Multi-Objective Parametric Optimization of a Double-Wall Cooling Unit Under Realistic Engine Conditions via Conjugate Heat Transfer Simulations.

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Title: Multi-Objective Parametric Optimization of a Double-Wall Cooling Unit Under Realistic Engine Conditions via Conjugate Heat Transfer Simulations.
Authors: Zhang, Yun1,2 (AUTHOR), Gao, Wenjing1,2 (AUTHOR), Zhang, Siyuan1 (AUTHOR), Li, Xueying1,2 (AUTHOR), Ren, Jing1 (AUTHOR) renj@tsinghua.edu.cn
Source: Energies (19961073). Jun2026, Vol. 19 Issue 12, p2822. 20p.
Subject Terms: *Multi-objective optimization, *Cooling systems, *Heat transfer, *Cooling, *Thermal stresses
Abstract: The continuous rise in turbine inlet temperatures to maximize engine efficiency makes highly integrated composite cooling schemes essential, but their intricate thermal interactions pose formidable challenges for parameter optimization. In this study, an impingement–pin-fin–film configuration is extracted as a representative composite cooling unit from a double-wall blade and subjected to 3D steady-state RANS simulations under realistic engine conditions. The numerical results are then used to construct quadratic polynomial response surface surrogate models for multi-objective optimization. It is revealed that the blowing ratio dictates overall thermal performance primarily through internal cooling, and excessively high ratios weaken the film coverage. Geometrically, insufficient control over the spanwise ratio disrupts film coverage and breaks the continuity of internal cooling, thereby degrading both cooling effectiveness and structural thermal compatibility. Additionally, a critical region is located upstream of the film hole exit; the combination of an extremely thin solid wall and high heat transfer coefficients creates a localized over-cooled zone, severely constraining temperature uniformity. Ultimately, the optimization framework clarifies the coupled flow and heat transfer behaviors of the double-wall unit. It simultaneously maximizes area-averaged overall cooling effectiveness and temperature uniformity while minimizing coolant mass flow, revealing the key mechanism behind induced thermal stress concentrations. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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An: 194909271
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  Label: Title
  Group: Ti
  Data: Multi-Objective Parametric Optimization of a Double-Wall Cooling Unit Under Realistic Engine Conditions via Conjugate Heat Transfer Simulations.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Yun%22">Zhang, Yun</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gao%2C+Wenjing%22">Gao, Wenjing</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Siyuan%22">Zhang, Siyuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Xueying%22">Li, Xueying</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ren%2C+Jing%22">Ren, Jing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> renj@tsinghua.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jun2026, Vol. 19 Issue 12, p2822. 20p.
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  Data: *<searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Cooling+systems%22">Cooling systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Heat+transfer%22">Heat transfer</searchLink><br />*<searchLink fieldCode="DE" term="%22Cooling%22">Cooling</searchLink><br />*<searchLink fieldCode="DE" term="%22Thermal+stresses%22">Thermal stresses</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The continuous rise in turbine inlet temperatures to maximize engine efficiency makes highly integrated composite cooling schemes essential, but their intricate thermal interactions pose formidable challenges for parameter optimization. In this study, an impingement–pin-fin–film configuration is extracted as a representative composite cooling unit from a double-wall blade and subjected to 3D steady-state RANS simulations under realistic engine conditions. The numerical results are then used to construct quadratic polynomial response surface surrogate models for multi-objective optimization. It is revealed that the blowing ratio dictates overall thermal performance primarily through internal cooling, and excessively high ratios weaken the film coverage. Geometrically, insufficient control over the spanwise ratio disrupts film coverage and breaks the continuity of internal cooling, thereby degrading both cooling effectiveness and structural thermal compatibility. Additionally, a critical region is located upstream of the film hole exit; the combination of an extremely thin solid wall and high heat transfer coefficients creates a localized over-cooled zone, severely constraining temperature uniformity. Ultimately, the optimization framework clarifies the coupled flow and heat transfer behaviors of the double-wall unit. It simultaneously maximizes area-averaged overall cooling effectiveness and temperature uniformity while minimizing coolant mass flow, revealing the key mechanism behind induced thermal stress concentrations. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/en19122822
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 2822
    Subjects:
      – SubjectFull: Multi-objective optimization
        Type: general
      – SubjectFull: Cooling systems
        Type: general
      – SubjectFull: Heat transfer
        Type: general
      – SubjectFull: Cooling
        Type: general
      – SubjectFull: Thermal stresses
        Type: general
    Titles:
      – TitleFull: Multi-Objective Parametric Optimization of a Double-Wall Cooling Unit Under Realistic Engine Conditions via Conjugate Heat Transfer Simulations.
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            NameFull: Zhang, Yun
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            NameFull: Gao, Wenjing
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            NameFull: Li, Xueying
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            NameFull: Ren, Jing
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            – D: 15
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 19961073
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              Value: 19
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              Value: 12
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            – TitleFull: Energies (19961073)
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