Evaluation method for hot rolling &amp; run out table cooling parameters

Taylor, Tom; Sugiyama, Sumio; Ishikawa, Akiyoshi; Wang, Honghao; Ye, Jun

doi:10.1080/02670836.2021.2010176

Cited by 3 publications

(2 citation statements)

References 7 publications

(14 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When the cooling process is changed, the residual stress in the hot-rolled strip is bound to change as well. Previous researchers have optimized the cooling process of hot-rolled strip mainly from the microstructure of the product, ignoring the effect of the cooling process on the residual stress [10,11]. Multi-objective optimization of the cooling process of hot-rolled strip, taking into account the microstructure and residual stress, is extremely important for improving the overall quality of the product.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of Low-Alloy Hot-Rolled Strip Cooling Process Based on Gray Correlation Analysis

Xue,

Fei

2024

Metals

View full text Add to dashboard Cite

The residual stress in low-alloy hot-rolled strips seriously affects the use and processing of products. Reducing residual stress is important for improving the product quality of hot-rolled strips. In this paper, the changes in grain size and residual stress of hot-rolled strips under different cooling processes were investigated via thermal simulation experiments and electron backscatter diffraction. It was found that the optimum cooling process solution for single-objective optimization of grain size was a final rolling temperature of 875 °C, a laminar cooling speed of 50 °C/s, and a coiling temperature of 550 °C. When single-objective optimization of residual stress was carried out, the optimal cooling process scheme was 900 °C for final rolling temperature, 20 °C/s for laminar cooling speed, and 625 °C for coiling temperature. The significance of the effect of cooling processes on grain size and residual stress was analyzed based on the extreme deviation of the effect of each cooling process on grain size and residual stress in orthogonal experiments. The results show that the coiling temperature was the most influential factor on grain size and residual stress among the cooling process parameters. The difference was that grain size increased with increasing coiling temperature, and residual stress decreased with increasing coiling temperature. Using both grain size and residual stress as evaluation indicators, a multi-objective optimization of the cooling process for hot-rolled strips was carried out via the gray correlation analysis method. The optimized solution was 875 °C final rolling temperature, 30 °C/s laminar cooling speed, and 625 °C coiling temperature. At this time, the grain size was 4.8 μm, and the KAM (Kernel Average Misorientation) was 0.40°. The grain size under the actual production process scheme was 4.4 μm with a KAM of 0.78°. Compared to the actual production process solution, the multi-objective optimization solution showed little change in grain size, with only a 9% increase and a 49% reduction in KAM. The optimization scheme in this paper could significantly reduce the level of residual stresses while ensuring the fine grain size of hot-rolled strips, thus improving the overall quality of hot-rolled strips.

show abstract

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of Low-Alloy Hot-Rolled Strip Cooling Process Based on Gray Correlation Analysis

Xue,

Fei

2024

Metals

View full text Add to dashboard Cite

show abstract

“…There are significant differences in the metallurgical, mechanical, and flatness properties of the final strips following different cooling techniques [10][11][12]. In particular, uneven transverse cooling will generate thermal stress.…”

Section: Introductionmentioning

confidence: 99%

Residual stress control of hot-rolled strips during run-out table cooling

Sun

Wen

et al. 2023

Int J Adv Manuf Technol

View full text Add to dashboard Cite

The strips with good flatness after finish rolling will have flatness defects such as edge wave after run-out table cooling. These defects are caused by the residual stress due to inhomogeneous thermal and microstructural behaviors during the cooling stage.The traditional residual stress control methods rely too much on experience, resulting in poor control effect and poor universality. Therefore, this study proposed two residual stress control methods based on model calculation: water flow central crown, and center wave compensation control. The former is mainly based on controlling the uniformity of strip transverse temperature and microstructure. The latter is mainly controlled by mutual compensation of internal stresses. In this paper, the mathematical models of water flow central crown cooling and critical center wave compensation stress were established respectively. Meanwhile, a post-buckling model of hot-rolled strip was established to calculate the aim flatness value at exit of finishing mill under critical compensation stress. Furthermore, a fully coupled finite element model based on temperature, phase transitions, and stress was developed and it was verified using experimental data. Finally, the above two residual stress control methods were realized in the finite element model. The results showed that the two methods can reduce the residual stress and improve the flatness, and the application of center wave compensation control is more effective.

show abstract

Residual stress control of hot-rolled strips during run-out table cooling

Wu¹,

Sun

Wen³

et al. 2022

Preprint

View full text Add to dashboard Cite

The strips with good flatness after finish rolling will have flatness defects such as edge wave after run-out table cooling. These defects are caused by the residual stress due to inhomogeneous thermal and microstructural behaviors during the cooling stage. The traditional residual stress control methods rely too much on experience, resulting in poor control effect and poor universality. Therefore, this study proposed two residual stress control methods based on model calculation: water flow central crown, and center wave compensation control. The former is mainly based on controlling the uniformity of strip transverse temperature and microstructure. The latter is mainly controlled by mutual compensation of internal stresses. In this paper, the mathematical models of water flow central crown cooling and critical center wave compensation stress were established respectively. Meanwhile, a post-buckling model of hot-rolled strip was established to calculate the aim flatness value at exit of finishing mill under critical compensation stress. Furthermore, a fully coupled finite element model based on temperature, phase transitions, and stress was developed and it was verified using experimental data. Finally, the above two residual stress control methods were realized in the finite element model. The results showed that the two methods can reduce the residual stress and improve the flatness, and the application of center wave compensation control is more effective.

show abstract

Evaluation method for hot rolling & run out table cooling parameters

Cited by 3 publications

References 7 publications

Multi-Objective Optimization of Low-Alloy Hot-Rolled Strip Cooling Process Based on Gray Correlation Analysis

Multi-Objective Optimization of Low-Alloy Hot-Rolled Strip Cooling Process Based on Gray Correlation Analysis

Residual stress control of hot-rolled strips during run-out table cooling

Residual stress control of hot-rolled strips during run-out table cooling

Contact Info

Product

Resources

About