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Thermal Degradation Modelling and Lifetime Prediction Method of Airborne TR Module |
Received:February 23, 2025 Revised:March 30, 2025 |
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DOI:10.7643/issn.1672-9242.2025.05.005 |
KeyWord:TR module thermal grease thermal performance degradation model accelerated test life prediction |
Author | Institution |
LI Hao |
Aerospace Science & Industry Corp Defense Technology R&T Center, Beijing , China |
ZHOU Yubo |
School of Astronautics, Xi'an Jiaotong University, Xi'an , China |
ZHAO Pengfei |
Aerospace Science & Industry Corp Defense Technology R&T Center, Beijing , China |
ZHANG Xiangyu |
Aerospace Science & Industry Corp Defense Technology R&T Center, Beijing , China |
LI Qun |
School of Astronautics, Xi'an Jiaotong University, Xi'an , China |
ZHANG Shengpeng |
Aerospace Science & Industry Corp Defense Technology R&T Center, Beijing , China |
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Abstract: |
The work aims to reveal the degradation mechanism of thermal performance in airborne TR modules under long-term storage conditions and predict their thermal degradation lifespan. The two main degradation mechanisms of TR modules were identified as thermal grease extrusion caused by external forces and silicone oil volatilization. A thermal performance characterization model was established with equivalent thermal conductivity as the key parameter. By integrating a modified Lucas-Washburn (LW) equation to describe grease extrusion phenomena and classical volatilization models to simulate oil evaporation, a comprehensive mass loss model and an equivalent thermal conductivity degradation model were developed. Accelerated degradation tests were designed and conducted to validate the mass loss model with samples weight loss data, followed by the thermal degradation lifespan prediction of TR modules based on verified models. The model calibrated with first three test cycles demonstrated the effectiveness of the proposed models, showing only 1.53% relative error between prediction results and measured results of the fourth-cycle weight loss. Then, the degradation model of equivalent thermal conductivity of silicone grease between layers of TR modules was re-fitted by the test data of all cycles, and the thermal degradation lifespan of TR modules was predicted. The calculation results showed that after 9.03 years of storage, the TR modules in question would fail because the thermal performance could not meet the working requirements. The model proposed has strong physical meaning, and the experimental results show that the prediction error of the model is small and the precision is high, which indicates that the proposed model can describe the thermal degradation process of TR modules well. At the same time, the model has few parameters, which can be determined through a few experiments, so it has strong guidance and application value. |
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