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Multi-objective shape optimization of double pipe heat exchanger with inner corrugated tube using RSM method

  • Huai Zhi Han
  • , Bing Xi Li*
  • , Hao Wu
  • , Wei Shao
  • *Corresponding author for this work
  • College of Power and Energy Engineering, Harbin Engineering University
  • School of Energy Science and Engineering, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Integrated a fully developing three-dimensional heat transfer and flow model, a multi-objective optimization aims to fulfill the geometric design for double-tube heat exchangers with inner corrugated tube is investigated in this work with RSM. Dimensionless corrugation pitch (p/D), dimensionless corrugation height (H/D), dimensionless corrugation radius (r/D) and Reynolds number (Re) are considered as four design parameters. Considering the process parameters, the characteristic numbers involving heat transfer characteristic, resistance characteristic and overall heat transfer performance calculated by CFD, and are served as objective functions to the RSM (Nuc, fc, Nuc/Nuc, fs/fc and σ in this paper). The results of optimal designs are a set of multiple optimum solutions, called 'Pareto optimal solutions'. It reveals the identical tendency of Nuc/Nus and fc/fs reflecting the conflict between them that means augmenting the heat transfer performance with various design parameters in the optimal situation inevitably sacrificed the increase of flow resistance. According to the Pareto optimal curves, the optimum designing parameters of double pipe heat exchanger with inner corrugated tube under the constrains of Nuc/Nus ≥ 1.2 are found to be P/D = 0.82, H/D = 0.22, r/D = 0.23, Re = 26,263, corresponding to the maximum value of σ = 1.12.

Original languageEnglish
Pages (from-to)173-186
Number of pages14
JournalInternational Journal of Thermal Sciences
Volume90
DOIs
StatePublished - Apr 2015
Externally publishedYes

Keywords

  • Corrugated tube
  • Double pipe heat exchanger
  • Multi-objective optimization
  • Objective function
  • RSM

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