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 |
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| Hlavní autoři: | , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier B.V
01.02.2020
Elsevier |
| Témata: | |
| ISSN: | 1110-0168 |
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| Abstract | 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. |
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| AbstractList | 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. 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. Keywords: Heat distribution, Porous fin, Artificial intelligence, Metaheuristics, Cuckoo search algorithm, Differential equations, Optimization problems |
| Author | Nawaz, Rashid Raja, Muhammad Asif Zahoor Shoaib, Muhammad Sulaiman, Muhammad Farooq, Muhammad Waseem, Waseem Kumam, Poom Islam, Saeed |
| Author_xml | – sequence: 1 givenname: Waseem surname: Waseem fullname: Waseem, Waseem organization: Department of Mathematics, Abdul Wali Khan University Mardan, KP, Pakistan – sequence: 2 givenname: Muhammad surname: Sulaiman fullname: Sulaiman, Muhammad email: sulaiman513@gmail.com organization: Department of Mathematics, Abdul Wali Khan University Mardan, KP, Pakistan – sequence: 3 givenname: Saeed surname: Islam fullname: Islam, Saeed email: saeedislam@awkum.edu.pk organization: Department of Mathematics, Abdul Wali Khan University Mardan, KP, Pakistan – sequence: 4 givenname: Poom surname: Kumam fullname: Kumam, Poom email: poom.kum@kmutt.ac.th organization: Department of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), 126 Pracha-Uthit Road, Bang Mod, Thrung Khru, Bangkok 10140, Thailand – sequence: 5 givenname: Rashid surname: Nawaz fullname: Nawaz, Rashid email: rashidnawaz@awkum.edu.pk organization: Department of Mathematics, Abdul Wali Khan University Mardan, KP, Pakistan – sequence: 6 givenname: Muhammad Asif Zahoor surname: Raja fullname: Raja, Muhammad Asif Zahoor email: Muhammad.asif@ciit-attock.edu.pk organization: Department of Electrical Engineering, COMSATS University Islamabad, Attock Campus, Attock, Pakistan – sequence: 7 givenname: Muhammad surname: Farooq fullname: Farooq, Muhammad email: muhammadfarooq@awkum.edu.pk organization: Department of Mathematics, Abdul Wali Khan University Mardan, KP, Pakistan – sequence: 8 givenname: Muhammad surname: Shoaib fullname: Shoaib, Muhammad email: dr.shoaib@cuiatk.edu.pk organization: Department of Mathematics, COMSATS University Islamabad, Attock Campus, Attock, Pakistan |
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| Keywords | Porous fin Metaheuristics Differential equations Heat distribution Cuckoo search algorithm Artificial intelligence Optimization problems |
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