Computers, Materials & Continua
DOI:10.32604/cmc.2021.012583
images

Article

Model of Fractional Heat Conduction in a Thermoelastic Thin Slim Strip under Thermal Shock and Temperature-Dependent Thermal Conductivity

F. S. Bayones1, S. M. Abo-Dahab2,*, Ahmed E. Abouelregal3, A. Al-Mullise1, S. Abdel-Khalek1,4 and E. M. Khalil1,5

1Department of Mathematics and Statistics, College of Science, Taif University, Taif, 21944, Saudi Arabia
2Department of Mathematics, Faculty of Science, South Valley University, Qena, 83523, Egypt
3Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, Egypt
4Department of Mathematics, Faculty of Science, Sohag University, Sohag, Egypt
5Department of Mathematics, Faculty of Science, Al-Azhar University, Giza, Egypt
*Corresponding Author: S. M. Abo-Dahab. Email: sdahb@yahoo.com
Received: 05 July 2020; Accepted: 28 August 2020

Abstract: The present paper paper, we estimate the theory of thermoelasticity a thin slim strip under the variable thermal conductivity in the fractional-order form is solved. Thermal stress theory considering the equation of heat conduction based on the time-fractional derivative of Caputo of order images is applied to obtain a solution. We assumed that the strip surface is to be free from traction and impacted by a thermal shock. The transform of Laplace (LT) and numerical inversion techniques of Laplace were considered for solving the governing basic equations. The inverse of the LT was applied in a numerical manner considering the Fourier expansion technique. The numerical results for the physical variables were calculated numerically and displayed via graphs. The parameter of fractional order effect and variation of thermal conductivity on the displacement, stress, and temperature were investigated and compared with the results of previous studies. The results indicated the strong effect of the external parameters, especially the time-fractional derivative parameter on a thermoelastic thin slim strip phenomenon.

Keywords: Non-Fourier heat conduction; thermoelasticity; fractional derivative; variable thermal conductivity

1  Introduction

Recently, more attention has been given to the uncoupled classical thermoelastic theory, which predicts that two phenomena have a confliction and do not agree with the physical laboratory results. While the heat conduction equation is the first phenomenon without any elastic terms, the second is the prediction of infinite propagation speed for heatwaves due to the thermal signals in the equation of heat in a parabolic type. Biot [1] is the prior who presented the coupled thermoelasticity theory between the motion equation and equation of heat to overcome and release the confliction of the first shortcoming. However, the equation of heat for the theory of coupled thermoelasticity in a parabolic form. Thus, both theories have shared and addressed the second shortcoming.

During the last five decades, more different theories developed the thermoelasticity theory to the generalized theory of thermoelasticity. Lord et al. [2] who is the first introduced the theory by the heat conduction equation based on the modified law of Fourier’s considering one relaxation time that transforms the equation of heat conduction in a parabolic form to hyperbolic form the equation of heat conduction. Green et al. (GL) [3] who modified the equation of energy and the relation of Duhamel-Neumann, taking into account two thermal relaxation times. The third was by Green et al. (GN) [4] who introduced a generalized theory of thermoelasticity. They included the ‘displacement gradient-thermal’ within the constitutive variables independence but without dissipation accommodate of the thermal energy.

The material characteristics at high temperatures, such as Poisson’s ratio, the elasticity modulus, the coefficient of thermal expansion, and the thermal conductivity are not constants any more [5]. Recently and because of scientific and technological development, the need to understand the actual actions of the material features has become actual [6]. Budaev et al. [7] discussed the dependence temperature of shear elasticity for some liquids which indicated that the increase of temperature depends on the decrease of shear modulus and is explainable by increasing the fluctuation free volume. Rishin et al. [8] employed the method of dynamic resonance to define the dependence temperature of the elasticity modulus of some materials that have plasma-sprayed. The increasing results of test temperature in a monotonic decrease in elasticity modulus. Honig et al. [9] discussed a method for the numerical inversion of the Laplace transform.

The equations of fractional derivatives and fractional differential were applied to obtain solutions to some problems in viscoelasticity, fluid mechanics, physics, engineering, biology, signal processing, mechanical engineering, systems identification, control theory, electrical engineering, finance, and fractional dynamics [10]. It describes anomalous diffusion (subdiffusion, superdiffusion, diffusion of non-Gaussian) that does not conform to the classical law of Fick in [11,12]. Numerically, the experiments show that in various one-dimensional systems that have total momentum conservation, the thermal conduction does not form in the Fourier law. Moreover, the thermal conductivity matches the size of the system in [13].

