Abstract
Our research on applied mathematics is in line with the research scope of the journal. The phase-field model is applied to simulate the material and other areas. A phase-field model describing the non-isothermal solidification of an ideal multi-component alloy system is proposed in this paper. The time and space variation of a three-phase-field function and the governing equations of the temperature field are established. The global existence of weak solutions for three-dimensional parabolic differential equations is proved by the Faedo–Galerkin method. The existence of a maximum theorem is also extensively studied.
Keywords:
alloys; nonlinear parabolic equation; existence of solutions; evolution of phase boundaries; maximum theorem MSC:
35K51; 74N20
1. Introduction
Our research on applied mathematics is in line with the research scope of the journal. A multi-component alloy system is a kind of important material, especially in technology applications and technology. Therefore, it plays an important role in the formation of mechanical properties and the microstructure of materials. The phase-field model is studied in solid materials (cf. [1]). The multi-component in the alloy combines with the appearance of multi-phase, resulting in different phase transformations and different types of solidification. The solidification of binary alloys is the basis of studying the basic principles of the solidification process. The solidification of a multi-component system can be analyzed by the solidification characteristics of a binary system. In recent years, the multi-phase field (MPF) method has attracted extensive attention. This model is a generalization of Steinbach et al. (cf. [2]), which describes isothermal phase transitions of certain kinds of alloys. The multi-phase field method has been applied to the computer simulation of microstructure evolution (cf. [3,4]) and it was applied to simulate the dendrite solidification process in Fe-Cr-Ni-Mo-C (cf. [5]). It was also applied to the computer simulation of ice-formation in sea-water (cf. [6]). The classic solutions are proved in [7], where the authors set . In this paper, we study the non-isothermal solidification of ideal multi-component and multi-phase alloy systems. We set
Thus, we allow a temperature, which is assumed to be a priori given the free energy functional . This means that the model not only considers the phase transformation caused by the difference in solute, but also considers the phase transformation caused by temperature change.
We studied a system of partial differential equations simulating the evolution of three-phase boundary problems in seawater, ice, and snow, and proved that the system had a global solution in the case of a one-dimensional initial boundary value problem (cf. [8]), where we cannot especially have .
In this paper we prove the global solution by the Galerkin method and we conclude a maximum theorem.
The order parameter represents the solidification state of the alloy, which is equal to 0 in the solid phase and 1 in the liquid phase. The model is a generalization of the one introduced by Steinbach et al. in [2], for isothermal solidification/melting processes of certain kinds of alloys. Our model must satisfy the following partial differential equations:
for . The boundary conditions and initial conditions are as follows:
This system satisfies the second law of thermodynamics. Here, is a bounded open domain. The function is the temperature. The phase-field functions u, v, and w are the fractions of two possible solid and liquid crystal states. For 3 phases we obtain the constraint . For physical reasons, , , , , , , D are positive. In the free energy
where
we choose for , which represent the double well potential.
satisfies
where e is the local enthalpy and are the latent heat of fusion.
It is easy to see in the case of two-phase systems, , or , or , and , or , or .
We write , where is a positive constant, and define
for . Since we must have and , the model can be reduced to the following:
The boundary and initial conditions are therefore
Definition 1.
Theorem 1.
Notation. In the following sections, we use the letter to indicate that it will change with the line. The -norm is denoted by .
The outline of this paper is as follows. In Section 2, we will prove the existence of solutions to the initial boundary-value problem of the nonlinear Equations (7)–(12) by the Faedo–Galerkin method.
In Section 3 we shall show that a maximum theorem holds.
2. Existence of Solutions
In this section, we construct the approximate solutions by the Galerkin method and derive the a priori estimates; then, we propose to send and to show that a subsequence of our solutions converges to a weak solution of problems (7)–(12).
2.1. Construction of Approximate Solutions
Let be a basis in and be a solution to the eigen-problem
For a positive integer m, we will look for approximate solutions of the form
where we select the coefficients so that
and
where . (22) and (24) comprise a system of nonlinear ordinary differential equations, and the nonlinear term is locally Lipschitz continuous.
We introduce the vectors
and denote the nonlinear terms. Thus, we obtain a system of ordinal differential equations.
where
Then, if we choose a vector that is not equal to zero, there holds for ; otherwise, invoking that are linearly independent, we obtain . B is a positive-definite matrix.
