A Study on the Applicability of the Reduced Order Model to Predict the Temperature Distribution in the Lunar Orbiter

Byungkwan Jang; Jang-Joon Lee; Woojin Lee; Hyungyu Jin

doi:10.3795/KSME-B.2023.47.2.125

A Study on the Applicability of the Reduced Order Model to Predict the Temperature Distribution in the Lunar Orbiter

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달 궤도선의 온도 분포 예측을 위한 차수축소모델 적용 가능성 연구

Type: Academic journal

Author: Byungkwan Jang (한국항공우주연구원) Jang-Joon Lee (한국항공우주연구원) Woojin Lee (포항공과대학교) Hyungyu Jin (포항공과대학교)

Journal: The Korean Society of Mechanical Engineers Transactions of the Korean Society of Mechanical Engineers - B Vol.47 No.2(Wn.449) KCI Accredited Journals SCOPUS

Published: 2023.2

Pages: 125 - 137 (13page)

DOI: 10.3795/KSME-B.2023.47.2.125

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A Study on the Applicability of the Reduced Order Model to Predict the Temperature Distribution in the Lunar Orbiter

Research history (3)

2023

Reduced Order Model based on Convolutional Autoencoder to Predict Temperature of a Lunar Orbiter under Cold Thermal Balance Test

Byungkwan Jang , Woojin Lee , Hyungyu Jin 대한기계학회 춘추학술대회 2023.04 Proceeding

A Study on the Applicability of the Reduced Order Model to Predict the Temperature Distribution in the Lunar Orbiter

Byungkwan Jang , Jang-Joon Lee , Woojin Lee and others 1 Transactions of the Korean Society of Mechanical Engineers - B 2023.02 Academic journal

2022

A Study on the Applicability of the Reduced Order Model in the Thermal Analysis of the Lunar Orbiter

Byungkwan Jang , Woojin Lee , Hyungyu Jin 대한기계학회 춘추학술대회 2022.04 Proceeding

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Spacecraft thermal design is a time-consuming study owing to various design parameters and complicated thermal environments. Therefore, efficient design variable optimization and quick and accurate prediction of the temperature distribution are required in the thermal design process. In this study, we focus on the thermal design of the Korean lunar orbiter, Danuri, that was launched on August 5, 2022. Thermal analysis of lunar orbiters is generally more complicated than that of Earth orbit satellites. This is because it calculates three-dimensional radiant heat transfer in real moon orbit. To solve this problem, we considered the application of the reduced order model. The temperature field was quickly predicted by employing principal component analysis (PCA) and Kriging-regression model in the simplified thermal model. The prediction and thermal analysis results were compared, and the prediction results showed high accuracy. In the future, we will apply more design parameters to a full thermal model and build a thermal design system that predicts the temperature field using artificial neural networks.

#Lunar Orbiter(달 궤도선) #Thermal Analysis(열 해석) #Reduced Order Model(차수축소모델) #Principal Component Analysis(주성분 분석) #Regression Model(회귀 분석 모델)

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1. 서론
2. 주성분 분석 및 회귀 모델
3. 열 해석 모델 및 데이터 셋업
4. 결과
5. 결론
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Jang, B. K., Lee, J. J. and Hyun, B. S., 2018, “On-Orbit Thermal Analysis for Verification of Thermal Design of Korea Pathfinder Lunar Orbiter,” Journal of the Korean Society for Aeronautical and Space Sciences, Vol. 46, No. 12, pp. 1028~1036.

Jang, B. K., Lee, J. J., Kim, S. H. and Won, S. H., 2020, “Radiant Heater Design for Pressure Control Assembly of Propulsion System in Korea Pathfinder Lunar Orbiter Using Thermal Analysis,” Trans. Korean Soc. Mech. Eng. B, Vol. 44, No. 6, pp. 407~414.

Bernardini, E., Spence, S. M. J., Wei, D. and Kareem, A., 2015, “Aerodynamic Shape Optimization of Civil Structures: A CFD-Enabled Kriging-based Approach,” Journal of Wind Engineering and Industrial Aerodynamics, Vol. 144, pp. 154~164.

Lim, J., Jang Y. S., Chang, H. S., Park. J. C. and Lee, J., 2018, “Influence Factor Analysis and Reliability based Design Optimization of a Cab Suspension Using Principal Component Analysis,” Trans. Korean Soc. Mech. Eng. A, Vol. 42, No. 1, pp. 57~64.

Agostini, L., 2020, “Exploration and Prediction of Fluid Dynamical Systems Using Auto-Encoder Technology,” Physics of Fluids, Vol. 32, Article 067103.

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