A predictive model based on a 3-D computational approach for film cooling effectiveness over a flat plate using GMDH-type neural networks

被引：12

作者：

Naghashnejad, M. ^{[1
]}

Amanifard, N. ^{[1
]}

Deylami, H. M. ^{[1
]}

机构：

[1] Univ Guilan, Dept Mech Engn, Fac Engn, Rasht 3756, Iran

来源：

HEAT AND MASS TRANSFER | 2014年 / 50卷 / 01期

关键词：

HEAT-TRANSFER; PART I; HOLE; FLOW;

D O I：

10.1007/s00231-013-1239-3

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

A 3-D numerical solution is implemented for investigating incompressible turbulent flow and thermal fields of film cooling through a single row of inclined cylindrical holes over a flat plate model. The effects of parameters of interest on the film cooling performance have been simulated. The group method of data handling (GMDH)-type neural networks successfully employed for modeling and presenting a correlation for area-weighted average adiabatic film cooling effectiveness.

引用

页码：139 / 149

页数：11

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