Abstract
AbstractWall cooling panels are typically a kind of electric arc furnace equipment that has precisely influence on different aspects of the steelmaking process. This investigation employs a CFD method to evaluate the thermal performance of water cooling panels in real operating conditions to validate the numerical method followed by replacing cooling water with Al2O3/Water nanofluid coolant. The results are revealed that the high rate of receiving heat flux and generated vortexes with low-velocity cores lead to hot spots inducing on bends and elbows. In the operating flow rate, the maximum temperature of the hot-side wall decrease by 14.4% through increasing the nanoparticle concentration up to 5%, where the difference between maximum temperature and average temperature on the hot-side decrease to 12 degrees. According to the results, use of nanofluid coolant is a promising method to fade the hot spots out on the hot-side and gifting a lower and smoother temperature distribution on the panel walls of thereby prolonging the usage period of panels.
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Physics and Astronomy,General Engineering,General Environmental Science,General Materials Science,General Chemical Engineering
Reference27 articles.
1. Manana M (2021) Increase of capacity in electric arc-furnace steel mill factories by means of a demand-side management strategy and ampacity techniques. Int J Electr Power Energy Syst 124:106337
2. Patry PG, Harry M (1998) The making, shaping and treating of steel 11th edition steelmaking and refining volume. The AISE Steel Foundation
3. Simoes JP, Pfeifer H, and Kirschen M (2005) Thermodynamic analysis of EAF electrical energy demand. In: 8th European electric steelmaking conference, England, pp 113–119
4. Themelis NJ, Szekely J (1971) Rate phenomena in process metallurgy. Wiley, New York
5. Ghasemi SE (2017) Forced convective heat transfer of nanofluid as a coolant flowing through a heat sink: experimental and numerical study. Mol Liquids 248:264–270