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Article

An Analytic Model of Transient Heat Conduction for Bi-Layered Flexible Electronic Heaters by Symplectic Superposition

1
State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, International Research Center for Computational Mechanics, Dalian University of Technology, Dalian 116024, China
2
Department of Strength, AVIC Shenyang Aircraft Design and Research Institute, Shenyang 110035, China
*
Author to whom correspondence should be addressed.
Micromachines 2022, 13(10), 1627; https://doi.org/10.3390/mi13101627
Submission received: 31 August 2022 / Revised: 21 September 2022 / Accepted: 26 September 2022 / Published: 28 September 2022
(This article belongs to the Special Issue Structural Analyses and Designs for Flexible/Stretchable Electronics)

Abstract

:
In a flexible electronic heater (FEH), periodic metal wires are often encapsulated into the soft elastic substrate as heat sources. It is of great significance to develop analytic models on transient heat conduction of such an FEH in order to provide a rapid analysis and preliminary designs based on a rapid parameter analysis. In this study, an analytic model of transient heat conduction for bi-layered FEHs is proposed, which is solved by a novel symplectic superposition method (SSM). In the Laplace transform domain, the Hamiltonian system-based governing equation for transient heat conduction is introduced, and the mathematical techniques incorporating the separation of variables and symplectic eigen expansion are manipulated to yield the temperature solutions of two subproblems, which is followed by superposition for the temperature solution of the general problem. The Laplace inversion gives the eventual temperature solution in the time domain. Comprehensive time-dependent temperatures by the SSM are presented in tables and figures for benchmark use, which agree well with their counterparts by the finite element method. A parameter analysis on the influence of the thermal conductivity ratio is also studied. The exceptional merit of the SSM is on a direct rigorous derivation without any assumption/predetermination of solution forms, and thus, the method may be extended to more heat conduction problems of FEHs with more complex structures.

1. Introduction

Electric heating devices have attracted scholarly interest due to their important engineering and medical applications during the past few decades, including resistive micro heaters [1], electrothermal pumping devices [2], shape memory polymer micro actuators for drug delivery [3], homoeothermic maintenance in small animals [4], etc. However, they are designed within rigid structures that cannot heat undevelopable curved surfaces, leading to inhomogeneous temperature distributions caused by inevitable wrinkles from non-developable designs. To resolve this problem, recent advancements in flexible electronic heaters (FEHs) have arisen.
The FEHs developed in recent years can be divided into two major categories. One is on polymers with a variety of conductive compositions, including transparent copper fiber heaters [5], metal nanowire heaters for wearable electronics applications [6], organic conductive polymers [7], carbon nanotube-based resistive heater textile [8], stretchable tattoo-like heaters with on-site temperature feedback control [9], etc. Under stretching circumstances, the electrical resistance of an FEH will increase rapidly due to the deformation of the fibers, thus leading to extraordinarily non-uniform temperatures, i.e., hot spots [5]. In addition, extremely complicated manufacturing techniques are required to produce such FEHs. The other category is encapsulating periodic metal wires into the soft elastic substrate performing as heat sources to avoid hot spots, such as kirigami-patterned wearable thermotherapy devices [10], two-dimensional serpentine configured electronics [11], three-dimensional network devices [12], multifunctional membranes in cardiac electrotherapy [13], etc. In this way, the electrical resistance of periodic metal wires will behave stably due to their flexible deformation. However, designable heat sources demand spaces to keep deformability and extensibility, resulting in different temperatures at certain positions. Since the localized high temperature will burn the tissue and it is extraordinarily hard to control the heating power, temperature uniformity is usually a key point of FEHs in engineering applications.
Great efforts have been made to achieve temperature uniformity in FEHs via periodic wire structures embedded into substrate layers. Various conductive wire heaters, which are composed of metallic nanowires [14], carbon nanotubes [15], conductive polymers [16], or hybrid materials [17], have been studied for realizing the optimal performances of the FEHs. Comparatively, metallic nanowires, e.g., Ag nanowires, not only have outstanding conductivity but also can be obtained via an uncomplicated preparation process with low cost, resulting in wide applications in FEHs. In addition to experimental studies, it is necessary to develop analytic models on the transient heat conduction of FEHs. In this way, the time-dependent temperature distribution can be rapidly predicted, and the effects of key parameters can be rapidly analyzed, which is very useful for the layout design of wire structures in FEHs. However, given the previously reported results, there have been very few studies on the analytic modeling of transient heat conduction for FEHs.
Figure 1a shows the schematic illustration of an easy-to-implement bi-layered FEH, where parallel wire heaters are sandwiched between an objective layer and an encapsulated layer. The transient heat conduction problem of such a structure is first equivalent to that of a single component due to the periodicity (Figure 1b, left and upper right). It is further simplified to a two-dimensional problem by taking a cross-section that is perpendicular to the wire in the component (Figure 1b, lower). Details appear in Section 2. The major difficulty hindering the analytic modeling of such a bi-layered transient heat conduction model is in solving the governing partial differential equations (PDEs) incorporating prescribed temperature/heat flux boundary conditions (BCs).
In recent years, we have proposed a novel analytic symplectic superposition method (SSM) that has been successfully applied to bending [18], buckling [19], and vibration [20] of plate and shell structures as well as the mechanical analysis of flexible electronics [21]. The method involves a skillful combination of the superposition method and the symplectic approach [22], which is conducted within the Hamiltonian framework in the symplectic space rather than within the Lagrangian system in the Euclidean space where the conventional analytic methods are conducted. The main idea of the SSM (Figure 2) is to transform the governing PDEs of a problem into the Hamiltonian system to establish the subproblems that can be analytically solved by the symplectic approach, and the eventual analytic solution is obtained according to the equivalence between the general problem and the superposition of the subproblems.
Compared with the conventional methods, the exceptional merit of SSM is the inherent rigorous derivation without any assumption and pre-determination of solution forms, which enables it to serve as a general method for new analytic solutions. Although the main applications of the SSM have been on the mechanical problems of structures, it may find access to some new issues that are physically different from the mechanical problems.
In this study, we make an SSM-based successful attempt to achieve the transient heat conduction analysis for bi-layered FEHs. The governing equation in the Hamiltonian system is introduced in Section 2, where the symplectic eigenproblems are generated by the separation of variables in the symplectic space. In Section 3, the basic solution procedure of subproblems is presented, and the eventual solution is obtained by superposition. The convergent time-dependent temperature results obtained by the SSM are given in Section 4, with the verification by the finite element method (FEM). With the transient solution, the steady-state results are also revealed, and the effect of the thermal conductivity ratio is discussed. Conclusions are drawn in Section 5.