For the initial data, we make a smooth approximation
According to the existence theorem of local solutions to ordinary differential equations, there exist the solutions for a.e. . We extend . Then, we obtain the global solutions. However, we need to show that the a priori estimates hold.
2.2. A Priori Estimates
Theorem 2.
There exists a constant C, depending on , such that
for where are suitably small.
Proof.
Multiplying (22)–(24) by , and , respectively, summing up over , integrating over , and adding and recalling (19), we find
where , .
By using the Gronwall inequality, we obtain
Multiplying (22) and (23) by and , respectively, summing up over , then formally integrating over and adding them, we obtain
where , , , , , .
By using the Gronwall inequality, we obtain
□
2.3. Existence of Weak Solutions
Next we pass to limits as , to build the weak solutions to the initial boundary-value problems (7)–(12).
Theorem 3
(Aubin–Lions). Let be a normed linear space embedded compactly into another normed linear space B, which is continuously embedded into a Hausdorff locally convex space , and . If , the sequence converges weakly to v in , and is bounded in , then converges to v strongly in .
Lemma 1.
Let be an open set in . Suppose functions are in for any given , which satisfy
Then converges to g weakly in .
Theorem 3 is a general version of the Aubin–Lions lemma valid under the weak assumption . This version, which we need here, is proved in [9]. A proof of Lemma 1 can be found in [9].
Lemma 2.
Problems (7)–(12) have at least one weak solution in the sense of Definition 1.1. Each of the weak solutions satisfies and .
Proof of Lemma 2.
According to the energy estimates (34), we see sequences , are bounded in ,
, respectively, and are bounded in , respectively.
Consequently there exist subsequences , , and functions ,
, with ,
, such that
There exist functions such that
It remains to show that . To this end, we show first that in by applying Theorem 3. To apply this theorem, have estimates , , .
Applying Theorem 3 with , and we obtain
Therefore, we choose the other sequences from these sequences and denote them in the same way. They converge almost everywhere in . This implies the convergence almost everywhere in . Using the embedding and applying Lemma 1, we obtain . Then, we obtain the others in the same way. Equation (15) follows from these relations if we show that
for . Now, the relation (42) follows from (31), the relation (43) is a consequence of , the relation (44) is consequence of , the relation (45) is a consequence of , in , the relation (46) is a consequence of and in , and the relation (47) is obtained from and in . We obtain other terms in the same way as above. □
2.4. Uniqueness
In this subsection we show uniqueness of the solution of that was obtained in Section 2.2 and Section 2.3.
Theorem 4.
Let , be given functions. Let be weak solutions of problems(7)–(12)with , and , . Then
where and . The constant C is independent of .
Proof.
The result equation of the difference of (7) for and is multiplied by . We obtain the others in the same way. Then, , and satisfy the inequality
We use the Gronwall inequality, which yields
In particular, for , we obtain the uniqueness of the solution.
3. A Maximum Theorem
If we want the model to have physical meaning, we must prove that the order parameters still change in the interval during its evolution. We will study a maximum theorem.
Theorem 5.
Let be the solution of problems(7)–(12)and for each . Then such solution satisfies and for each and .
Proof.
We only analyze Equation (7); Equation (8) is treated in a similar way. To prove that , let us define
so that and satisfies boundary and initial conditions
We multiply (7) by and integrate in to obtain
Using Gronwall’ s lemma, we obtain that a.e. in for all , and thus a.e. in . We obtain in a similar way as earlier that , a.e. in . Using a similar argument to prove that , we define
so that and satisfies boundary and initial conditions
Multiplying (1)–(3) by , and , respectively, integrating in , and adding the resulting equations, we have
By using Gronwall’s lemma, we obtain that , , a.e. in for all , and thus , , a.e. in . □
Author Contributions
Methodology, Y.T.; Writing—original draft, W.G. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by Natural Science Foundation of Anhui Province under grant No. 2108085MA04.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Acknowledgments
The author gratefully acknowledges the help of Peicheng Zhu, Shanghai University. He has offered valuable suggestions in this study. The author would like to deeply thank all the reviewers for their insightful and constructive comments. This paper has been partly supported by the Grant 2108085MA04 of the key NSF of Anhui Province, China.
Conflicts of Interest
The authors declare no conflict of interest.
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