과도유동 해석을 위한 CNN에서의 이미지 변환방법

Image Conversion Methods in CNN for Transient Flow Analysis

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.

키워드

CNN; Thermal fluid problem; Image conversion; Pressure distribution; 볼루션 신경망; 열유체문제; 이미지 변환; 압력분포
제목
과도유동 해석을 위한 CNN에서의 이미지 변환방법
제목 (타언어)
Image Conversion Methods in CNN for Transient Flow Analysis
저자
박진현; 이태환
DOI
10.17958/ksmt.22.4.202008.712
발행일
2020
저널명
한국기계기술학회지
권
22
호
4
페이지
712 ~ 719