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Numerical simulation and process optimization of an aluminum holding furnace based on response surface methodology and uniform design

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  • Wang, Ji-min
  • Lan, Shen
  • Li, Wen-ke

Abstract

It is indispensable for strengthening smelting process and controlling fine to understand metallurgical behaviors and mechanism of production process of aluminum holding furnaces. A CFD (computational fluid dynamics) compressive process model was developed and integrated with energy distribution regime using user subroutines based on FLUENT code. Integrated intelligence ideas with a combination of response surface methodology and uniform design was employed to quantitatively achieve the inherent laws of thermal characteristics and mechanism behind various factors. The optimal scheme obtained from the compromise of the two desirable responses was as follows: flue position of same side, oxidant type of pure oxygen, air preheated temperature of 719 K, natural gas velocity of 108.88 m/s, burner height of 1150 mm, vertical burner angle of 5°, pool depth of 625 mm, horizontal spacing between burners of 2050 mm, height-radius ratio of 0.6, air–fuel ratio of 1.04, and burner load ratio of 1:1. The maximal end aluminum temperature uniform coefficient of 12.85% and minimal energy consumption per ton of aluminum of 0.01092 kg ce/t-Al were obtained. Confirmed experiments demonstrated that such a combination of the CFD, RSM (response surface methodology) and UD (uniform design) is a powerful and useful approach for process optimization of aluminum holding furnaces.

Suggested Citation

  • Wang, Ji-min & Lan, Shen & Li, Wen-ke, 2014. "Numerical simulation and process optimization of an aluminum holding furnace based on response surface methodology and uniform design," Energy, Elsevier, vol. 72(C), pages 521-535.
    • Handle: RePEc:eee:energy:v:72:y:2014:i:c:p:521-535
    DOI: 10.1016/j.energy.2014.05.077
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    Cited by:

    1. Najafi, Gholamhassan & Ghobadian, Barat & Yusaf, Talal & Safieddin Ardebili, Seyed Mohammad & Mamat, Rizalman, 2015. "Optimization of performance and exhaust emission parameters of a SI (spark ignition) engine with gasoline–ethanol blended fuels using response surface methodology," Energy, Elsevier, vol. 90(P2), pages 1815-1829.
    2. Kim, Joon-Hyung & Cho, Bo-Min & Kim, Sung & Kim, Jin-Woo & Suh, Jun-Won & Choi, Young-Seok & Kanemoto, Toshiaki & Kim, Jin-Hyuk, 2017. "Design technique to improve the energy efficiency of a counter-rotating type pump-turbine," Renewable Energy, Elsevier, vol. 101(C), pages 647-659.
    3. Garg, A. & Lam, Jasmine Siu Lee, 2017. "Design of explicit models for estimating efficiency characteristics of microbial fuel cells," Energy, Elsevier, vol. 134(C), pages 136-156.
    4. Jóźwiak, Piotr & Hercog, Jarosław & Kiedrzyńska, Aleksandra & Badyda, Krzysztof, 2019. "CFD analysis of natural gas substitution with syngas in the industrial furnaces," Energy, Elsevier, vol. 179(C), pages 593-602.

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