Combustion performance of nozzles with multiple gas orifices in large ladles for temperature uniformity

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Abstract In order to improve the baking temperature uniformity of the large ladle in steelmaking plants, the flame combustion characteristics of nozzles with different inner structures were numerically simulated with the finite volume method code Fluent. The flow field and premixed combustion reaction inside and outside the nozzle with multiple gas orifices were exhibited. Meanwhile, the influences of the gas injecting angle and the number of gas orifices on temperature, velocity, and pressure fields were studied. The results show that the flame length and width at the rear of flame temperature field reach the maximum values in the nozzle with the gas injecting angle of 20�� and 4 gas orifices for the control of premixed combustion inside the nozzle, which could provide better temperature uniformity in ladles. The length of the 1273 K isothermal surface is 4.89 m, and the cross-section area at 4 m away from the outlet of the nozzle is 0.13 m2. The pressure losses of different types of nozzles range from 112.2 to 169.4 Pa and decrease with the decrement in gas injecting angle and the number of gas orifices. The ladle bottom preheating temperature is increased by 320�C360 K for the optimized nozzle. The inner surface temperature differences between wall and bottom of the ladle are less than 10%. There is good baking temperature uniformity after the application of optimum structurally designed nozzles.

Key words�� ladle nozzle baking flame numerical simulation

Received: 26 May 2017 Published: 15 October 2018

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	YUAN Fei
	WANG Hong-Bing
	ZHOU Pei-Ling
	XU An-Jun

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YUAN Fei,WANG Hong-Bing,ZHOU Pei-Ling��. Combustion performance of nozzles with multiple gas orifices in large ladles for temperature uniformity[J]. Journal of Iron and Steel Research International, 2018, 25(4): 387-397.

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http://gt.chinamet.cn/Jweb_gtyjxb_en/EN/ OR http://gt.chinamet.cn/Jweb_gtyjxb_en/EN/Y2018/V25/I4/387

[1]	LIU Changpeng, MA Guangyu, YUAN Ling, et al.Integrated energy-saving technology of steelmaking[J].Energy for Metallurgical Industry, 2017, 36(1):3-10
[2]	OU Jianping.Study on application of hTAC in metallurgy and its optimization with numerical simulation[D]. Central South University, Changsha, 2004.
[3]	YUAN Fei, XU Anjun, HE Dongfeng, et al.Thermal state classification of 210 t ladle using multi-factor coupling numerical calculation[J].Journal of Harbin Institute of Technology, 2016, 48(7):176-181
[4]	LIU Wei, LONG Peng, CHAI Manlin, et al.Numerical simulation of gaseous combustion process in anode furnace of copper refining with two types of burner[J].The Chinese Journal of Process Engineering, 2015, 15(2):259-265
[5]	YUAN Fei, ZHOU Shuchang, HOU Zhichang, et al.Simulation research on combustion of a multihole nozzle used for regenerative ladle preheating[J].Energy for Metallurgical Industry, 2016, 35(3):21-24
[6]	JI Lele, HE Dongfeng, XU Anjun, et al.Numerical simulation on preheating system of regenerative ladle[J].Iron and Steel, 2013, 48(4):76-81
[7]	ZHAO Boning, LUO Xian.Numerical simulation research on the influence of jet angle on temperature distribution inside the heating furnace[J].Forging & Stamping Technology, 2014, 39(11):81-85
[8]	Tsuji H, Gupta A K, Hasegawa T, et al.High temperature air combustion: from energy conservation to pollution reduction[M]. 1st ed. New York: CRC Press, 2003.
[9]	ZHEN H S, CHOY Y S, LEUNG C W, CHEUNG C S.Effects of nozzle length on flame and emission behaviors of multi-fuel-jet inverse diffusion flame burner[J].Applied Energy, 2011, 88(9):2917-2924
[10]	YU Y, Shademan M, Barron R M, et al.CFD study effects of geometry variations on flow in a nozzle[J].Engineering Applications of Computational Fluid Mechanics, 2012, 6(3):412-425
[11]	CAI Jinsheng, Tsai H M, LIU Feng.Numerical simulation of vortical flows in the near field of jets from notched circular nozzles[J].Computer & Fluids, 2010, 39(3):539-552
[12]	Tongji University, Chongqing University, Harbin Institute of Technology, et al.Gas Combustion and Utilization[M]. 4th ed. Beijing: China Architecture & Building Press, 2011.
[13]	Khoshhal A, Rahimi M.Alsairafi A ADiluted air combustion and NOx emission in a HiTAC furnace[J].Numerical Heat Transfer, Part A: Applications, 2011, 59(8):633-651
[14]	James M L, Sanjay R M, Jayathi Y M.A coupled ordinates method for convergence acceleration of the phonon boltzmann transport equation[J].Journal of Heat Transfer, 2015, 137 (1):-
[15]	Lygidakis G N, Nikolos I K.Using the Finite-Volume Method and hybrid unstructured meshes to compute radiative heat transfer in 3-D Geometries[J].Numerical Heat Transfer, Part B: Fundamentals, 2012, 62(5):289-314
[16]	Haworth D C.Progress in probability density function methods for turbulent reacting flows[J].Progress in Energy and Combustion Science, 2010, 36(2):168-259
[17]	Ma Likun, Naud B, Roekaerts D.Transported PDF modeling of ethanol dpray in hot-diluted coflow flame[J].Flow, Turbulence and Combustion, 2016, 96(2):469-502
[18]	Park S, Kim J A, Ryu C, et al.Effects of gas and particle emissions on wall radiative heat flux in oxy-fuel combustion[J].Journal of Mechanical Science and Technology, 2012, 26(5):1633-1641
[19]	NIE Hongyu, CHEN Haigeng.Radiative heat transfer analysis of nongray gas wsing WSGGM and discrete ordinates method[J].Journal of Northeastern University (Natural Science), 2001, 22(4):443-445
[20]	Smith T F, Shen Z F, Friedman J N.Evaluation of coefficients for the weighted sum of gray gases model[J].Journal of Heat Transfer, 1982, 104(4):602-608