Suzhou Longray Thermal Technology Co.

Suzhou, China

Suzhou Longray Thermal Technology Co.

Suzhou, China
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Wang J.-M.,Central South University | Yan H.-J.,Central South University | Zhou J.-M.,Central South University | Li S.-X.,Suzhou Longray Thermal Technology Co. | Gui G.-C.,Suzhou Longray Thermal Technology Co.
Zhongguo Youse Jinshu Xuebao/Chinese Journal of Nonferrous Metals | Year: 2012

Based on validating results by heat balance test for aluminum melting furnace, a reasonable mathematical model which considering the feature of the aluminum melting process was established. The numerical simulation of coupling field between combustion space and aluminum bath in a round aluminum melting furnace was carried out using CFD software FLUENT. The influence of the swirl number on melting process of the aluminum melting furnace was analyzed. According to optimizing criterion which is put forward in this work, the optimal melting performance is obtained when the swirl number is larger than 0.6.


Wang J.-M.,Anhui University of Technology | Xu P.,Anhui University of Technology | Yan H.-J.,Central South University | Zhou J.-M.,Central South University | And 3 more authors.
Transactions of Nonferrous Metals Society of China (English Edition) | Year: 2013

According to the features of melting process of regenerative aluminum melting furnaces, a three-dimensional mathematical model with user-developed melting model, burner reversing and burning capacity model was established. The numerical simulation of melting process of a regenerative aluminum melting furnace was presented using hybrid programming method of FLUENT UDF and FLUENT scheme based on the heat balance test. Burner effects on melting process of aluminum melting furnaces were investigated by taking optimization regulations into account. The change rules of melting time on influence factors are achieved. Melting time decreases with swirl number, vertical angle of burner, air preheated temperature or natural gas flow; melting time firstly decreases with horizontal angle between burners or air-fuel ratio, then increases; melting time increases with the height of burner. © 2013 The Nonferrous Metals Society of China.


Wang J.-M.,Central South University | Yan H.-J.,Central South University | Zhou J.-M.,Central South University | Li S.-X.,Suzhou Longray Thermal Technology Co. | Gui G.-C.,Suzhou Longray Thermal Technology Co.
Zhongguo Youse Jinshu Xuebao/Chinese Journal of Nonferrous Metals | Year: 2011

In order to better research and optimize the performance of aluminum melting furnace, based on reasonable model with user-defined melting model and oxidation loss model, a numerical simulation of coupling field between combustion space and aluminum bath in regenerative round aluminum melting furnace was presented using CFD software FLUENT. The effects of solid-liquid zone and porosity on melting process were described in details. The results show that the model reveals the melting phenomenon of the furnace better. The optimization of parameters for aluminum melting furnace can be studied by the above model. The effect rules of solid-liquid zone and porosity on melting parameters are obtained: The aluminum temperature increases slowly with melting time in solid-liquid zone, but increases fast when leaving solid-liquid phase lines. The furnace temperature and oxide mass increases with melting time periodically and parabolically, respectively. As the oxide thickness increases, the aluminum temperature increasing becomes slow with the increase of porosity.


Wang J.-M.,Central South University | Yan H.-J.,Central South University | Zhou J.-M.,Central South University | Li S.-X.,SuZhou Longray Thermal Technology Co. | Gui G.-C.,SuZhou Longray Thermal Technology Co.
Applied Thermal Engineering | Year: 2012

To achieve high thermal efficiency, less pollutant emission and high quality products, a study on a regenerative aluminum melting furnace was carried out. The effects of the vertical angle of burner (A), height of burner (B), secondary flue (C), swirl number (D), horizontal angle between burners (E), air preheated temperature (F), natural gas mass flow (G) and air-fuel ratio (H) on the performance of aluminum melting furnaces were investigated. RSD (relative standard deviation) of aluminum temperature (Y1), melting time (Y2) and RSD of furnace temperature (Y3) were designed for evaluation criteria. An orthogonal array was used to arrange CFD experimental plan for above factors. CFD technique, in association with the Taguchi method and cross-table-based analysis of variance were employed for parameter optimization of melting process of the aluminum melting furnace. The optimum condition which may be used to reduce energy consumption and pollutant emission is A2B3C3D3E2F1G3H1. The obtained results were confirmed by statistical analysis method. © 2011 Elsevier Ltd. All rights reserved.


Wang J.-M.,Anhui University of Technology | Yan H.-J.,Central South University | Zhou J.-M.,Central South University | Li S.-X.,Suzhou Longray Thermal Technology Co. | And 3 more authors.
Guocheng Gongcheng Xuebao/The Chinese Journal of Process Engineering | Year: 2012

Based on the features of melting process of regenerative aluminum melting furnaces, a mathematical model with user-developed burner reversing and burning capacity model and melting model, was established. Based on validating results by heat balance test for an aluminum melting furnace, CFD software FLUENT was used to simulate the coupling field between aluminum bath and combustion space. Considering influence analysis of burner arrangement on the performance of regenerative aluminum melting furnace, the relationship between burner arrangement and evaluation criteria was built using non-linear regression. Non-dominated sorting genetic algorithm-II was used to deal with multi-objective optimization for burner arrangement. The results show that the minimum RSD (relative standard deviation) of aluminum temperature (2.65%), dimensionless melting time (0.82) and RSD of furnace temperature (14.03%) could be obtained under the optimum conditions of vertical angle of burner 23.56°, height of burner 1471.81 mm, and horizontal angle between burners 62.05°.


Jimin W.,Central South University | Hongjie Y.,Central South University | Jiemin Z.,Central South University | Shixuan L.,Suzhou Longray Thermal Technology Co. | Guangchen G.,Suzhou Longray Thermal Technology Co.
Tezhong Zhuzao Ji Youse Hejin/Special Casting and Nonferrous Alloys | Year: 2011

In order to improve the energy efficiency and melt quality and to reduce the pollutant emission, based on validating results by heat balance test for regenerative aluminum melting furnace from a company, a reasonable model of aluminum melting furnace was established to optimize processing parameters. CFD software Fluent was used to simulate and optimize coupling field between liquid aluminum and combustion space at the varied horizontal angle between burners of the aluminum melting furnace. The results show that the desirable melting performance can be obtained with the horizontal angle between burners of 90°.


Wang J.-M.,Central South University | Yan H.-J.,Central South University | Zhou J.-M.,Central South University | Li S.-X.,Suzhou Longray Thermal Technology Co. | Gui G.-C.,Suzhou Longray Thermal Technology Co.
Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) | Year: 2012

In order to reduce heat loss and save cost, three-tier slab was simplified for furnace linings of widely-used reverberatory aluminum melting furnace in aluminum casting industry. Heat transfer analysis of different heat-insulating mode on furnace lining was carried out. Based on economic thickness method, the calculation formulae of economic thickness for furnace linings were introduced, and furnace linings were optimized by computer programming. On this basis, a three dimensional mathematical model of aluminum melting furnace was developed based on heat balance test of regenerative aluminum melting furnace. Furnace linings before and after optimization with 40-week working system were simulated by CFD software FLUENT. The results show that ideal economic effect is obtained by optimization as follows: furnace side with 40 mm clay castables, 300 mm diatomite brick and 120 mm alumino-silicate fiber felts; furnace top with 220 mm refractory concrete, 150 mm clay castables and 80 mm alumino-silicate fiber felts; furnace bottom with 200 mm high-alumina castable, 300 mm diatomite brick and 50 mm clay castables.

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