2017
DOI: 10.17512/jamcm.2017.3.04
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Implicit scheme of the finite difference method for 1D dual-phase lag equation

Abstract: Abstract. The 1D dual-phase lag equation (DPLE) is solved using the implicit FDM scheme. The dual phase lag equation is the hyperbolic PDE and contains a second order time derivative and higher order mixed derivative in both time and space. The DPLE results from the generalization of the well known Fourier law in which the delay times are taken into account. So, in the equation discussed, two positive parameters appear. They correspond to the relaxation time τ q and the thermalization time τ T . The DPLE finds… Show more

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Cited by 11 publications
(12 citation statements)
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“…laser cancer therapy). This criterion is also fulfilled at the node N 0 for the assumed width of the parameter intervals -for calculation with µ ′ s nat [15,17] s, for calculation with µ ′ s den [19,25] s. These width of intervals are a still reasonable outcome.…”
Section: Discussionmentioning
confidence: 94%
See 1 more Smart Citation
“…laser cancer therapy). This criterion is also fulfilled at the node N 0 for the assumed width of the parameter intervals -for calculation with µ ′ s nat [15,17] s, for calculation with µ ′ s den [19,25] s. These width of intervals are a still reasonable outcome.…”
Section: Discussionmentioning
confidence: 94%
“…Next, the temperature distribution must be calculated by making use of the bioheat transfer equation. The Pennes equation is the earliest one known but is probably still the most popular and widely used (Abraham and Sparrow, 2007;Majchrzak and Mochnacki, 2017;Paruch, 2014). The newest achievements in this field are based on the porous media theory (GDPL equation, generalized dual-phase lag equation) which takes into account the heterogeneous structure of biological tissue (Jasiński et al, 2016;Majchrzak and Mochnacki, 2017;Majchrzak et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…The considerations concerning the formulation of the condition discussed are presented in [2] and [3]. The implicit scheme of the FDM was also the topic of our research work, here the papers [4,5] should be mentioned.…”
Section: Microscale Heat Transfer 1d and 2d Problemsmentioning
confidence: 99%
“…Temperature field during material melting and solidification is affected by the latent heat of fusion. Macro models describing solidification process for both pure metals [20][21][22][23] and alloys [24][25][26][27][28] can be found in the literature. Mostly, one domain approach is used with fuzzy solidification front in the model where latent heat is included into effective heat capacity.…”
Section: Thermal Phenomenamentioning
confidence: 99%
“…In this study latent heat of fusion [26,28], evaporation [5,8,12] and latent heat of phase transformations in solid state [29][30][31] are considered in the capacity model. Effective heat capacity is defined assuming linear approximation of solid fraction in the mushy zone and liquid fraction in liquid-gas region as well as the increase of a volumetric fraction of i-th phase in the solid state: The product of density and specific heat in the mushy zone is calculated with assumption of linear approximation of solid fraction:…”
Section: Thermal Phenomenamentioning
confidence: 99%