Comparing the dual phase lag, Cattaneo-Vernotte and Fourier heat conduction models using modal analysis

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Highlights

  • Dual phase lag, Cattaneo-Vernotte and Fourier heat conduction models are compared.

  • Modal analysis provides realistic values for lag times of DPL and CV models.

  • Approximate series solutions converge in terms of an energy norm which is stronger than the maximum norm.

  • Heat pulse progresses slower into specimen for DPL and CV models than for Fourier model.

  • Vibrational analysis provides insight into series solutions of DPL and CV models.

Abstract

This paper deals with phase lag (or time-lagged) heat conduction models: the Cattaneo-Vernotte (or thermal wave) model and the dual phase lag model. The main aim is to show that modal analysis of these second order partial differential equations provides a valid and effective approach for analysing and comparing the models. It is known that reliable values for the phase lags of the heat flux and the temperature gradient are not readily available. The modal solutions are used to determine a range of realistic values for these lag times. Furthermore, it is shown that using partial sums of the series solutions for calculating approximate solutions is an efficient procedure. These approximate solutions converge in terms of a so-called energy norm which is stronger than the maximum norm. A model problem where a single heat pulse is applied to a specimen, is used for comparing these models with the Fourier (or parabolic) heat conduction model.

Introduction

The invention of high-energy, short-pulse laser sources has led to significant development in the fields of materials processing and medical surgery. With these developments comes the requirement to understand, and being able to control the effects of short-pulse heating of material specimens. Heat transfer modelling is an important tool in obtaining such insight and control. Modelling essentially relies on the choice of mathematical model, the availability of model parameters (e.g. heat conductivity k and thermal diffusivity α in the case of heat transfer) and knowledge of the mathematical techniques used to analyse these models.

The Fourier model (or diffusion equation) is a well-known and established mathematical model used to describe heat transfer, but it is considered to be inadequate when modelling heat transfer induced by short-pulse lasers, or alternatively, when the material specimen has small dimensions ([1,2]). This stems from the assumption in the derivation of the Fourier model that the heat flux vector and temperature gradient occur simultaneously. Several alternative models have been derived based on the concept of lagging responses in the heat flux and the temperature gradient. These models introduce two parameters τq and τT, known as the phase lags of the heat flux vector and the temperature gradient, respectively ([3]). The phase lags are however not reliably known and therefore pose a challenge when applying the models in specific situations. The alternative models include, but are not limited to the Cattaneo-Vernotte (CV) model, also known as the thermal wave model, and the dual-phase lag (DPL) model ([4], [5], [6], [7], [8], [9]). Two review papers [10] and [11] summarize the early progress in modelling the transmission of heat by thermal waves.

The main aim of this paper is to show that modal analysis of the DPL and CV heat conduction models provides a valid and effective approach for analysing and comparing the models. Simplified one-dimensional versions of the general three-dimensional models are used. This simplification is justified, in part, by the convention followed in international metrology to determine the thermal diffusivity α of materials relying on one-dimensional heat transfer modelling ([12], [13], [14]).

When comparing models, an option that provides interesting insights is to determine the predicted temperature distributions that result from the same input. In this paper, a pulse problem where a single heat pulse is applied to one endpoint of a specimen for a short time interval, is used for these comparisons. Of specific interest is the temporal and spatial behaviour of the pulse as it propagates through the specimen. The approach developed in [15] is well suited for such comparisons.

The well-posedness of the DPL and CV model problems is established using a general existence result in [16]. The weak formulations of both these models are special cases of an abstract hyperbolic problem in a Hilbert space setting. A formal series solution for the abstract problem is obtained, using a generalised separation of variables method. It is well-known that finite sums of modal solutions may be used as approximate solutions for the different models. However, the convergence in energy, as introduced in [15], means that the accuracy of these approximate solutions depends only on the accuracy of the partial sum approximations of the initial values. Consequently, an upper bound for the approximation error at any time t>0 is available.

There are several other advantages to using this modal approach. Firstly, the associated eigenvalue problem is the same for all three models, and consequently the functions that model the time behaviour do not depend on the spatial dimension of the problem, i.e. do not depend on the dimension of the eigenvalue problem. Conditions can be derived in terms of the physical parameters of the models for whether modes are underdamped or overdamped. This classification of modes is not typically used for heat conduction models, but borrowed from vibration analysis. It provides useful insight into the properties of the series solutions.

