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Fractional Modeling of Fin on non-Fourier Heat Conduction via Modern Fractional Differential Operators
被引:30
作者:
Abro, Kashif Ali
[1
]
Gomez-Aguilar, Jose Francisco
[2
]
机构:
[1] Mehran Univ Engn & Technol, Dept Basic Sci & Related Studies, Jamshoro, Pakistan
[2] CONACyT Tecnol Nacl Mexico, CENIDET, Dept Ingn Elect, Interior Internado Palmira S-N, Cuernavaca 62490, Morelos, Mexico
关键词:
Non-Fourier heat conduction on fin;
Mittag-Leffler verses exponential kernels;
Analytical investigation of hyperbolic heat conduction equation;
Comparative analysis of results;
D O I:
10.1007/s13369-020-05243-6
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
The enhancement of heat transfer for electronic kits and automobiles has become highly dependent on the finned heat exchangers; this is because fin provides high heat transfer rate and superior performance with a significant temperature reduction. In this manuscript, a fractional modeling of non-Fourier heat conduction problem of a fin is proposed within the periodic temperature boundary condition. The mathematical modeling is performed via classical theory of heat conduction that is directly proportional to temperature gradient through which hyperbolic heat conduction equation for a fin is generated. The hyperbolic heat conduction equation for a fin is fractionalized via modern approaches of fractional differentiations, namely Atangana-Baleanu and Caputo-Fabrizio differential operators. In order to have analyticity of hyperbolic heat conduction equation for a fin, we invoked the mathematical techniques of Laplace transform. The exact solutions of temperature distribution have been obtained in terms of Fox-H and Mittag-Leffler functions with the product of convolution. The solutions of temperature distribution have been classified into integer verses non-integer theories by making fractional parameters alpha=beta=1 and alpha not equal beta not equal 1, respectively. Our results suggest that due to variability of different rheological parameters on temperature distribution, the cooling process is faster via fractional models in comparison to non-fractional model. Additionally, it is also observed that thermal wave propagates at a specific time results the reciprocal trend in temperature distribution.
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页码:2901 / 2910
页数:10
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