基于响应面与搜索算法的颗粒物强化传热分析方法  

Analysis method of heat transfer enhancement with particulates based on RSM and direct search algorithm

作　　者：何磊[1] 雷波[1] 毕海权[1] 李立山[1] 

机构地区：[1]西南交通大学机械工程学院,四川成都610031

出　　处：《热科学与技术》2014年第4期334-338,共5页Journal of Thermal Science and Technology

摘　　要：基于管内强化传热概念,采用中心组合实验设计方法和多孔介质模型,对管内填充颗粒物强化换热器传热进行模拟计算。应用响应面方法建立了管内颗粒物粒径、孔隙率及管内流速与传热量之间的回归模型,并采用搜索算法对该模型进行优化求解,得到了该模型的最佳填充物参数。结果表明,管内颗粒物强化传热的响应面模型能准确预测颗粒物及入口流速对传热能力的影响。该方法用于颗粒物强化传热研究,能够减少工作量,快速确定填充物最佳结构参数。Based on the concept of enhanced heat transfer inside pipes, the approach of central composite design （CCD）and porous media model were employed to conduct simulations of particulate enhanced heat transfer inside pipes.The regress model of particulate diameter,porosity,internal velocity and heat transfer was built based on the response surface method （RSM）and solved using a direct search algorithm.The results show that the RSM model can accurately and efficiently forecast the effects of the particulate parameters and the inlet velocity on the heat transfer capability,and quickly determines the particulate structural parameters.

关 键 词：强化传热 响应面法模型 多孔介质 搜索算法 

分 类 号：TQ051[化学工程]