TY - JOUR
T1 - Optimization of influence factors for water cooling of high temperature plate by accelerated control cooling process
AU - Lim, Hwan Suk
AU - Kang, Yong Tae
N1 - Funding Information:
This work was supported to develop the cooling model for intelligent manufacturing by the Dongkuk Steel in Korea and was also supported by the Korea Institute of Energy Technology Evaluation and Planning and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. 20172010105000).
Publisher Copyright:
© 2018
PY - 2019/1
Y1 - 2019/1
N2 - The accelerated control cooling is considered to be one of the most practical technologies in the high tensile strength steel manufacturing industry. In order to achieve a high precision required for the cooling process, the system modeling should be done and optimized by considering the heat transfer mechanism as much as possible. For the system optimization, the parametric analysis for the influence factors such as feed water temperature, plate speed, plate width and specific heat should be carried out. In this study, we focus on optimizing the influence factors during water cooling of high temeperature plate by the accelerated control cooling process. The scale analysis with Reynolds and Prandtl numbers is made to optimize the effect of feed water temperature, and then the water flow density is determined during the water cooling process. The cooling efficiency is calculated in order to optimize the plate speed and plate width. Finally, start cooling temperature(SCT) and finish cooling temperature(FCT) are optimized by comparing the specific heat of standard references about low carbon steel such as NIST-JANAF, Eurocode, ISIJ. It is concluded that the accuracy of the predicted finish cooling temperature and the stability of the cooling process are significantly improved after the optimization of influence factors.
AB - The accelerated control cooling is considered to be one of the most practical technologies in the high tensile strength steel manufacturing industry. In order to achieve a high precision required for the cooling process, the system modeling should be done and optimized by considering the heat transfer mechanism as much as possible. For the system optimization, the parametric analysis for the influence factors such as feed water temperature, plate speed, plate width and specific heat should be carried out. In this study, we focus on optimizing the influence factors during water cooling of high temeperature plate by the accelerated control cooling process. The scale analysis with Reynolds and Prandtl numbers is made to optimize the effect of feed water temperature, and then the water flow density is determined during the water cooling process. The cooling efficiency is calculated in order to optimize the plate speed and plate width. Finally, start cooling temperature(SCT) and finish cooling temperature(FCT) are optimized by comparing the specific heat of standard references about low carbon steel such as NIST-JANAF, Eurocode, ISIJ. It is concluded that the accuracy of the predicted finish cooling temperature and the stability of the cooling process are significantly improved after the optimization of influence factors.
KW - Accelerated control cooling
KW - Heat transfer coefficient
KW - Plate water cooling optimization
KW - Precise plate cooling
KW - Water temperature effect
UR - http://www.scopus.com/inward/record.url?scp=85053110413&partnerID=8YFLogxK
U2 - 10.1016/j.ijheatmasstransfer.2018.09.024
DO - 10.1016/j.ijheatmasstransfer.2018.09.024
M3 - Article
AN - SCOPUS:85053110413
SN - 0017-9310
VL - 128
SP - 526
EP - 535
JO - International Journal of Heat and Mass Transfer
JF - International Journal of Heat and Mass Transfer
ER -