2. Governing Equation for Bi-Layered Transient Heat Conduction within the Hamiltonian Framework

As is shown in Figure 1b, lower, a two-dimensional half model is considered for a single component due to the symmetry with respect to the oy axis, with the entire dimensions along ox and oy axes being a and b 1 + b 2 , respectively. The thickness of Layer 1 (the bottom objective layer) is b 1 and that of Layer 2 (the top encapsulated layer) is b 2 . The wire heat source is modeled as a point heat source (with a half heat source intensity) in the cross-section, as indicated by the semicircular red dot at ( 0 , b 1 ) . The governing transient heat conduction equation is written as [23]
1 α i T i ( x , y , t ) t = 2 T i ( x , y , t ) x 2 + 2 T i ( x , y , t ) y 2 + 1 k i g i ( x , y , t )
Here, the quantities with a subscript i (=1 or 2) represent those for Layer i . T i ( x , y , t ) is the temperature increment function, g i ( x , y , t ) is the heat source, t is time, α i = k i / ( ρ i c i ) is the thermal diffusivity with k i being the thermal conductivity, ρ i being the density, and c i being the specific heat capacity.
The BCs at the upper and lower surfaces yield
( κ i T i + η i T i ) | y = 0 , b 1 + b 2 = γ i ( x , y , t )
In this study, it comes to either Dirichlet type, with κ i = 0 and η i 0 , or Neumann type, with κ i 0 and η i = 0 . The left and right sides are subjected to adiabatic BCs due to the symmetry with respect to the oy axis and the periodicity along the ox axis, respectively.
The Laplace transform of a real function f : , with f ( t ) = 0 for t < 0 , and its inversion are defined as [24]
F ( s ) = L [ f ( t ) ] = 0 e s t f ( t )   d t f ( t ) = L 1 [ F ( s ) ] = 1 2 π i v I v + I e s t F ( s )   d s
with s = v + I w ( v , w ), where I is the imaginary unit. v is arbitrary but greater than the real parts of all the singularities of F ( s ) .
The governing equation and BCs are converted into the Laplace transform domain:
s T ¯ i ( x , y , s ) α i = 2 T ¯ i ( x , y , s ) x 2 + 2 T ¯ i ( x , y , s ) y 2 + 1 k i g ¯ i ( x , y , s ) κ i T ¯ i + η i T ¯ i = γ ¯ i ( x , y , s )
where the variables with an overbar represent those in the Laplace transform domain and s represents the Laplace transform parameter. Introduce the Lagrangian function [25]:
L i = k i 2 [ T ¯ ˙ i 2 + ( T ¯ i x ) 2 + s T ¯ i 2 α i ] g ¯ i T ¯ i
where the over dot indicates the partial derivative about y. Based on the principle of the least action for the transient heat conduction process [26], we acquire
δ L i d x d y = 0
It is noted that for the transient heat conduction process, the entransy dissipation rate closely connects to the integral of the convolution of heat flux and negative temperature gradient over the time and space domain, whose convolution integral consists of the influence of the time evolution. In addition, the transient heat conduction process includes both the dissipating and non-dissipating processes, and thus, its variational function could include both the dissipating and non-dissipating terms [27,28], as depicted in Equation (5).
Defining
q ¯ i = T ¯ i
its dual variable can be obtained by Legendre transform, yielding
p ¯ i = L i T ˙ i = k i T ¯ i y
The Hamiltonian function is introduced according to Equations (7) and (8) as
H i ( q ¯ i , p ¯ i ) = p ¯ i q ¯ ˙ i L i
with q ¯ ˙ i = H i / p ¯ ˙ i and p ¯ ˙ i = H i / q ¯ i f ¯ i . Accordingly, the variation of Equation (9), δ H i ( q ¯ i , p ¯ i ) = 0 yields the following Hamiltonian-system equation
Z ˙ i = H i Z i + f i
where Z i = [ q ¯ i , p ¯ i ] T is the state vector, f i = [ 0 , g ¯ i ] T is the vector concerning the heat source, and g ¯ i = ( Q i / s ) δ ( x x i ) δ ( y y i ) is the point heat source with a constant heat source intensity Q i and the Dirac delta function δ .
H i = [ 0 1 k i s k i α i k i 2 x 2 0 ]
is the Hamiltonian operator matrix that satisfies H i T = J H i J , where J = [ 0 1 1 0 ] is a symplectic matrix [22].
Separating the variables in the symplectic space as Z i = X i ( x ) Y i ( y ) , where X i ( x ) = [ q ¯ i ( x ) , p ¯ i ( x ) ] T is a vector depending only on x, and Y i ( y ) is a function depending only on y, we have
d Y i ( y ) d y = μ Y i ( y ) H i X i ( x ) = μ X i ( x )
where μ is a non-zero eigenvalue, and X i ( x ) is the corresponding eigenvector. The characteristic equation of the second half of Equation (12) is
( λ i ) 2 + ( μ i ) 2 = s α i
with the roots
λ i = ± I β i
and
β i = ( μ i ) 2   s α i
The general temperature solution in the Laplace transform domain is therefore
T ¯ i ( x ) = A i cos ( β i x ) + B i sin ( β i x )
where A i and B i are coefficients undetermined hitherto.

