Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Mathematical modelling of swirling flow in hydraulic turbines for the full operating range

Romeo Susan‐Resiga, Sebastian Muntean, François Avellan, I. Anton

Applied Mathematical Modelling · 2011

Read source ↗ All evidence

Summary

This 2011 paper by Resiga et al. develops mathematical models to characterise swirling flow in hydraulic turbines across their complete operating envelope. Published in Applied Mathematical Modelling, the work appears to focus on computational and theoretical approaches to understanding flow dynamics in turbomachinery, a topic peripheral to agricultural and food systems research.

UK applicability

This record is not applicable to UK farming systems, soil health, nutrient density or human health research. The subject matter—hydraulic turbine engineering—falls outside the scope of Vitagri's Pulse Brain catalogue.

Key measures

Swirling flow parameters in hydraulic turbines; turbine operating range performance characteristics

Outcomes reported

This paper presents mathematical models describing swirling flow behaviour in hydraulic turbines across their full operating range. The study addresses flow characteristics relevant to turbine design and performance optimisation.

Theme
General food systems / other
Subject
Other / interdisciplinary
Study type
Research
Study design
Research
Source type
Peer-reviewed study
Status
Published
System type
Other
DOI
10.1016/j.apm.2011.03.052
Catalogue ID
SNmoqqsttw-hgob5k

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.