Proper Orthogonal Decomposition을 활용한 극저온 수직 평판의 열전달 예측

다국어 초록 (Multilingual Abstract)

In this research, heat transfer prediction of cryogenic vertical flat plate subject to frosting was conducted using Proper Orthogonal Decomposition (POD). Experiments were conducted using a heat flux sensor from varying the air temperature, air humidity, air velocity, and wall temperature. With POD, one of the popular Reduced Order Modeling (ROM) techniques, dominant behaviors of the heat flux variation were extracted to generate a predictive model together with Polynomial Regression (PR). To compare with the previous work of the correlation equation built from the common heat transfer characteristics, two performance metrics were calculated: Mean Absolute Error (MAE) and the relative error of the total heat transfer prediction. As a result, the predictive model built using POD showed better prediction performance compared to the correlation equations, showing great potential in predicting time-series outputs of the heat transfer of cryogenic vertical flat plate under forced convection.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 열전달 실험 및 데이터 수집
• 3. 알고리즘 설명
• 4. 성능 평가
• 5. 결론
• 참고문헌