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Multiple-response optimization for melting process of aluminum melting furnace based on response surface methodology with desirability function

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Journal of Central South University 2012年第10期19卷 2875-2885页

作者：周孑民王计敏闫红杰李世轩贵广臣 School of Energy Science and Engineering Central South University Suzhou Longray Thermal Technology Co.Ltd.

To reduce the fuel consumption and emissions and also enhance the molten aluminum quality, a mathematical model with user-developed melting model and burning capacity model, were established according to the features of melting process of regenerative aluminum melting furnaces. Based on validating results by heat balance test for an aluminum melting furnace, CFD （computational fluid dynamics） technique, in association with statistical experimental design were used to optimize the melting process of the aluminum melting furnace. Four important factors influencing the melting time, such as horizontal angle between burners, height-to-radius ratio, natural gas mass flow and air preheated temperature, were identified by PLACKETT-BURMAN design. A steepest descent method was undertaken to determine the optimal regions of these factors. Response surface methodology with BOX-BEHNKEN design was adopted to further investigate the mutual interactions between these variables on RSD （relative standard deviation） of aluminum temperature, RSD of furnace temperature and melting time. Multiple-response optimization by desirability function approach was used to determine the optimum melting process parameters. The results indicate that the interaction between the height-to-radius ratio and horizontal angle between burners affects the response variables significantly. The predicted results show that the minimum RSD of aluminum temperature （12.13%）, RSD of furnace temperature （18.50%） and melting time （3.9 h） could be obtained under the optimum conditions of horizontal angle between burners as 64°, height-to-radius ratio as 0.3, natural gas mass flow as 599 m3/h, and air preheated temperature as 639 ℃. These predicted values were further verified by validation experiments. The excellent correlation between the predicted and experimental values confirms the validity and practicability of this statistical optimum strategy.

关键词： aluminum melting furnace melting process response surface methodology desirability function multiple response parameter optimization numerical simulation PLACKETT-BURMAN design BOX-BEHNKEN design

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Numerical Simulation of Magnetic Field Distribution in aluminum melting furnace With Electromagnetic Stirring

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Journal of Iron and Steel Research International 2012年第S1期19卷 179-182页

作者： CHEN Hong WU Li WANG Tong-min CAO Zhi-qiang LI Ting-ju School of Materials Science and Engineering Dalian University of Technology

In metallurgical processing,effective and reliable electromagnetic stirring of the melt is one of the prerequisites for higher productivity and improved process *** structure and electrical parameters of the stirrer are greatly significant on improving and enhancing the stirring *** this paper,ANSYS software is used to research the effect of stirrer parameters on magnetic field distribution in aluminum melting *** results show that magnetic flux density distributes as two humps at the direction(X)of metal *** flux density distributes as a hump at the direction(Z)of metal width,reaches its maximum at the pool center and decays gradually toward the *** is also demonstrated that magnetic flux density increases by 2.65mT,as kilo-ampere-turns increase by *** center distance between two coils changes the distribution of magnetic flux density rather than its magnitude,while the distance from coils to the bottom of molten aluminum changes the magnitude of magnetic flux density but no change of distribution.

关键词： numerical simulation electromagnetic stirring aluminum melting furnace

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维普期刊数据库

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Numerical Simulation of Magnetic Field Distribution in aluminum melting furnace With Electromagnetic Stirring

Numerical Simulation of Magnetic Field Distribution in Alumi...

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第七届冶金与材料电磁过程国际会议（EPM2012）

作者： CHEN Hong WU Li WANG Tong-min CAO Zhi-qiang LI Ting-ju School of Materials Science and Engineering Dalian University of Technology

In metallurgical processing,effective and reliable electromagnetic stirring of the melt is one of the prerequisites for higher productivity and improved process *** structure and electrical parameters of the stirrer are greatly significant on improving and enhancing the stirring *** this paper,ANSYS software is used to research the effect of stirrer parameters on magnetic field distribution in aluminum melting *** results show that magnetic flux density distributes as two humps at the direction（X） of metal *** flux density distributes as a hump at the direction（Z） of metal width,reaches its maximum at the pool center and decays gradually toward the *** is also demonstrated that magnetic flux density increases by 2.65 mT,as kilo-ampere-turns increase by *** center distance between two coils changes the distribution of magnetic flux density rather than its magnitude,while the distance from coils to the bottom of molten aluminum changes the magnitude of magnetic flux density but no change of distribution.

关键词： numerical simulation electromagnetic stirring aluminum melting furnace

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