3. New Analytic Solution by the SSM

Since the main purpose of this study is to provide an SSM-based analytic model of transient heat conduction for bi-layered FEHs, a general problem with an arbitrarily positioned point heat source at ( x 1 , y 1 ) in Layer 1 and an arbitrarily positioned point heat source at ( x 2 , y 2 ) in Layer 2 is constructed (Figure 3a). In the following, the analytic solution will be derived within the framework of the Hamiltonian system via the solution procedure of the SSM in Figure 3, where two subproblems are given to establish the equivalence to the general problem. The basic systems of the two subproblems are both within a rectangular domain with zero heat flux, i.e., adiabatic BCs, on opposite edges at x = 0 and x = a .
In Layer 1 (Figure 3b), the heat flux BCs should be satisfied: ( T ¯ / x ) | x = 0 = ( T ¯ / x ) | x = a = 0 , which yields B 1 = 0 and sin ( a β 1 ) = 0 , leading to
β m 1 = m π a β m 1 = m π a ( m = 1 , 2 , 3 , )
The eigenvalues are thus
μ ± m 1 = ± ( β m 1 ) 2 + s α 1
The corresponding eigenvectors are
X m 1 ( x ) = cos ( β m 1 x ) [ 1 k 1 μ m 1 ] X m 1 ( x ) = cos ( β m 1 x ) [ 1 k 1 μ m 1 ]
It is necessary to mention that X m 1 ( x ) and X m 1 ( x ) are symplectically conjugated (i.e., 0 a [ X m 1 ( x ) ] T J X m 1 ( x ) d x 0 ), while any other combinations of two eigenvectors are symplectically orthogonal [22]. Moreover, we have constant eigenvalues μ 01 1 = s / α 1 and μ 02 1 = s / α 1 from Equation (18) when n = 0 ; thus, the corresponding eigenvectors are
X 01 1 ( x ) = [ 1 k 1 μ 01 1 ] X 02 1 ( x ) = [ 1 k 1 μ 01 1 ]
Since all eigenvectors have been obtained for the Layer 1 problem, the state vector can be expanded according to the symplectic orthogonality and conjugacy, yielding
Z 1 = X 1 ( x ) Y 1 ( y )
where
X 1 ( x ) = [ , X 01 1 ( x ) , X m 1 ( x ) , , X 02 1 ( x ) , X m 1 ( x ) , ] Y 1 ( y ) = [ , Y 01 1 ( y ) , Y m 1 ( y ) , , Y 02 1 ( y ) , Y m 1 ( y ) , ] T
Substituting Equation (21) into Equation (10) yields
X 1 ( x ) d Y 1 ( y ) d y = H 1 X 1 ( x ) Y 1 ( y ) + [ 0 , g ¯ 1 ] T
From the second of Equation (12), we have
H 1 X 1 ( x ) = X 1 ( x ) M 1
where M 1 = diag ( , μ 01 1 , μ m 1 , , μ 02 1 , μ m 1 , ) . The vector concerning the heat source can be expanded by the symplectic eigenvectors, i.e.,
