach for improving the accuracy and reliability of ML models in complex industrial environments.

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Prediction and analysis of temperature distribution, during the multi-pass hot rolling of nuclear power zirconium alloy under different rolling schedules

Cao

Gao

et al. 2022

Int J Adv Manuf Technol

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On the Evolution of Temperature and Combined Stress in a Work Roll under Cyclic Thermo-Mechanical Loadings during Hot Strip Rolling and Idling

Cited by 8 publications

References 36 publications

Determination of the Stressed Metal State During Hot Rolling by the Finite Element Method

Determination of the Stressed Metal State During Hot Rolling by the Finite Element Method

Predicting Hot-rolled Strip Crown Using a Hybrid Machine Learning Model

Prediction and analysis of temperature distribution, during the multi-pass hot rolling of nuclear power zirconium alloy under different rolling schedules

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