Podlubny [14] introduced an important overview of different fractional calculus applications in science, engineering, and technology. Ross [15] and Miller et al. [16] introduced a historical brief of the progress of fractional order calculus. Youssef et al. [17] discussed and made a new model for generalized thermoelasticity theory in fractional order. Sherief et al. [18] presented a fractional calculus-based thermoelasticity theory. Povstenko [19] studied axisymmetric stresses from pulses instantaneous and diffusion sources in an infinite space in a diffusion of time-fractional equation in a two-dimensional. Povstenko [20] applied Caputo time-fractional derivative technique on the thermal stresses theory based on the equation of thermal conduction to explore thermal stresses in a circular cylindrical hole an infinite body. Allam et al. [21] examined the interactions between the electromagneto-thermoelastic in a body with a spherical cavity an infinite perfectly conducting considering the GN model. The elasticity modulus is considered a linear function of temperature. Abouelregal [22] investigated the generalized thermo-piezoelectric semi-infinite under the assumption of the fractional-order with temperature-dependent and ramp-type heating. Structural continuous dependence in micropolar porous bodies is discussed in [23]. Study of heat and mass transfer in the Eyring–Powell model of peristaltically fluid propagating through a rectangular compliant channel has been discussed by Riaz et al. [24]. Some new related works have been discussed in [25–28].

In this work, we studied the thermoelasticity theory of a thin slim strip under the variable thermal conductivity in the fractional-order form is solved. Thermal stress theory considering the equation of heat conduction based on the time-fractional derivative of Caputo of order images is applied to obtain a solution. We assumed that the strip surface is to be free from traction and impacted by a thermal shock. The transform of Laplace (LT) and numerical inversion techniques of Laplace were considered for solving the governing basic equations. The inverse of the LT was applied in a numerical manner considering the Fourier expansion technique. The numerical results for the physical variables were calculated numerically and displayed via graphs. The parameter of fractional order effect and variation of thermal conductivity on the displacement, stress, and temperature were investigated and compared with the results of previous studies. The results indicated the strong effect of the external parameters, especially the time-fractional derivative parameter on a thermoelastic thin slim strip phenomenon. The obtained results are deduced to special case if thermal conductivity and thermal shock neglect.

2  The Governing Equations

Considering an isotropic homogeneous thermoelastic thin slim strip, the generalized thermoelastic governing differential equations in the fractional-order form [29] consist of:

(i) The motion equations, if the body forces were neglected

(ii) The constitutive (stress-strain) equations

where images and images are the Lamé parameters, images is the tensor of stress, images images, images is the thermal expansion coefficient, and images is the medium density, images are the elements of the strain tensor, images is the temperature reference, images is the temperature, and images are the elements of the displacement vector.

(iii) Assuming series of Taylor of time-fractional order images is the new fractional form in the present paper [21] presented the time-nonlocal dependence between the the heat flux vector and temperature gradient discussed concerning fractional integrals and derivatives as follows:

where images is the heat conductivity, images is the vector of thermal flux, images is the fractional derivative of Caputo, and images is the fractional-order parameter.

(iv) The equation of heat conduction as time-fractional form takes the form [29]

where images is the unit mass specific heat.

Eq. (4) is the fractional derivatives of generalized energy equation considering the relaxation time images. Some of the theories of the law of thermal conduction follow different values of images and images as limit cases. The theories of coupled or generalized thermoelasticity with one relaxation time and the generalized theory of thermoelasticity without energy dissipation (TWOED) adopt restricted cases according to the value of images, images and images.

The temperature Eq. (4), images and images tends to:

this is the generalized theory that has a thermal relaxation time.

In the restricted case, when images and images the heat conduction Eq. (4), tends to

This is the GN generalized theory without energy dissipation.

Eq. (4) in the thermoelasticity coupled theory in the limiting case images and images as

Variations in mechanical properties due to an imposed temperature field are not the only ones that accompany heating. Similar variations are observed in the thermal properties characterized by such coefficients as the thermal linear expansion coefficients of images, conductivity of thermal images and others. An acceptable approximation in limited temperature interval is obtained by considering the thermal conductivity to depend linearly on the change of temperature.

The function of thermal conductivity formed as a linear function of temperature is given as [30]

where images is thermal conductivity as temperature-dependent, images is the thermal conductivity variation (usually negative experimental coefficient), images denotes the thermal conductivity at T = T0, images is the diffusivity, and images is the time.

Using Eq. (4) with Eq. (8), we get

Using the mapping

where images is the mapping function.

Differentiating with respect to the coordinates, Eq. (10) tends to

Redifferentiating concerning the coordinates axis, we obtain

Similarly, by differentiating with respect to time, the mapping is

From Eqs. (12) and (13), Eq. (9) is given as

From Eqs. (10) and (11), we have

Substituting from Eq. (11) into Eq. (1), we obtain

For the linearity governing partial differential equations, considering the condition images, give the approximating function of the thermal conductivity images.

Then, Eq. (16) takes the form

Using Eq. (15) and neglecting the small values of temperature, the constitutive relation reduces to

3  Formulation of the Problem

Taking into account a thin rod semi-infinite with the half-space region images, the imagesaxis perpendicular to the layer, parallel to images plane, the one-dimension displacement vector is given as

The strain components are

The heat equation is

The equation of motion is

The constitutive relation takes the form

4  Boundary Conditions

Considering a half-space images that primarily rests and has an initial temperature images with zero velocity of temperature, the original conditions are

We assume that when images, the surface becomes free from stresses and is put in sudden heating. The boundary conditions take the form

•    The thermal boundary conditions:

where images is function of Heaviside unit step

•    The boundary conditions concerning mechanical stress, displacement, and temperature are