[ 0 , g ¯ 1 ] T = X 1 ( x ) G 1
where G 1 = [ , g 01 1 , g m 1 , , g 02 1 , g m 1 , ] T is the column matrix of the expansion coefficients. Taking Equations (24) and (25) into Equation (23), we have
d Y 1 ( y ) d y M 1 Y 1 = G 1
i.e.,
d Y 01 1 ( y ) d y μ 01 1 Y 01 1 ( y ) = g 01 1 , d Y 02 1 ( y ) d y μ 02 1 Y 02 1 ( y ) = g 02 1 d Y m 1 ( y ) d y μ m 1 Y m 1 ( y ) = g m 1 , d Y m 1 ( y ) d y μ m 1 Y m 1 ( y ) = g m 1
Multiplying both sides of Equation (25) by X 1 ( x ) T J with integration concerning x over [ 0 , a ] , i.e.,
0 a X 1 ( x ) T J X 1 ( x ) G 1 d x = 0 a X 1 ( x ) T [ 0 , g ¯ 1 ] T d x
we obtain
g 01 1 = Q 1 2 s a k 1 μ 01 1 δ ( y y 1 ) ,   g m 1 = Q 1 s a k 1 μ m 1 cos ( m π x 1 a ) δ ( y y 1 ) g 02 1 = Q 1 2 s a k 1 μ 02 1 δ ( y y 1 ) ,   g m 1 = Q 1 s a k 1 μ m 1 cos ( m π x 1 a ) δ ( y y 1 )
Substituting Equation (29) into Equation (27), we obtain
Y 01 1 ( y ) = C 0 1 exp ( μ 01 1 y ) Q 1 2 s a k 1 μ 01 1 H ( y y 1 ) exp [ μ 01 1 ( y y 1 ) ] Y 02 1 ( y ) = D 0 1 exp ( μ 02 1 y ) Q 1 2 s a k 1 μ 02 1 H ( y y 1 ) exp [ μ 02 1 ( y y 1 ) ] Y m 1 ( y ) = C m 1 exp ( μ m 1 y ) Q 1 s a k 1 μ m 1 cos ( m π x 1 a ) H ( y y 1 ) exp [ μ m 1 ( y y 1 ) ] Y m 1 ( y ) = D m 1 exp ( μ m 1 y ) Q 1 s a k 1 μ m 1 cos ( m π x 1 a ) H ( y y 1 ) exp [ μ m 1 ( y y 1 ) ]
where C 0 1 , D 0 1 , C m 1 , and D m 1 are undetermined coefficients and H is the Heaviside function. With the BCs at the bottom surface attached to human skin and the interface between Layer 1 and Layer 2:
T ¯ | y = 0 = T ¯ skin = T skin s k 1 T ¯ y | y = b 1 = E 0 + m = 1 , 2 , 3 , E m cos m π x a
the temperature solution in Layer 1 (Figure 3b) in the Laplace transform domain is obtained as
k 1 T ¯ Layer   1 ( x , y , s ) Q 1 = m = 1 , 2 , 3 , 1 s ζ 1 ζ 1 m [ 1 + exp ( 2 ξ 1 ) ] × exp ( ξ 1 y ^ ) { ζ 1 m exp ξ 1 ( s θ 1 + δ 1 ζ 1 exp ξ 1 ) + ζ 1 m exp ( 2 ξ 1 y ^ ) ( δ 1 ζ 1 s θ 1 exp ξ 1 ) exp ξ 1 H ( b 1 y 1 ) { ζ 1 m cosh [ ξ 1 ( 1 y ^ 1 ) ] [ 1 exp ( 2 ξ 1 y ^ ) ] 4 ζ 1 cosh ξ 1 × sec h ξ 1 m exp ( ξ 1 y ^ ) cos ( m π x ^ ) cos ( m π x ^ 1 ) sinh ( ξ 1 m y ^ ) cosh [ ξ 1 m ( 1 y ^ 1 ) ] } 2 cosh ξ 1 exp [ ξ 1 ( 1 + y ^ ) ] { s ζ 1 θ 1 m sec h ξ 1 m cos ( m π x ^ ) sinh ( ξ 1 m y ^ ) + H ( y y 1 ) × { ζ 1 m sinh [ ξ 1 ( y ^ y ^ 1 ) ] + 2 ζ 1 cos ( m π x ^ ) cos ( m π x ^ 1 ) sinh [ ξ 1 m ( y ^ y ^ 1 ) ] } } }
