Dimensions optimization design of a low-speed wind tunnel for an expanded test section with limited overall space

In this paper, a novel multi-objective optimization framework is proposed for the global dimensions of the low-speed wind tunnel supported by the Belt and Road Joint Laboratory (BRJL-LWT). Three indexes are considered in the process: the flow quality index, the total pressure loss index and the test section volume index. The flow quality is taken as a constraint on the aerodynamic requirements, while pursuing a larger test section space and lower total pressure loss. A multi-objective optimization algorithm is adopted as the solver for the optimization process at four initial flow velocities. The results show that the flow quality of the optimized large test section fully meets the target requirements for structure fluid testing. The total pressure loss index is inversely proportional to the test section volume index for all initial flow velocities. Finally, the optimal BRJL-LWT dimensions are determined and the optimal BRJL-LWT model is developed. The fluid analyses are performed to assess the flow uniformity and turbulence intensity of the fluid within the test section. This optimization framework not only enables the designed wind tunnel to produce the required flow field conditions, but also makes efficient use of the test section space and reduces the facility's operational energy consumption, which significantly extends the applicability of the wind tunnel design.

Publication Details

Journal
Virtual Community of Pathological Anatomy (University of Castilla La Mancha)
Published
2025-01-01
DOI
https://doi.org/10.12989/was.2025.40.1.061
Primary Topic
Enzyme Structure and Function
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dimensions optimization design of a low-speed wind tunnel for an expanded test section with limited overall space

Virtual Community of Pathological Anatomy (University of Castilla La Mancha)
Enzyme Structure and Function
article

Dimensions optimization design of a low-speed wind tunnel for an expanded test section with limited overall space

article en

Abstract

In this paper, a novel multi-objective optimization framework is proposed for the global dimensions of the low-speed wind tunnel supported by the Belt and Road Joint Laboratory (BRJL-LWT). Three indexes are considered in the process: the flow quality index, the total pressure loss index and the test section volume index. The flow quality is taken as a constraint on the aerodynamic requirements, while pursuing a larger test section space and lower total pressure loss. A multi-objective optimization algorithm is adopted as the solver for the optimization process at four initial flow velocities. The results show that the flow quality of the optimized large test section fully meets the target requirements for structure fluid testing. The total pressure loss index is inversely proportional to the test section volume index for all initial flow velocities. Finally, the optimal BRJL-LWT dimensions are determined and the optimal BRJL-LWT model is developed. The fluid analyses are performed to assess the flow uniformity and turbulence intensity of the fluid within the test section. This optimization framework not only enables the designed wind tunnel to produce the required flow field conditions, but also makes efficient use of the test section space and reduces the facility's operational energy consumption, which significantly extends the applicability of the wind tunnel design.

Virtual Community of Pathological Anatomy (University of Castilla La Mancha)
Affordable and clean energy
Openalex Percentile: Top 61%
Enzyme Structure and Function
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.