Adaptive neuro-fuzzy inference system (ANFIS) to predict the forced convection heat transfer from a v-shaped plate

被引：13

作者：

Karami, Alimohammad ^{[1
]}

Yousefi, Tooraj ^{[2
]}

Ebrahimi, Saeid ^{[2
]}

Rezaei, Ehsan ^{[1
]}

Mahmoudinezhad, Sajjad ^{[3
]}

机构：

[1] Islamic Azad Univ, Dept Mech Engn, Kermanshah Branch, Kermanshah, Iran

[2] Razi Univ, Dept Mech Engn, Kermanshah, Iran

[3] Islamic Azad Univ, Dept Mech Engn, Gachsaran Branch, Gachsaran, Iran

来源：

HEAT AND MASS TRANSFER | 2013年 / 49卷 / 06期

关键词：

JET IMPINGEMENT; NOZZLE-GEOMETRY; AIR JETS; GAS; CURVATURE; SURFACES; INSERTS; FLOW;

D O I：

10.1007/s00231-013-1125-z

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

This paper reports the application of the adaptive neuro-fuzzy inference system to model the forced convection heat transfer from v-shaped plate internal surfaces exposed to an air impingement slot jet. The aim of the current study is to consider the effects of the angle of the v-shaped plate , slot-to-plate spacing ratio (Z/W) and the Reynolds number (Re) variation on the average heat transfer from the v-shaped plate.

引用

页码：789 / 798

页数：10

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