Data · dataset · 2026
Pressure losses at bends and junctions
Listed in UCL Research Data Repository
A series of computational fluid dynamics (CFD) simulations and experiments were performed to study the flow in bends and junctions, to determine whether the CFD simulations could yield accurate pressure loss data for input into a one-dimensional engine simulation code.
Description
The experiments were carried out on a steady flow rig, and three bends with varying degrees of curvature, a T-junction, and a Y-junction were tested. The experiments covered Reynolds numbers from approximately 19800 to 126200, and the pressure loss data was presented in two forms: equivalent length, le/d, and loss coefficients.
The loss coefficient data showed a good correlation with reliable published data, but was prone to scatter, as has been reported in the literature. However, the le/d analysis produced consistent data, which showed clear trends. An empirical equation<br>has been developed to calculate the pressure drop due to the separation of the flow in an elbow bend.
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The addition of this equation to an existing equation, used to calculate the pressure drop due to friction, gives the total pressure drop in an elbow bend.<br><br>The experimental pressure measurements were used to provide boundary conditions for the CFD simulations. The k −, realizable k −, k −ω and Reynolds stress turbulence models were studied. The simulations predicted accurate pressure loss data for the bends with a moderate radius of curvature, where no flow separation occurred, and the combining flow configurations of the junctions, where favourable pressure gradients were present.
However, for the bend with the tightest radius of curvature and for the dividing flow junction configurations, flow separation and strong adverse pressure gradients conspired to have a detrimental effect on the accuracy of the predicted pressure losses. The Reynolds stress turbulence model (RSM) yielded the most accurate<br>correlation with the experimental pressure loss data.
Links
Where it is published
- DOI doi.org/10.17034/32628489.v1 ↗
DOI / persistent id · from rdr ucl ac uk
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from rdr ucl ac uk
Topics
- From keywords
- Earth & Environmental Science
- Inferred from text
- Simulation 75%
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| UCL Research Data Repository | oai:figshare.com:article/32628489 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].local:field:earth-environmental | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · rdr ucl ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | /metadata/dc/description |
| license_text | source · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| publication_date | source · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| title | source · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | /metadata/dc/title |