Application Of Artificial Neural Network For Heat Transfer In Porous Cone

被引：25
|
作者：
Athani, Abdulgaphur [1 ,3 ]
Ahamad, N. Ameer [2 ]
Badruddin, Irfan Anjum [3 ]
机构：
[1] Anjuman Inst Technol & Management, Dept Mech Engn, Bhatkal, India
[2] Univ Tabuk, Fac Sci, Dept Math, POB 741, Tabuk 71491, Saudi Arabia
[3] Univ Malaya, Dept Mech Engn, Kuala Lumpur 50603, Malaysia
来源：
2ND INTERNATIONAL CONFERENCE ON CONDENSED MATTER AND APPLIED PHYSICS (ICC-2017) | 2018年 / 1953卷
关键词：
Porous medium; Cone; ANN; NATURAL-CONVECTION; VISCOUS DISSIPATION; MASS-TRANSFER; RADIATION; ANNULUS; CAVITY;
D O I：
10.1063/1.5033191
中图分类号：
O59 [应用物理学];
学科分类号：
摘要：
Heat transfer in porous medium is one of the classical areas of research that has been active for many decades. The heat transfer in porous medium is generally studied by using numerical methods such as finite element method; finite difference method etc. that solves coupled partial differential equations by converting them into simpler forms. The current work utilizes an alternate method known as artificial neural network that mimics the learning characteristics of neurons. The heat transfer in porous medium fixed in a cone is predicted using backpropagation neural network. The artificial neural network is able to predict this behavior quite accurately.
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页数：4
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