基于CFD技术和反方法的强化传热表面开发研究

项目名称： 基于CFD技术和反方法的强化传热表面开发研究

项目编号： No.51276173

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 能源与动力工程

项目作者： 周俊杰

作者单位： 郑州大学

项目金额： 80万元

中文摘要： 随着国家节能减排政策的实施和换热器紧凑高效要求的提高，制冷和汽车等工业领域对强化换热表面研究越来越重要。本项目针对目前强化换热表面的开发存在几何结构复杂、换热性能差和泵功消耗大、开发周期长和拟合关联式适用范围窄等问题，创新性地采用有限容积法技术和反方法对新型强化表面进行优化分析，研究强化换热表面流道内速度场、压力场和温度场等多物理场的耦合规律，分析优化速度 场与压力场的配合关系，以及速度场与温度场的协同关系，从换热与减阻两方面分析节能机理，优化翅片间距、开缝长度等几何参数对换热与阻力性能的影响规律，并优化出最佳的强化换热表面，利用人工神经网络方法对大量的计算数据进行分析优化，建立一个有效的几何参数与工况运行物理参数和热力性能的函数关系，形成一套切实可行的产品开发方法。

中文关键词： 强化传热翅片；数值模拟；分形；反方法；神经网络

英文摘要： With the implementation of national energy conservation policy and the increasing demand of compact and efficient heat exchangers ， studies on enhanced heat transfer surface for refrigeration and automobile industries are increasingly important .The project for the development of enhanced heat transfer surface complex geometric structure, poor heat transfer performance and pump power consumption, long development cycle and the fitting formula with narrow scope of application and other issues, optimization and analysis are conducted on new enhanced surface by innovatively using inverse method and the finite volume method,and research multi-physics coupling laws for flow velocity, pressure and temperature field of the heat transfer surface, and analysis optimization the relationship between the velocity field and pressure field, as well as the velocity and temperature field synergy relations, analysis of energy-saving mechanism of heat transfer and drag reduction, and optimize the fin pitch, open seam length and geometric parameters such as the influence of heat transfer and pressure drop performance, and optimize the best heat transfer enhancement surface, using artificial neural networks methods of analysis and optimization of a large number of calculations to establish the function include an effective geom

英文关键词： enhance heat transfer fin；numerical simulation；fractal；inverse method；neural net