High-performance computing methods for designing an effective plate-fin pre-cooler

Abstract The pre-cooler as a critical component in aero-engines, is designed to rapidly cool high-temperature gases. Its internal fluid flow is inhomogeneous, influenced by thermal boundary layers, which results in a significant discrepancy between calculated and measured values. To bridge the gap between theoretical predictions and actual measurements, a new computational method for evaluating the flow and cooling effect of plate-fin pre-coolers has been developed, extending the approach used for plate-fin heat exchangers. This method takes into account the pre-cooler’s outlet temperature and heat transfer efficiency and introduces a turbulence section at the outlet of the high-temperature gas. The proposed method shows discrepancies between calculated and tested hot side outlet temperatures, ranging from 3.98% to 5.21% (average 4.63%), and for cold side outlet temperatures, the range is 1.32% to 3% (average 2.32%). The discrepancy for the hot side turbulence section compared to the unaugmented pre-cooler section is between 2.66% and 6.34% (average 4.62%). This computational evaluation method not only validates its own reliability but also provides a rapid means to assess the performance of plate-fin pre-coolers.

Authors

Institutions

Publication Details

Journal
Journal of Physics Conference Series
Published
2025-02-01
DOI
https://doi.org/10.1088/1742-6596/2955/1/012023
Primary Topic
Heat Transfer and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-performance computing methods for designing an effective plate-fin pre-cooler

Rui Li, S J Zhang, Xin Ning, Heng Qi et al.
Journal of Physics Conference Series
Heat Transfer and Optimization
article

High-performance computing methods for designing an effective plate-fin pre-cooler

Rui Li, S J Zhang, Xin Ning, Heng Qi, Jie Guo, Chang-Yin Zhao
article en

Abstract

Abstract The pre-cooler as a critical component in aero-engines, is designed to rapidly cool high-temperature gases. Its internal fluid flow is inhomogeneous, influenced by thermal boundary layers, which results in a significant discrepancy between calculated and measured values. To bridge the gap between theoretical predictions and actual measurements, a new computational method for evaluating the flow and cooling effect of plate-fin pre-coolers has been developed, extending the approach used for plate-fin heat exchangers. This method takes into account the pre-cooler’s outlet temperature and heat transfer efficiency and introduces a turbulence section at the outlet of the high-temperature gas. The proposed method shows discrepancies between calculated and tested hot side outlet temperatures, ranging from 3.98% to 5.21% (average 4.63%), and for cold side outlet temperatures, the range is 1.32% to 3% (average 2.32%). The discrepancy for the hot side turbulence section compared to the unaugmented pre-cooler section is between 2.66% and 6.34% (average 4.62%). This computational evaluation method not only validates its own reliability but also provides a rapid means to assess the performance of plate-fin pre-coolers.

Journal of Physics Conference SeriesVol. 2955(1)
Aviation Industry Corporation of China (China) (CN), Henan Institute of Science and Technology (CN)
Openalex Percentile: Top 98%
Heat Transfer and Optimization
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.

High-performance computing methods for designing an effective plate-fin pre-cooler — Rui Li, S J Zhang, et al. · Journal of Physics Conference Series (2025) | TGRS Research Map | TGRS