Furthermore, one of the important findings of this paper is that the modal solutions can be used to find justifiable values for the (dimensionless) model parameters: the lag times τq and τT, and the thermal diffusivity α. Upper bounds for the lag times are obtained from the fact that, in some cases, the Fourier model yields physically realistic results after a sufficiently long time. This implies that in these cases, the solutions of the DPL and CV models should approach the solution of the Fourier model after some time.

The pulse problem is solved using an equivalent transformed problem with homogenised boundary conditions. The number of terms to use in the approximate solutions is obtained from the partial sum approximation of the initial value. But for the transformed problem the initial temperature distribution has a discontinuity at the boundary, due to the step function modelling of the boundary temperature pulse, and the approximation error in energy cannot be calculated. However, this initial temperature distribution can be replaced, with arbitrary small mean square error, by a piecewise differentiable function. The theory in [15] can then be applied.

The derivation of the DPL and CV heat conduction models is discussed in Section 2. In Section 3, relevant results pertaining to the existence and convergence of the formal series solutions are presented. The properties of the energy norm are discussed in this section. Expressions for the series solutions of the heat conduction models are derived in Section 4, and parameter values are obtained in Section 5. In Section 6, the initial temperature distribution for the pulse problem is discussed. A comparison of the pulse problem for the three models is presented in Section 7, followed by some concluding remarks in Section 8.

Section snippets

Phase lagged heat conduction models

The conservation of heat energy forms the basis for heat conduction models. The rate of change in heat energy in a region D equals the flow of energy out of the region through the boundary E, if there are no heat sources inside the region:ddtDρcpTdV=Eq·ndS.T is the temperature, q the heat flux, ρ the medium density, cp the specific heat, and n the outward normal.

The associated partial differential equation is given byρcptT=·q.For the three models considered in this paper, the

Solvability of DPL and CV models

The weak formulations of the DPL and CV models are special cases of an abstract problem formulated in a Hilbert space setting and solved in [16] (using semigroup theory).

The variational formulation of (10) requires that01t2uvdx+2γ01tuvdx+τTβ201txuvdx+β201xuvdx=01(g+2γg)vdx,for all smooth test functions v with v(0)=0. Three bilinear forms a, b and c are defined as follows:c(u,v)=01uvdxb(u,v)=β201uvdxa(u,v)=2γc(u,v)+τTb(u,v)The weak form of (12) is a special case of the

Simplified pulse problem

As a simplification of the pulse problem (9) in Section 2, it is assumed that the pulse magnitude decreases instantaneously to zero at t=tp:g(t)={1,0t<tp0,ttpFurther justification for this choice is presented in Section 7 as well. The following strategy is used to solve both the simplified DPL model, and the CV model (τT=0). The pulse problem (9) is divided into two problems corresponding to the different boundary conditions at x=0.

Upper bounds for τq and τT

The lag times τq and τT are not reliably known, but modal analysis can be used to estimate realistic values for these lag times. It is known that, especially in the case of metals, the Fourier model yields physically realistic results after a sufficiently long time. Assuming that the DPL and CV models predict the same results after a sufficiently long time, means that the solutions of the DPL and CV models and the Fourier model should be approximately equal when only the first modes are used.

Approximation errors for uδ

From the results in Section 3 follow that for an appropriately chosen initial value u0 (and u1=0) convergence in energy for the series solution of Problem 1 can be guaranteed for any t>0.

Recall that for the DPL and CV models, the inertia space is W=L2(0,1) and the energy space VH1(0,1). The initial value u0(x)=1, that is used for the simulations in Section 7, does not satisfy the homogenous boundary condition at x=0, and therefore u0 does not belong to the energy space VH1(0,1). Problem 1 is

Properties of the solutions of problem 1

In this section approximate solutions of Problem 1 for the Fourier, CV and DPL models are calculated using the series solutions in (39) and (46). The transformed temperature distribution u(x,t) is shown in the graphs. The approximate solutions u1000F, u1000CV and u1000DPL using N=1000 terms are presented in the following figures.

In Fig. 2, it is clear that at t=0.075 the thermal wave front has had enough time to develop and to be clearly visible. The CV model predicts a sharp increase in the

Conclusion

Modal analysis of the DPL and CV heat conduction models provides an efficient method for investigating the properties of the solutions, and for comparing the solutions to those of the Fourier model. Using partial sums of the series solutions as approximate solutions is an effective numerical procedure seeing that, in contrast to time-stepping numerical methods, there is no growth in the approximation error as time increases. Temperature profiles showing both the spatial and the temporal

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