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Conjugate heat transfer for the unsteady compressible Navier–Stokes equations using a multi-block coupling
Linköping University, Department of Mathematics, Computational Mathematics. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-7972-6183
Department of Information Technology, Uppsala University, SE-751 05 Uppsala, Sweden.
2013 (English)In: Computers & Fluids, ISSN 0045-7930, E-ISSN 1879-0747, Vol. 72, 20-29 p.Article in journal (Refereed) Published
Abstract [en]

This paper deals with conjugate heat transfer problems for the time-dependent compressible Navier–Stokes equations. One way to model conjugate heat transfer is to couple the Navier–Stokes equations in the fluid with the heat equation in the solid. This requires two different physics solvers. Another way is to let the Navier–Stokes equations govern the heat transfer in both the solid and in the fluid. This simplifies calculations since the same physics solver can be used everywhere.

We show by energy estimates that the continuous problem is well-posed when imposing continuity of temperature and heat fluxes by using a modified L2-equivalent norm. The equations are discretized using finite difference on summation-by-parts form with boundary- and interface conditions imposed weakly by the simultaneous approximation term. It is proven that the scheme is energy stable in the modified norm for any order of accuracy.

We also show what is required for obtaining the same solution as when the unsteady compressible Navier–Stokes equations are coupled to the heat equation. The differences between the two coupling techniques are discussed theoretically as well as studied numerically, and it is shown that they are indeed small.

Place, publisher, year, edition, pages
Elsevier, 2013. Vol. 72, 20-29 p.
Keyword [en]
Conjugate heat transfer; Navier–Stokes compressible; Unsteady; Heat equation; Finite difference; Summation-by-parts; Weak interface conditions; Weak multi-block conditions; Stability; High order accuracy
National Category
Computational Mathematics
URN: urn:nbn:se:liu:diva-86977DOI: 10.1016/j.compfluid.2012.11.018ISI: 000314442900002OAI: diva2:583996
Available from: 2013-01-08 Created: 2013-01-08 Last updated: 2013-08-30

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