•    and

5  The Solution of the Problem

To simplify the physical quantities, we put them in the following non-dimensional forms

From Eq. (26), the governing equations (eliminating the primes for convenience) take the forms

where images and images

6  The Solution in the Laplace Transform Domain

If we apply the following LT

Applying it in Eqs. (27)–(30), and using the initial conditions in Eq. (22), we get

The boundary conditions in Eqs. (24) and (25) and the regularity condition in the LT domain take the forms

By eliminating images, we get

By eliminating images between Eqs. (36) and (37), we get

Also, we can show that images satisfies

where

The solution of Eqs. (38) and (39) takes the form

where the parameters images and images satisfy the equation

We can get the displacement using Eq. (28), such that

Thus, we obtain

The temperature increment images is given by providing a solution to (15) to give

We utilize the problem’s boundary conditions to evaluate the images and images parameters. Eqs. (34) and (35) with Eqs. (40) and (41), they immediately give

The solution of the former system of the linear equations provides the parameters images and images in the form

Hence,

Accordingly, the problem is solved in the transformed domain completely.

7  Inversion of the Laplace Transform

It is too difficult to obtain the analytical inverse the LT of the intricate solutions to the temperature, displacement, stress, and strain in the LT domain. The method of numerical inversion is outlined to solve the problem in the physical domain. Durbin [31] obtained the approximation formula

It is worth noting that choosing the free parameters images and images is significant for the accurate results and applying the method’s Korrecktur and the methods of convergence acceleration. The values of the parameters in Eq. (50) are defined as images, images and images.

8  Numerical Results

To calculate the analytical procedure, we take into account a numerical physical example. The findings depict the variations of the non-dimensional values of temperature, displacement, and thermal stresses. Thus, we consider the following values material constants (Copper material and the type 316) as shown in Tab. 1.

Table 1: The constants of the material [32]

The computations for the results obtained are carried out for the time images to obtain the displacement images, temperature images and stress images. They were conducted for several images, for different values of the parameter of fractional-order images with a wide range of images that contains both cases of conductivity; images for low conductivity and images for normal conductivity. Here, the numerical results are displayed graphically in Figs. 1–3.

Figure 1: The effect of fractional order parameter on temperature distribution

Figure 2: The effect of fractional order parameter on displacement distribution

Figure 3: The effect of fractional order parameter on stress distribution

It should be pointed out that, the increasing value of images decreases the speed of wave propagation of the stress and the temperature, whereas the displacement increases. We have noticed that the images value has a strong effect on all distributions. From these figures, the surface stress equals zero and matches the prescribed boundary condition.

In Figs. 4–6, we presented the stress, temperature, and displacement, respectively with different values of images. The thermal conductivity parameter has a significant impact on all fields. Physically, for the variable images, the temperature is a linear function with negative values of images, the heat conductivity decreases with the arising of the temperature, and the distance between the particles increases. The wave speed progress of all fields is slower. Thus, the values of all fields of quantities decrease.

Figure 5: The effect of variation of thermal conductivity on temperature distribution

Figure 4: The effect of variation of thermal conductivity on displacement distribution

Figure 6: The effect of variation of thermal conductivity on the stress distribution

The physical field variables numerical values were calculated and presented by graphs in Figs. 7–9 respect to the axis images to clear the variations nature of the field in the context of different thermoelastic models. The figures illustrate that all variables nearly have the same nature for the (LS), (GN), and (CD) models. Their behaviors are significantly different. The wave propagation with finite speeds is manifested in all figures for theories of (LS) and (GN). It differs for the case for considering the coupled equation of heat conduction (CD) model, in which the mechanical and thermal effects fill the entire space.

Figure 7: The temperature distribution in different theories of thermoelasticity

Figure 8: The displacement distribution in different theories of thermoelasticity

Figure 9: The stress distribution in different theories of thermoelasticity

9  Conclusion

The main observations from these figures are organized as:

•    The LT technique is applied to derive the temperature, displacement, and stress due to the mechanical and thermal shock temperatures.

•    The parameter images has a strong impact on all the physical quantities.

•    Considering the new models applied, we introduced a novel classification for the materials based on their fractional order parameter images- a novel sign of ability.

•    The results motivate the investigation of the conducting thermoelastic.

•    The graphs illustrate the significant effect of the thermal conductivity on all the quantities fields and in different materials that we take into account in any analysis of heat conduction.

•    The field quantities, displacement, temperature, stress, and do not depend only on the state and the space variables images and images but rely on the value of images, as well which has a considerable role in developing all quantities.

•    The different thermoelasticity theories, i.e., Lord and Shulman, GN, and classical dynamical coupled theories were compared.

•    In the generalized thermoelasticity, the wave propagation with a finite speed is evident in all these figures. This is not the case of the theory of coupled thermoelasticity, where the considered function has non-vanishing values for all of images values due to the propagation with an infinite speed of the signal thermal waves.

Acknowledgement: Taif University Researchers Supporting Project number (TURSP-2020/164), Taif University, Taif, Saudi Arabia.

Funding Statement: The author(s) received no specific funding for this study.

Conflicts of Interest: The authors declare that there is no conflicts of interest between all authors.

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