- 신경회로망기법을 사용한 타원형 딤플유로의 냉각성능 최적화
- ㆍ 저자명
- 김현민,문미애,김광용,Kim. Hyun-Min,Moon. Mi-Ae,Kim. Kwang-Yong
- ㆍ 간행물명
- 유체기계저널
- ㆍ 권/호정보
- 2010년|13권 6호|pp.42-50 (9 pages)
- ㆍ 발행정보
- 유체기계공업학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
The present analysis deals with a numerical procedure for optimizing the shape of elliptical dimples in a cooling channel. The three-dimensional Reynolds-averaged Navier-Stokes (RANS) analysis is employed in conjunction with the SST model for predictions of the turbulent flow and the heat transfer. Three non-dimensional geometric design variables, such as the ellipse dimple diameter ratio, ratio of the dimple depth to the average diameter, and ratio of the distance between dimples to the pitch are considered in the optimization. Twenty-one experimental points within design space are selected by Latin Hypercube Sampling. Each objective function values at these points are evaluated by RANS analysis and producing optimal point using surrogate model. The linear combination of heat transfer coefficient and friction loss related terms with a weighting factor is defined as the objective function. The results show that the optimized elliptical dimple shape improves considerably the heat transfer performance than the circular dimple shape.