4.3 Article

Optimization of zigzag flow channels of a printed circuit heat exchanger for nuclear power plant application

期刊

JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY
卷 49, 期 3, 页码 343-351

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/00223131.2012.660012

关键词

printed circuit heat exchanger; design optimization; multi-objective genetic algorithm; Reynolds-averaged Navier-Stokes analysis; shear stress transport model

资金

  1. National Research Foundation of Korea (NRF) [20090083510]
  2. Korean government (MEST) through Multi-phenomena CFD Engineering Research Center
  3. National Research Foundation of Korea [2009-0093128] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

Printed circuit heat exchanger (PCHE) is recently considered as a recuperator for the high-temperature gas cooled reactor. In this study, shape optimization of zigzag flow channels in a PCHE has been performed to enhance heat transfer performance and reduce the friction loss based on three-dimensional Reynolds-averaged Navier-Stokes analysis with the Shear Stress Transport Turbulence model. A multiobjective genetic algorithm is used for the multi-objective optimization. Two non-dimensional objective functions related to heat transfer performance and friction loss are employed. The shape of a flow channel is defined by two geometric design variables, viz. the cold channel angle and the ellipse aspect ratio of the cold channel. The experimental points within the design space are selected using Latin hypercube sampling as the design of the experiment. The response surface approximation model is used to approximate the Pareto-optimal front. Five optimal designs on the Pareto-optimal front have been selected using k-means clustering. The flow and heat transfer characteristics, as well as the objective function values, of these designs have been compared with those of the reference design.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据