where x ^ = x / a , y ^ = y / b 1 , x ^ 1 = x 1 / a , y ^ 1 = y 1 / b 1 , ξ 1 m = b 1 μ m 1 , ζ 1 m = a μ m 1 , ξ 1 = b 1 μ 01 1 , ζ 1 = a μ 01 1 , δ 1 = k 1 T skin / Q 1 , θ 1 = a E 0 / Q 1 , and θ 1 m = a E m / Q 1 .
Following the same logic as described above, with the BCs at the top surface exposed to air and the interface between Layer 1 and Layer 2:
T ¯ | y = b 1 + b 2 = T ¯ surface = T surface s k 2 T ¯ y | y = b 1 = E 0 + m = 1 , 2 , 3 , E m cos m π x a
the temperature solution in Layer 2 (Figure 3c) in the Laplace transform domain is obtained as
k 2 T ¯ Layer   2 ( x , y , s ) Q 2 = m = 1 , 2 , 3 , 1 s ζ 1 ζ 1 m [ 1 + exp ( 2 ξ 2 ) ] [ 1 + exp ( 2 ξ 2 m ) ] { 4 exp ( ξ 2 + ξ 2 m ) × { ζ 1 m cosh ξ 2 m { δ 2 ζ 1 cosh [ ξ 1 ( 1 y ^ ) ] s θ 2 sinh [ ξ 2 + ξ 1 ( 1 y ^ ) ] } s ζ 1 θ 2 m cosh ξ 2 × cos ( m π x ^ ) sinh [ ξ 2 m + ξ 1 m ( 1 y ^ ) ] + ζ 1 m cosh ξ 2 m cosh [ ξ 1 ( 1 y ^ ) ] H ( b 1 + b 2 y 2 ) × sinh [ ξ 1 + ξ 2 ( 1 y ^ 2 ) ] } [ 1 + exp ( 2 ξ 2 ) ] { ζ 1 m H ( y y 2 ) sinh ( ξ 1 y ^ ξ 2 y ^ 2 ) × [ 1 + exp ( 2 ξ 2 m ) ] 4 ζ 1 exp ξ 2 m cos ( m π x ^ ) cos ( m π x ^ 2 ) { cosh ξ 2 m H ( y y 2 ) × sinh ( ξ 2 m y ^ 2 ξ 1 m y ^ ) + cosh [ ξ 1 m ( 1 y ^ ) ] H ( b 1 + b 2 y 2 ) sinh [ ξ 1 m + ξ 2 m ( 1 y ^ 2 ) ] } } }
where x ^ 2 = x 2 / a , y ^ 2 = y 2 / b 2 , ξ 2 m = b 2 μ m 1 , ξ 2 = b 2 μ 01 1 , δ 2 = k 2 T surface / Q 2 , θ 2 = a E 0 / Q 2 , and θ 2 m = a E m / Q 2 .
Both the temperature and heat flux should be continuous at the interface at y = b 1 . The continuity of heat flux at y = b 1 has been satisfied, as revealed in Equations (31) and (33) where the same heat flux expression holds for Layer 1 and Layer 2. The continuity of temperature requires
T ¯ Layer   1 ( x , b 1 , s ) = T ¯ Layer   2 ( x , b 1 , s )
By Equation (35), the coefficients E 0 and E m   ( m = 1 , 2 , 3 , ) are determined, and the analytic solution can be eventually given in the Laplace transform domain as
T ¯ FEH ( x , y , s ) = { T ¯ Layer   1 ( x , y , s ) , 0 y b 1 T ¯ Layer   2 ( x , y , s ) , b 1 y b 1 + b 2
It should be pointed out that an explicit expression of the inverse Laplace transform is strikingly complicated, and thus, it is not presented here.

