| Literature DB >> 30443104 |
S Bilal1, M Y Malik1, M Awais1, Arif Hussain1, I Khan1.
Abstract
Two-dimensional flow of Casson fluid toward an exponentially stretched surface in view of Cattaneo-Christove flux theory is discoursed in current communication. Flow pattern within boundary layer under the effectiveness of magnetic field is also contemplated in the communication. Non-dimensionalized governing expressions are attained through transformation procedure. To anticipate the fascinating features of present work, solution of resulted nonlinear differential system is computed with the collaborated help of shooting scheme and Runge-Kutta method. The influence of involved variables on velocity and temperature fields is scrutinized. Contribution of thermal relaxation is explicitly pointed out. Evaluation of convective heat transfer and friction factor in the fluid flow is visualized through graphs and tables. Additionally, the assurance of present work is affirmed by developing comparison with previous findings in the literature which sets a trade mark for the implementation of numerical approach. It is inferred from the thorough examination of the analysis that present formulation reduces to classical Fourier's problem by considering Λ = 0 . Furthermore, decreasing pattern in temperature distribution is depicted in the presence of Cattaneo-Christove flux law as compared to heat transfer due to the Fourier's law.Entities:
Keywords: Casson fluid model; Cattaneo–Christove heat flux model; Exponentially stretching sheet; Shooting method
Year: 2017 PMID: 30443104 PMCID: PMC6209019 DOI: 10.1007/s00521-016-2832-4
Source DB: PubMed Journal: Neural Comput Appl ISSN: 0941-0643 Impact factor: 5.606
Fig. 1Physical interpretation of geometry
Fig. 2Schematic diagram of shooting method
Fig. 3Effects of A and on
Numerical variation of , A and Pr on
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|---|---|---|---|
| 2 | 0.94411 | ||
| 0.5 | 0.5 | 3 | 1.28730 |
| 4 | 1.61625 | ||
| 0.2 | 0.94411 | ||
| 0.5 | 0.4 | 2 | 1.11950 |
| 0.6 | 1.2939 | ||
| 0.2 | 1.07150 | ||
| 0.4 | 0.5 | 0.2 | 1.16140 |
| 0.6 | 1.2540 |
Numerical variation of M and on
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|
|---|---|---|
| 1 | 0.9451 | |
| 2 | 0.5 | 1.1044 |
| 3 | 1.2464 | |
| 0.5 | 0.9451 | |
| 1 | 1 | 1.1523 |
| 2 | 1.3303 |
Comparison of Nusselt number with variation in Pr
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| Magyari and Keller [ | Bidin [ | El-Aziz [ | Ishak et al. [ | Pramanik [ | Present results |
|---|---|---|---|---|---|---|
| 1 | 0.9458 | 0.9547 | 0.9458 | 0.9458 | 0.9547 | 0.9531 |
| 2 | – | 1.4147 | – | 1.4715 | 1.4714 | 1.4624 |
| 3 | 1.8961 | 1.8961 | 1.8961 | 1.8961 | 1.8961 | 1.8959 |
| 4 | 2.5001 | – | 2.5001 | 2.5001 | 2.5001 | 2.5001 |
Fig. 4Effects of and M on
Fig. 5Effects of Pr and on
Fig. 6Effects of Pr and on