2018
DOI: 10.1016/j.ijthermalsci.2018.06.007
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A modified fractional order generalized bio-thermoelastic theory with temperature-dependent thermal material properties

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Cited by 57 publications
(8 citation statements)
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“…Abbas [27] studied an infinite medium with a spherical cavity and subjected to a thermal shock by using the fractional-order generalized thermoelasticity. Li et al [28] used a modified fractional-order theory to solve a generalized bio-thermoelastic problem with temperature-dependent thermal properties. Peng and He [29] introduced the diffusion theory into the generalized fractional thermoelastic theory and studied a thermoelastic diffusion problem for an infinite body with a spherical cavity.…”
Section: Introductionmentioning
confidence: 99%
“…Abbas [27] studied an infinite medium with a spherical cavity and subjected to a thermal shock by using the fractional-order generalized thermoelasticity. Li et al [28] used a modified fractional-order theory to solve a generalized bio-thermoelastic problem with temperature-dependent thermal properties. Peng and He [29] introduced the diffusion theory into the generalized fractional thermoelastic theory and studied a thermoelastic diffusion problem for an infinite body with a spherical cavity.…”
Section: Introductionmentioning
confidence: 99%
“…In the past decade, many models in viscoelasticity, bioengineering, and heat conduction [32][33][34] have been effectively revised using fractional order calculus. As a result, fractional order should be incorporated into generalized thermoelastic diffusion theory [35].…”
Section: Introductionmentioning
confidence: 99%
“…Fluid flow increased as the porosity parameter was raised. By introducing a one‐layer skin texture parameter with variable thermal properties for numerical evaluation after accurate accuracy of a modified thermoelastic model, Li et al 18 created a generalized thermoelastic theory of modified fraction with variable thermal material properties for anisotropic skin texture. Akram et al 19 used Riccati generalized image equations to investigate two states of the Klein–Fok–Gordon equation that had a significant impact on hereditary memory maintenance.…”
Section: Introductionmentioning
confidence: 99%