4. Comprehensive Benchmark Results

To provide comprehensive numerical and graphical results as benchmarks for further structural designs, the analytic transient heat conduction results of bi-layered FEHs are given by the SSM with verification by the FEM. The considered circumstances are given with the following parameters: a = 3   mm , b 1 = 2   mm , b 2 = 1   mm , α 1 = 2   mm 2 / s , k 1 = 2   W / ( m K ) , ρ 1 c 1 = 10 6   J / ( m 3 K ) , α 2 = 1   mm 2 / s , k 2 = 1   W / ( m K ) , and ρ 2 c 2 = 10 6   J / ( m 3 K ) . The BCs for Case 1 are set, with the top surface subjected to room temperature T surface = 25   ° C and the bottom surface subjected to body temperature T skin = 37   ° C . The point heat source corresponds to Q 1 = 0 and Q 2 = 3   mW / mm 3 at ( 0 , b 1 ) . The BCs for Case 2 are given with the top and bottom surfaces subjected to T skin = T surface = 37   ° C , and the point heat source corresponds to Q 1 = 0 and Q 2 = 10   mW / mm 3 . The FEM is used via the software package ABAQUS with the four-node linear heat transfer quadrilateral shell element DC2D4 and the uniform mesh size of a/100 to achieve the convergent numerical solutions.
As revealed by the temperature results marked in bold in Table 1, rapid convergence is achieved such that dozens of series terms (20 at most) are enough to realize the accuracy to the last significant digit of five, and these results are justified by comparison with those by the FEM due to the lack of available analytic solutions. Therefore, 20 series terms are taken throughout this study.
The temperature results at typical locations within a broad time range are tabulated in Table 2 and Table 3. The comparison shows that all the present results agree quite well with those by the FEM, which confirms the validity and accuracy of the SSM.
To give more intuitive results, Figure 4 plots the contours of temperature distribution at different times for a more realistic Case 1 followed by comparison with the FEM, where satisfactory agreement is also observed. In addition, the time-dependent temperatures at a typical location, (a/2, a/2), are plotted in Figure 5, with the inset showing the temperature distribution under steady state when t > 9.0 s.
To further study the influence of thermal properties on the heat conduction behavior, a parameter analysis for Case 1 is conducted by changing the thermal conductivity k 1 but keeping k 2 constant, as shown in Figure 6. It is found that the larger the thermal conductivity ratio k 1 / k 2 is, the faster the steady state is reached, which indicates a speed-up of thermotherapy. On the other hand, a larger k 1 / k 2 corresponds to higher temperatures in Layer 1, which helps raise the temperature near human skin.

5. Conclusions

In this study, an analytic model of transient heat conduction by symplectic superposition is established for bi-layered FEHs and is well verified by the FEM modeling. By converting the problems in the Laplace transform domain into the Hamiltonian system, the mathematical techniques such as separation of variables and symplectic eigen expansion become available for deriving some new analytic solutions. The high accuracy and rapid convergence of the SSM are well confirmed by the numerical results as compared with the FEM results shown in tables and figures. The time-dependent temperature results, including the steady-state results, and the effect of thermal conductivity ratio on heat conduction have also been investigated. The developed analytic model provides a theoretical basis for transient heat conduction analysis of bi-layered FEHs, and it may be extended to more complicated problems, such as those of multi-layered FEHs and orthotropic FEHs. It is also worth mentioning that although the present solution does not involve Robin-type BCs, the SSM may be extended to heat conduction problems under such BCs as well.

Author Contributions

Conceptualization, R.L.; methodology, R.L., B.W., D.X. and S.X.; formal analysis, D.X. and F.M.; data curation, S.X. and F.M.; software, S.X. and F.M.; writing-original draft, D.X.; writing-review and editing, R.L. and B.W.; supervision, R.L.; funding acquisition, R.L. and B.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (grants 12022209, 11972103, and U21A20429) and Fundamental Research Funds for the Central Universities (grant DUT21LAB124).

