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Study of Heat Transfer and the Hydrodynamic Performance of Gas–Solid Heat Transfer in a Vertical Sinter Cooling Bed Using the CFD-Taguchi-Grey Relational Analysis Method

Author

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  • Junpeng Fu

    (Department of Thermal Engineering, SEP Key Laboratory of Eco-Industry, School of Metallurgy, Northeastern University, Shenyang 110819, China)

  • Jiuju Cai

    (Department of Thermal Engineering, SEP Key Laboratory of Eco-Industry, School of Metallurgy, Northeastern University, Shenyang 110819, China)

Abstract

The vertical sinter cooling bed (VSCB) is a high-efficiency energy-saving and environmentally friendly waste heat recovery equipment. In this study, a computational fluid dynamics (CFD) convection model was established to reveal the typical factors on the thermodynamic performance in VSCB. Indeed, a multiple performance optimal algorithm based on the Taguchi-grey relational analysis (GRA) method was first applied to investigate the effects of geometric and operational factors, including the diameter of the bed, height of the bed, air mass flow rate, air inlet temperature, and sinter mass flow rate, on improving the heat transfer ( Ex ) and hydrodynamic performance ( P drop ) and obtain the optimum combination of each factor in VSCB. The results found that the diameter of the bed was the most influential factor contributing the multiple types of performance with a contribution rate of 70.51%, followed by the air mass flow rate (15.84%), while the height of the bed (0.27%) exerted a limited effect on the performance of multiple processes. The optimal combination of factors (A 1 B 5 C 5 D 5 E 1 ) was compared with the initially selected parameters by performing a confirmation test. The performances of heat transfer and hydrodynamics were improved by the Taguchi with the GRA method.

Suggested Citation

  • Junpeng Fu & Jiuju Cai, 2020. "Study of Heat Transfer and the Hydrodynamic Performance of Gas–Solid Heat Transfer in a Vertical Sinter Cooling Bed Using the CFD-Taguchi-Grey Relational Analysis Method," Energies, MDPI, vol. 13(9), pages 1-30, May.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2225-:d:353572
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    References listed on IDEAS

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    1. Liu, Yan & Yang, Jian & Wang, Jing-yu & Ding, Xu-gang & Cheng, Zhi-long & Wang, Qiu-wang, 2015. "Prediction, parametric analysis and bi-objective optimization of waste heat utilization in sinter cooling bed using evolutionary algorithm," Energy, Elsevier, vol. 90(P1), pages 24-35.
    2. Zheng, Ying & Cai, Jiu-ju & Dong, Hui & Feng, Jun-sheng & Liu, Jing-yu, 2019. "Experimental investigation of volumetric exergy transfer coefficient in vertical moving bed for sinter waste heat recovery," Energy, Elsevier, vol. 167(C), pages 428-439.
    3. Bademlioglu, A.H. & Canbolat, A.S. & Kaynakli, O., 2020. "Multi-objective optimization of parameters affecting Organic Rankine Cycle performance characteristics with Taguchi-Grey Relational Analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    4. Liu, Yan & Yang, Jian & Wang, Jin & Cheng, Zhi-long & Wang, Qiu-wang, 2014. "Energy and exergy analysis for waste heat cascade utilization in sinter cooling bed," Energy, Elsevier, vol. 67(C), pages 370-380.
    5. Jeffrey Kuo, Chung-Feng & Su, Te-Li & Jhang, Po-Ruei & Huang, Chao-Yang & Chiu, Chin-Hsun, 2011. "Using the Taguchi method and grey relational analysis to optimize the flat-plate collector process with multiple quality characteristics in solar energy collector manufacturing," Energy, Elsevier, vol. 36(5), pages 3554-3562.
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