A Design Method of Carbon Fiber Honeycomb Core Reflector Based on Thermal Coupling Deformation

Thermal coupling deformation is a critical challenge for high-precision, high-thermal-stability carbon fiber honeycomb core reflectors. This study proposes a comprehensive design method for such reflectors based on thermal coupling deformation. Three typical honeycomb core cell configurations are first compared to select an appropriate basic cell. The equivalent mechanical properties of the selected honeycomb core are then evaluated to establish the relationship between structural parameters and reflector thermal coupling deformation. An Ant Lion Optimizer (ALO) is subsequently used to optimize the honeycomb core height, cell edge length, number of skin plies, and ply angles while accounting for practical engineering constraints, including curing pressure and dead-weight deformation. The influence of manufacturing-induced ply angle deviations is further investigated, and a recommended process tolerance is identified. Finally, the optimized 2 m class reflector is evaluated through full-scale numerical simulation and thermal deformation testing. The predicted thermal deformation remains below 8 μm RMS at −120 °C. The measured RMS thermal deformations under uniform temperature fields at +120 °C and −120 °C were 6.8 and 7.2 μm, respectively. The differences between the estimated combined values and the experimental measurements are discussed in relation to the numerical predictions, testing system deviation, dead-weight deformation, and variability associated with ply angle deviations. Possible reasons for these differences are discussed to inform future work.

Authors

Institutions

Publication Details

Journal
Aerospace
Published
2026-10-16
DOI
https://doi.org/10.3390/aerospace13100949
Primary Topic
Composite Structure Analysis and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Design Method of Carbon Fiber Honeycomb Core Reflector Based on Thermal Coupling Deformation

JIANG Wenjian, Yonghua Huang, Tuanjie Li, Hangjia Dong
Aerospace
Composite Structure Analysis and Optimization
article

A Design Method of Carbon Fiber Honeycomb Core Reflector Based on Thermal Coupling Deformation

JIANG Wenjian, Yonghua Huang, Tuanjie Li, Hangjia Dong
article en

Abstract

Thermal coupling deformation is a critical challenge for high-precision, high-thermal-stability carbon fiber honeycomb core reflectors. This study proposes a comprehensive design method for such reflectors based on thermal coupling deformation. Three typical honeycomb core cell configurations are first compared to select an appropriate basic cell. The equivalent mechanical properties of the selected honeycomb core are then evaluated to establish the relationship between structural parameters and reflector thermal coupling deformation. An Ant Lion Optimizer (ALO) is subsequently used to optimize the honeycomb core height, cell edge length, number of skin plies, and ply angles while accounting for practical engineering constraints, including curing pressure and dead-weight deformation. The influence of manufacturing-induced ply angle deviations is further investigated, and a recommended process tolerance is identified. Finally, the optimized 2 m class reflector is evaluated through full-scale numerical simulation and thermal deformation testing. The predicted thermal deformation remains below 8 μm RMS at −120 °C. The measured RMS thermal deformations under uniform temperature fields at +120 °C and −120 °C were 6.8 and 7.2 μm, respectively. The differences between the estimated combined values and the experimental measurements are discussed in relation to the numerical predictions, testing system deviation, dead-weight deformation, and variability associated with ply angle deviations. Possible reasons for these differences are discussed to inform future work.

AerospaceVol. 13(10)
Xidian University (CN), Hubei Engineering University (CN), Xi'an Institute of Space Radio Technology (CN)
Openalex Percentile: Top 23%
Composite Structure Analysis 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.