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Structural Parameters Optimization and Grey Relational Analysis in Honeycomb Spiral Heat Exchangers

  • Zhengfang WangEmail author
  • Pengfei Han
  • Jia Wang
  • Wenjian Yu
  • Ming Li
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1074)

Abstract

Honeycomb structure in spiral baffle heat exchangers can enhance heat transfer, the heat transfer performance will be greatly affected by the change of structural parameters. The orthogonal optimization method was used to design 9 test schemes with 4 factors and 3 levels. For the designed scheme, the mathematical model and entity modeling were established with UG software, and the boundary conditions of mesh division were set and solved numerically with ANSYS Workbench software. In order to optimize the outlet temperature Nusselt number and the surface heat transfer coefficient, the range analysis of the solution results of the test scheme was carried out, the order of the influence factors was determined, and the optimal combination was found out. By setting the ideal scheme sequence, the grey relational degree between each scheme and the ideal scheme is obtained by grey relational analysis based on grey system theory, and the best scheme is the one with the largest relational degree. Finally, it is found that the result of grey correlation analysis is consistent with that of range analysis.

Keywords

Grey relational analysis Orthogonal optimization method Honeycomb spiral baffle heat exchanges 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Zhengfang Wang
    • 1
    • 2
    Email author
  • Pengfei Han
    • 2
  • Jia Wang
    • 2
  • Wenjian Yu
    • 2
  • Ming Li
    • 2
  1. 1.Zibo Vocational InstituteZiboChina
  2. 2.Shandong University of TechnologyZiboChina

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