Determination of the head loss coefficient of closely spaced pipe bends

Thokozani Justin Kunene, Graeme Oliver, Jasper Steyn

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

The head loss coefficient (HLC) of closely spaced pipe bends is presented in this study. The objective of this study was to develop an accurate but simple empirical correlation for computing an HLC of two 900 smooth pipe bends that are separated by a short pipe. ANSYS Fluent 19.0, a commercial Computational Fluid Dynamic (CFD) package, was used to provide flow visualization and the magnitude of the HLC. The computational model was validated by comparing the HLC of a single bend and was found to be sound. The computational results for closely spaced pipe bends were compared to experiments that were conducted on smooth pipes and bends. The experiments showed HLC trends similar to those of the CFD simulations and of published data. The HLC is expressed as a single value for the two bends. The study found that this value increases as the spacer length between the two bends increases. The HLC depends on two geometric parameters, viz., spacing ratio and curvature ratio. When the spacer length exceeds 10D the HLC converges to the value of the sum of two conventional single bends HLCs.

Original languageEnglish
Pages627-639
Number of pages13
Publication statusPublished - 2018
Event11th South African Conference on Computational and Applied Mechanics, SACAM 2018 - Vanderbijlpark, South Africa
Duration: 17 Sept 201819 Sept 2018

Conference

Conference11th South African Conference on Computational and Applied Mechanics, SACAM 2018
Country/TerritorySouth Africa
CityVanderbijlpark
Period17/09/1819/09/18

Keywords

  • Computational Fluid Dynamics
  • Head Loss Coefficient
  • Pipe Bends
  • Spacing Ratio

ASJC Scopus subject areas

  • Mechanical Engineering
  • Computational Mechanics

Fingerprint

Dive into the research topics of 'Determination of the head loss coefficient of closely spaced pipe bends'. Together they form a unique fingerprint.

Cite this