Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
In solidification, one is primarily interested in the movement of the solidliquid interface and not in the details of the internal temperature distribution. This is parallelled in many other processes of practical interest. Because of the linearity of the governing equation, one may readily obtain an integral relationship between the system variables, as expressed by the moment equations. By further introducing physically reasonable assumptions, one obtains bounding or approximate solutions, some of which are simple but accurate analytic expressions. Approximate analytic solutions to problems which cannot be solved by rigid analysis are attractive for engineering purposes because they are easily incorporated in feasibility and optimization studies on complex processes. If two such solutions can be found which not only approximate but also bound the unknown true result, then a numerical or experimental verification becomes redundant as long as the relative difference between the two bounds is sufficiently small. The approach thus provides a built-in error criterion.When trying a systematic attack on certain classes of such problems, one immediately encounters a difficulty. Tight and hence useful bounds often require specific assumptions concerning the physical rather than the mathematical situation. In consequence, the results will not always be of the desired generality. For this reason, the present study deals only with linear diffusion types of problems containing a nonlinear boundary condition.More specifically, this paper considers the general problem of unidirectional solidification subject to a known heat flux from the melt and a boundary condition of the third kind (sometimes termed Newton's cooling) at the cold slab surface. Simplified versions of this problem have received continuing attention in the literature, but to our knowledge the above problem has only been dealt with by a few approximate methods, most of which require numerical evaluation and are difficult to assess in their accuracy. Our aim is to generate accurate analytic bounds for the general problem from which the simpler problems treated previously can be extracted as limiting cases. CONCLUSIONS AND SIGNIFICANCEUsing various types of moments of the governing diffusion equation, one obtains integral relations which can be integrated analytically once suitable approximations to the integrands have been introduced. However, instead of mere approximations, we insert rigid inequalities so that after integration we have bounding solutions for the solidification time as a function of the solid thickness and the system parameters. These inequalities are suggested by physical reasoning, and it is obvious that the tighter the inequality the better will be the bound but the more involved may be the final integration. The limit is reached when we have to resort to numerical integration of the bounding equation.By comparison with previous numerical results, it is shown that analytic results can be generated which remain sufficiently accurate up to quit...
In solidification, one is primarily interested in the movement of the solidliquid interface and not in the details of the internal temperature distribution. This is parallelled in many other processes of practical interest. Because of the linearity of the governing equation, one may readily obtain an integral relationship between the system variables, as expressed by the moment equations. By further introducing physically reasonable assumptions, one obtains bounding or approximate solutions, some of which are simple but accurate analytic expressions. Approximate analytic solutions to problems which cannot be solved by rigid analysis are attractive for engineering purposes because they are easily incorporated in feasibility and optimization studies on complex processes. If two such solutions can be found which not only approximate but also bound the unknown true result, then a numerical or experimental verification becomes redundant as long as the relative difference between the two bounds is sufficiently small. The approach thus provides a built-in error criterion.When trying a systematic attack on certain classes of such problems, one immediately encounters a difficulty. Tight and hence useful bounds often require specific assumptions concerning the physical rather than the mathematical situation. In consequence, the results will not always be of the desired generality. For this reason, the present study deals only with linear diffusion types of problems containing a nonlinear boundary condition.More specifically, this paper considers the general problem of unidirectional solidification subject to a known heat flux from the melt and a boundary condition of the third kind (sometimes termed Newton's cooling) at the cold slab surface. Simplified versions of this problem have received continuing attention in the literature, but to our knowledge the above problem has only been dealt with by a few approximate methods, most of which require numerical evaluation and are difficult to assess in their accuracy. Our aim is to generate accurate analytic bounds for the general problem from which the simpler problems treated previously can be extracted as limiting cases. CONCLUSIONS AND SIGNIFICANCEUsing various types of moments of the governing diffusion equation, one obtains integral relations which can be integrated analytically once suitable approximations to the integrands have been introduced. However, instead of mere approximations, we insert rigid inequalities so that after integration we have bounding solutions for the solidification time as a function of the solid thickness and the system parameters. These inequalities are suggested by physical reasoning, and it is obvious that the tighter the inequality the better will be the bound but the more involved may be the final integration. The limit is reached when we have to resort to numerical integration of the bounding equation.By comparison with previous numerical results, it is shown that analytic results can be generated which remain sufficiently accurate up to quit...
SUMMARYThis paper describes and compares several e ective methods for the numerical solution of onedimensional Stefan problems. It is not intended to be an exhaustive review but is restricted to a range of problems and geometries including melting in the half-plane, outward cylindrical solidiÿcation and outward spherical solidiÿcation. From the limited comparison of numerical results obtained, some helpful comments can be made which may prove valuable in the future use of these methods.
The two-phase Stefan problems with phase formation and depletion are special cases of moving boundary problems with interest in science and industry. In this work, we study a solidification problem, introducing a front-fixing transformation. The resulting nonlinear partial differential system involves singularities, both at the beginning of the freezing process and when the depletion is complete, that are treated with special attention in the numerical modelling. The problem is decomposed in three stages, in which implicit and explicit finite difference schemes are used. Numerical analysis reveals qualitative properties of the numerical solution spatial monotonicity of both solid and liquid temperatures and the evolution of the solidification front. Numerical experiments illustrate the behaviour of the temperatures profiles with time, as well as the dynamics of the solidification front.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.