A study of changes in temperature profile of porous fin model using cuckoo search algorithm

For analysis of physical properties of different materials, rectangular porous fins are used to examine the heat transformation through a system. In this paper, a metaheuristic is combined with neural computing modelling to study the effects of temperature changes in a porous fin model. Cuckoo searc...

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Vydáno v:Alexandria engineering journal Ročník 59; číslo 1; s. 11 - 24
Hlavní autoři: Waseem, Waseem, Sulaiman, Muhammad, Islam, Saeed, Kumam, Poom, Nawaz, Rashid, Raja, Muhammad Asif Zahoor, Farooq, Muhammad, Shoaib, Muhammad
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.02.2020
Elsevier
Témata:
Artificial intelligence
Cuckoo search algorithm
Differential equations
Heat distribution
Metaheuristics
Optimization problems
Porous fin
Porous fin
Metaheuristics
Differential equations
Heat distribution
Cuckoo search algorithm
Artificial intelligence
Optimization problems
ISSN:1110-0168
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Shrnutí:For analysis of physical properties of different materials, rectangular porous fins are used to examine the heat transformation through a system. In this paper, a metaheuristic is combined with neural computing modelling to study the effects of temperature changes in a porous fin model. Cuckoo search algorithm is used as an efficient optimization technique to find the best weights to reduce the mean squared error in the required temperature profile. The governing partial differential equation is converted into a non-linear ordinary differential equation subject to certain boundary conditions. Two individual cases, of silicon nitride (Si3N4) and Aluminium (Al), are considered. In the proposed procedure, the Cuckoo Search(CS) algorithm is combined with the artificial neural network (ANN), namely CS-ANN, to solve the differential equations and obtain solutions with better accuracy.
ISSN:1110-0168
DOI:10.1016/j.aej.2019.12.001