Data Availability Statement

The data presented in this study are available on reasonable request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Schematic illustration of (a) a bi-layered FEH with parallel wire structures integrated with human skin and (b) a bi-layered transient heat conduction model.
Figure 1. Schematic illustration of (a) a bi-layered FEH with parallel wire structures integrated with human skin and (b) a bi-layered transient heat conduction model.
Micromachines 13 01627 g001aMicromachines 13 01627 g001b
Figure 2. Flowchart of the solution procedure for the SSM.
Figure 2. Flowchart of the solution procedure for the SSM.
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Figure 3. SSM procedure for bi-layered transient heat conduction with two arbitrarily positioned point heat sources. (a) General problem. (b) Subproblem for Layer 1. (c) Subproblem for Layer 2.
Figure 3. SSM procedure for bi-layered transient heat conduction with two arbitrarily positioned point heat sources. (a) General problem. (b) Subproblem for Layer 1. (c) Subproblem for Layer 2.
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Figure 4. Temperature distribution (°C) for Case 1 on bi-layered transient heat conduction with a point heat source.
Figure 4. Temperature distribution (°C) for Case 1 on bi-layered transient heat conduction with a point heat source.
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Figure 5. Time-dependent temperatures for Case 1 at (a/2, a/2), with the inset showing the temperature distribution under steady state.
Figure 5. Time-dependent temperatures for Case 1 at (a/2, a/2), with the inset showing the temperature distribution under steady state.
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Figure 6. Influence of the thermal conductivity ratio on time-dependent temperatures for Case 1 at (a/2, a/2).
Figure 6. Influence of the thermal conductivity ratio on time-dependent temperatures for Case 1 at (a/2, a/2).
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Table 1. Convergence study for the present temperature solutions (°C) at typical locations when t = 15.0 s.
Table 1. Convergence study for the present temperature solutions (°C) at typical locations when t = 15.0 s.
CaseLocationNumber of Series TermsFEM
510203050
1(a/6, a/6)35.69935.699 35.699 35.699 35.699 35.699
(a/2, a/6)35.61335.613 35.613 35.613 35.613 35.613
(5a/6, a/6)35.56335.563 35.563 35.563 35.563 35.563
(a/6, a/2)33.197 33.19033.190 33.190 33.190 33.190
(a/2, a/2)32.784 32.78132.781 32.781 32.781 32.781
(5a/6, a/2)32.644 32.64132.641 32.641 32.641 32.641
(a/6, 5a/6)28.499 28.49228.492 28.492 28.492 28.492
(a/2, 5a/6)28.171 28.16728.167 28.167 28.167 28.167
(5a/6, 5a/6)28.081 28.078 28.07728.077 28.077 28.077
2(a/6, a/6)37.66237.662 37.662 37.662 37.662 37.662
(a/2, a/6)37.37837.378 37.378 37.378 37.378 37.378
(5a/6, a/6)37.21037.210 37.210 37.210 37.210 37.210
(a/6, a/2)39.324 39.300 39.30139.301 39.301 39.302
(a/2, a/2)37.947 37.93537.935 37.935 37.935 37.935
(5a/6, a/2)37.479 37.469 37.46837.468 37.468 37.468
(a/6, 5a/6)38.662 38.638 38.63938.639 38.639 38.640
(a/2, 5a/6)37.570 37.557 37.55837.558 37.558 37.557
(5a/6, 5a/6)37.269 37.259 37.25837.258 37.258 37.258
Table 2. FEM-validated temperature solutions (oC) at different times for Case 1.
Table 2. FEM-validated temperature solutions (oC) at different times for Case 1.
Time
(s)
MethodLocation
(a/6, a/6) (a/2, a/6)(5a/6, a/6)(a/6, a/2)(a/2, a/2)(5a/6, a/2)(a/6, 5a/6)(a/2, 5a/6)(5a/6, 5a/6)
0.5Present27.64827.58627.55715.26614.91314.82417.50117.22117.170
FEM27.58027.51927.49015.15014.79914.71217.44317.16517.114
1.0Present32.13432.05332.00725.17124.77124.64123.51323.19523.113
