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과도유동 해석을 위한 CNN에서의 이미지 변환방법 Image Conversion Methods in CNN for Transient Flow Analysis

박진현, 이태환
  • 언어KOR
  • URLhttp://db.koreascholar.com/Article/Detail/398663
한국기계기술학회지 (韓國機械技術學會誌)
제22권 제4호 (2020.08)
pp.712-719
한국기계기술학회 (Korean Society of Mechanical Technology)
초록

To apply CNN to a fluid problem, we need a method to effectively convert the physical quantities of fluid into an image. The performance of CNN was evaluated using the image transformation method using the minimum and maximum values of the pressure distribution data and the image transformation methods using the normal distribution of the pressure distribution data. Through the performance evaluation of the learned CNN, the image transformation methods of Method 4 and Method 5, which applied the normal distribution of representative pressure distribution data, were very effective. In particular, Method 5 includes the initial and final pressure distribution data to include overall pressure distribution data, thereby improving the resolution of the color map to improve classification performance.

저자
  • 박진현(경남과학기술대학교) | Park Jin-Hyun
  • 이태환(경남과학기술대학교) | LEE TAE HWAN 교신