Multi-Objective Optimization of Asymmetric Plate Heat Exchanger with a Fish-Scale Corrugation Pattern.

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Title: Multi-Objective Optimization of Asymmetric Plate Heat Exchanger with a Fish-Scale Corrugation Pattern.
Authors: Yan, Ming1 (AUTHOR), Ma, Xiaojun1,2 (AUTHOR), Yu, Kaiyuan1 (AUTHOR), Zhang, Lingjie2 (AUTHOR), Zhang, Ting2 (AUTHOR), Liu, Baoqing1 (AUTHOR) baoqingliu@zju.edu.cn
Source: Energies (19961073). Jun2026, Vol. 19 Issue 11, p2663. 24p.
Subject Terms: *Plate heat exchangers, *Multi-objective optimization, *Genetic algorithms, *Numerical analysis, *Response surfaces (Statistics), *Pressure drop (Fluid dynamics), *Heat transfer
Abstract: In many industrial applications, the significant differences in flow rates and physical properties between the hot and cold media of plate heat exchangers (PHEs) often lead to differentiated performance requirements. Asymmetric structural design is an effective approach to addressing these specific needs. In this paper, a novel fish-scale corrugated asymmetric plate heat exchanger (APHE) was designed and multi-objective optimization was performed based on the objectives of minimizing the water side pressure drop, ΔP, and maximizing the overall heat transfer coefficient, K. Numerical simulations of the fish-scale corrugated APHE were conducted with the Box–Behnken Design (BBD) in the Response Surface Methodology (RSM). The corrugation angle, corrugation pitch, and protrusion ratio were selected as geometric variables. Through Analysis of Variance (ANOVA), significant regression models were established for the two competing performance indicators. Subsequently, Pareto optimal solutions were identified using the fast and elitist non-dominated sorting genetic algorithm (NSGA-II). A comparison of the performances reveals that the novel APHE reduces ΔP by 47.13% and increases K by 5.77% compared to the original chevron-type PHE. Further analysis of the simulation data reveals that the convective heat transfer coefficient on the refrigerant side is increased by 24.06%. These findings substantiate the benefits of the asymmetric feature of the fish-scale protrusion and offer a comprehensive and effective design strategy for APHEs. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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DbLabel: Energy & Power Source
An: 194588051
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  Label: Title
  Group: Ti
  Data: Multi-Objective Optimization of Asymmetric Plate Heat Exchanger with a Fish-Scale Corrugation Pattern.
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  Data: <searchLink fieldCode="AR" term="%22Yan%2C+Ming%22">Yan, Ming</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ma%2C+Xiaojun%22">Ma, Xiaojun</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Kaiyuan%22">Yu, Kaiyuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Lingjie%22">Zhang, Lingjie</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Ting%22">Zhang, Ting</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Baoqing%22">Liu, Baoqing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> baoqingliu@zju.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jun2026, Vol. 19 Issue 11, p2663. 24p.
– Name: Subject
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  Data: *<searchLink fieldCode="DE" term="%22Plate+heat+exchangers%22">Plate heat exchangers</searchLink><br />*<searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink><br />*<searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Response+surfaces+%28Statistics%29%22">Response surfaces (Statistics)</searchLink><br />*<searchLink fieldCode="DE" term="%22Pressure+drop+%28Fluid+dynamics%29%22">Pressure drop (Fluid dynamics)</searchLink><br />*<searchLink fieldCode="DE" term="%22Heat+transfer%22">Heat transfer</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In many industrial applications, the significant differences in flow rates and physical properties between the hot and cold media of plate heat exchangers (PHEs) often lead to differentiated performance requirements. Asymmetric structural design is an effective approach to addressing these specific needs. In this paper, a novel fish-scale corrugated asymmetric plate heat exchanger (APHE) was designed and multi-objective optimization was performed based on the objectives of minimizing the water side pressure drop, ΔP, and maximizing the overall heat transfer coefficient, K. Numerical simulations of the fish-scale corrugated APHE were conducted with the Box–Behnken Design (BBD) in the Response Surface Methodology (RSM). The corrugation angle, corrugation pitch, and protrusion ratio were selected as geometric variables. Through Analysis of Variance (ANOVA), significant regression models were established for the two competing performance indicators. Subsequently, Pareto optimal solutions were identified using the fast and elitist non-dominated sorting genetic algorithm (NSGA-II). A comparison of the performances reveals that the novel APHE reduces ΔP by 47.13% and increases K by 5.77% compared to the original chevron-type PHE. Further analysis of the simulation data reveals that the convective heat transfer coefficient on the refrigerant side is increased by 24.06%. These findings substantiate the benefits of the asymmetric feature of the fish-scale protrusion and offer a comprehensive and effective design strategy for APHEs. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en19112663
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 24
        StartPage: 2663
    Subjects:
      – SubjectFull: Plate heat exchangers
        Type: general
      – SubjectFull: Multi-objective optimization
        Type: general
      – SubjectFull: Genetic algorithms
        Type: general
      – SubjectFull: Numerical analysis
        Type: general
      – SubjectFull: Response surfaces (Statistics)
        Type: general
      – SubjectFull: Pressure drop (Fluid dynamics)
        Type: general
      – SubjectFull: Heat transfer
        Type: general
    Titles:
      – TitleFull: Multi-Objective Optimization of Asymmetric Plate Heat Exchanger with a Fish-Scale Corrugation Pattern.
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Yan, Ming
      – PersonEntity:
          Name:
            NameFull: Ma, Xiaojun
      – PersonEntity:
          Name:
            NameFull: Yu, Kaiyuan
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            NameFull: Zhang, Lingjie
      – PersonEntity:
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            NameFull: Zhang, Ting
      – PersonEntity:
          Name:
            NameFull: Liu, Baoqing
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          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 19961073
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            – Type: volume
              Value: 19
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: Energies (19961073)
              Type: main
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