FEM32.08832.00731.96125.06824.66924.53923.45023.13323.051
1.5Present34.10134.01633.96729.59429.18629.04726.25725.93425.845
FEM34.07033.98633.93629.52429.11628.97826.21425.89125.802
2.0Present34.98234.89634.84631.57631.16731.02727.48927.16527.075
FEM34.96334.87834.82831.53531.12530.98627.46327.13927.049
2.5Present35.37735.29235.24132.46632.05631.91628.04227.71727.627
FEM35.36635.28135.23132.44332.03331.89328.02727.70327.613
3.0Present35.55435.46935.41932.86532.45532.31528.29027.96527.875
FEM35.54835.46335.41332.85332.44332.30328.28227.95727.868
5.0Present35.69335.60735.55733.17732.76732.62728.48428.15928.069
FEM35.69235.60735.55733.17632.76732.62628.48328.15928.069
7.5Present35.69835.61335.56333.19032.78032.64028.49228.16728.077
FEM35.69835.61335.56333.19032.78032.64028.49228.16728.077
10.0Present35.69935.61335.56333.19032.78132.64128.49228.16728.077
FEM35.69935.61335.56333.19032.78132.64128.49228.16728.077
15.0Present35.69935.61335.56333.19032.78132.64128.49228.16728.077
FEM35.69935.61335.56333.19032.78132.64128.49228.16728.077
Table 3. FEM-validated temperature solutions (°C) at different times for Case 2.
Table 3. FEM-validated temperature solutions (°C) at different times for Case 2.
Time
(s)
MethodLocation
(a/6, a/6) (a/2, a/6)(5a/6, a/6)(a/6, a/2)(a/2, a/2)(5a/6, a/2)(a/6, 5a/6)(a/2, 5a/6)(5a/6, 5a/6)
0.5Present28.216 28.008 27.912 18.086 16.909 16.614 25.448 24.514 24.342
FEM28.147 27.941 27.847 17.953 16.781 16.490 25.359 24.432 24.262
1.0Present33.454 33.183 33.029 29.828 28.494 28.059 32.750 31.692 31.416
FEM33.399 33.130 32.976 29.706 28.373 27.940 32.674 31.618 31.344
1.5Present35.777 35.495 35.330 35.058 33.697 33.236 36.002 34.924 34.629
FEM35.740 35.459 35.294 34.976 33.615 33.155 35.951 34.873 34.579
2.0Present36.816 36.533 36.365 37.398 36.033 35.567 37.457 36.375 36.077
FEM36.794 36.511 36.344 37.349 35.984 35.518 37.426 36.345 36.046
2.5Present37.282 36.998 36.831 38.447 37.081 36.615 38.109 37.027 36.728
FEM37.270 36.986 36.819 38.420 37.053 36.587 38.092 37.010 36.711
3.0Present37.492 37.208 37.040 38.918 37.552 37.085 38.401 37.319 37.020
FEM37.485 37.201 37.033 38.903 37.537 37.070 38.392 37.310 37.011
5.0Present37.655 37.371 37.203 39.286 37.920 37.453 38.630 37.548 37.249
FEM37.655 37.370 37.203 39.285 37.919 37.452 38.629 37.547 37.248
7.5Present37.662 37.378 37.210 39.301 37.935 37.468 38.639 37.557 37.258
FEM37.662 37.378 37.210 39.301 37.935 37.468 38.640 37.557 37.258
10.0Present37.662 37.378 37.210 39.301 37.935 37.468 38.639 37.557 37.258
FEM37.662 37.378 37.210 39.302 37.935 37.468 38.640 37.557 37.258
15.0Present37.662 37.378 37.210 39.301 37.935 37.468 38.639 37.558 37.258
FEM37.662 37.378 37.210 39.302 37.935 37.468 38.640 37.557 37.258
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Xu, D.; Xiong, S.; Meng, F.; Wang, B.; Li, R. An Analytic Model of Transient Heat Conduction for Bi-Layered Flexible Electronic Heaters by Symplectic Superposition. Micromachines 2022, 13, 1627. https://doi.org/10.3390/mi13101627

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Xu D, Xiong S, Meng F, Wang B, Li R. An Analytic Model of Transient Heat Conduction for Bi-Layered Flexible Electronic Heaters by Symplectic Superposition. Micromachines. 2022; 13(10):1627. https://doi.org/10.3390/mi13101627

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Xu, Dian, Sijun Xiong, Fanxing Meng, Bo Wang, and Rui Li. 2022. "An Analytic Model of Transient Heat Conduction for Bi-Layered Flexible Electronic Heaters by Symplectic Superposition" Micromachines 13, no. 10: 1627. https://doi.org/10.3390/mi13101627

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