Analysis of Complex Total Pressure Distortion Screens Using One-Dimensional Loss Data

Abstract Producing a screen for use in generating an accurate, complex total pressure distortion involves solving two distinct problems. First, the basic loss characteristics of wire mesh screens must be established. Second, the interaction between multiple regions with different loss coefficients (as seen in a complex screen) must be accurately accounted for. Both tasks must be solved effectively to design an accurate screen. For the first goal, we present a comprehensive data set of correlations for the losses generated by a wire mesh, stacked on top of a “backer” support screen. While some publicly available data exist for the losses induced by a single mesh on its own, the losses in a real total pressure loss screen are dependent on the interaction between the backer and the loss meshes. As a result, the data presented here include the effects of the backer. For the second task, as flow encounters a screen composed of many meshes, it redistributes itself such that the flowrate is higher through the low-loss regions and lower through the high-loss regions. A simple parallel flow model, with appropriate physically justified assumptions, can accurately predict this redistribution, and we demonstrate its effectiveness via comparison with computational fluid dynamics and experiment.

Authors

Institutions

Publication Details

Journal
Journal of Turbomachinery
Published
2025-03-05
DOI
https://doi.org/10.1115/1.4068097
Primary Topic
Vibration and Dynamic Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Complex Total Pressure Distortion Screens Using One-Dimensional Loss Data

John Gillespie, Alexandrina Untăroiu, Andrew Hayden, K. Todd Lowe et al.
Journal of Turbomachinery
Vibration and Dynamic Analysis
article

Analysis of Complex Total Pressure Distortion Screens Using One-Dimensional Loss Data

John Gillespie, Alexandrina Untăroiu, Andrew Hayden, K. Todd Lowe, Chase Nessler
article en

Abstract

Abstract Producing a screen for use in generating an accurate, complex total pressure distortion involves solving two distinct problems. First, the basic loss characteristics of wire mesh screens must be established. Second, the interaction between multiple regions with different loss coefficients (as seen in a complex screen) must be accurately accounted for. Both tasks must be solved effectively to design an accurate screen. For the first goal, we present a comprehensive data set of correlations for the losses generated by a wire mesh, stacked on top of a “backer” support screen. While some publicly available data exist for the losses induced by a single mesh on its own, the losses in a real total pressure loss screen are dependent on the interaction between the backer and the loss meshes. As a result, the data presented here include the effects of the backer. For the second task, as flow encounters a screen composed of many meshes, it redistributes itself such that the flowrate is higher through the low-loss regions and lower through the high-loss regions. A simple parallel flow model, with appropriate physically justified assumptions, can accurately predict this redistribution, and we demonstrate its effectiveness via comparison with computational fluid dynamics and experiment.

Journal of TurbomachineryVol. 147(10)
Randolph College (US), United States Air Force Research Laboratory (US), State Street (United States) (US), Wright-Patterson Air Force Base (US), D-Tech (United States) (US), Virginia Tech (US)
Air Force Research Laboratory
Openalex Percentile: Top 96%
Vibration and Dynamic Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.