Investigation of natural-convection heat transfer coefficient on a vertical square fin of finned-tube heat exchangers

Han Taw Chen, Jui Che Chou

Research output: Contribution to journalArticlepeer-review

57 Citations (Scopus)

Abstract

The finite difference method in conjunction with the least-squares scheme and the experimental temperature data is proposed to predict the average natural-convection heat transfer coefficient and the fin efficiency on a vertical square fin of one-circular tube plate finned-tube heat exchangers. In the present study, the radiation and convection heat transfer coefficients are simultaneously taken into consideration. The heat transfer coefficient on this square fin is very non-uniform. Thus the whole plate fin is divided into several sub-fin regions in order to predict the average heat transfer coefficient over(h, ̄) and the fin efficiency on the fin from the knowledge of the fin temperature recordings at several selected measurement locations. The results show that the heat transfer coefficient on the bottom fin region of the tube can be markedly higher than that on the top fin region of the tube. The over(h, ̄) value increases with the fin spacing S and approaches an asymptotical value obtained from a single square fin as S → ∞. The fin temperature distributions depart from the ideal isothermal situation and the fin temperature decreases more rapidly away from the circular center with increasing the fin spacing. In order to show the accuracy of the present inverse scheme, a comparison of the average heat transfer coefficient on the fin between the present predicated results and those obtained from the correlation recommended by current textbooks is made.

Original languageEnglish
Pages (from-to)3034-3044
Number of pages11
JournalInternational Journal of Heat and Mass Transfer
Volume49
Issue number17-18
DOIs
Publication statusPublished - 2006 Aug 1

All Science Journal Classification (ASJC) codes

  • Condensed Matter Physics
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes

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