2017
DOI: 10.1016/j.physleta.2017.09.020
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Bifurcations and chaos in convection taking non-Fourier heat-flux

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Cited by 22 publications
(15 citation statements)
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“…Thermal relaxation time can be interpreted physically as the time needed for accumulating the thermal energy essential for generating heat flux [6] [7]. The inclusion of the thermal inertial in heat prorogation has effects in the heat transport in nano-material, nanofluids and many areas of ballistics and astrophysics [8] [9] [10].…”
Section: Introductionmentioning
confidence: 99%
“…Thermal relaxation time can be interpreted physically as the time needed for accumulating the thermal energy essential for generating heat flux [6] [7]. The inclusion of the thermal inertial in heat prorogation has effects in the heat transport in nano-material, nanofluids and many areas of ballistics and astrophysics [8] [9] [10].…”
Section: Introductionmentioning
confidence: 99%
“…To know about the physical meaning of variables and parameters, we suggest consulting Layek and Pati [1] where system (1) was derived and first investigated. In addition to obtaining the five-dimensional nonlinear system (1), Layek and Pati [1] report on analytical results related with equilibrium points, linear stability analysis, and bifurcations.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, Layek and Pati reported on the influences of thermal time-lag on the onset of convection, and obtained a five-dimensional nonlinear system from a loworder Galerkin expansion of velocity and temperature variables [6]:…”
mentioning
confidence: 99%
“…Here σ is the Prandtl number, r is the normalized Rayleigh number, b = 4π 2 /Λ is the geometrical parameter, δ = 1/(2ΛC) and C is the Cattaneo number. Layek and Pati include some numerical results including bifurcation transition diagrams, plots of the largest Lyapunov exponents, phase-space portraits, and routes to chaos via period-doubling bifurcations for r > 10 [6]. In 2019, Daumann and Rech used Lyapunov exponents spectra to characterize the dynamical behavior of system (1), and found numerically the existence of chaos in different parameter regions [2] (see the attractors in the phasespace of system (1) in Fig.…”
mentioning
confidence: 99%
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