12  Conjugate Heat Transfer — Flat Plate Verification

Interface temperature and Nusselt number against the Vynnycky (1998) closed-form conjugate solution, 2D/3D and conformal/non-conformal interfaces

12.1 Run Provenance and Artifacts

Item Value
Wake CFD baseline version 0.22.0
Solver DBNS
Compute device GPU (NVIDIA RTX A6000)
Parallel execution 1 MPI rank
Arithmetic precision FP64
Run date 2026-08-29
Note

Results depend on the solver build that produced them. Read every figure in this report together with the version and date above — re-running the same input on a later build may give different numbers.

12.1.1 Downloadable Files

Not available: standalone input decks and solver result files have not yet been published for download.

12.2 Verification Objective

This case checks Wake CFD’s conjugate heat transfer (CHT) capability — coupled fluid-solid heat conduction with continuity of temperature and heat flux at the interface — against the closed-form asymptotic solution of Vynnycky, Kimura, Kanev, and Pop (1998) for forced convection over a conducting flat plate. It verifies Wake CFD for:

  • interface-averaged temperature (θ̄_b) and Nusselt number (N̄u) against the analytical correlation
  • consistency between four independent discretization paths (2D/3D geometry, conformal/non-conformal fluid-solid interface mesh)

12.3 Reference Solution and Data

Item Setting
Reference Vynnycky, Kimura, Kanev, and Pop (1998), closed-form asymptotic solution

12.4 Simulation Conditions

Item Setting
Geometry Conducting solid slab (x∈[-0.5,0.5], y∈[-0.5,0]) beneath a fluid domain (x∈[-1.0,2.0], y∈[0,1.0]); interface at y=0, |x|≤0.5
Analysis Steady, laminar, compressible DBNS with conjugate fluid-solid coupling
Re (plate-length based) 500
Pr 0.72
Conductivity ratio k̄ = k_solid/k_fluid 5
Thickness ratio λ = a/b 0.5
Freestream M = 0.1, T_∞ = 300 K

Conformal vs. non-conformal 2D mesh: full domain and interface close-up (conformal interface: 101 matching nodes each side; non-conformal: 101 fluid vs. 67 solid nodes, GGI-interpolated)

12.5 Mesh

Item Setting
Mesh variants 2D and 3D (one-cell spanwise extrusion + symmetry), each with a conformal (matching interface node count) and non-conformal (mismatched, GGI-interpolated) fluid-solid interface

12.6 Boundary and Initial Conditions

Item Setting
Solid bottom face Isothermal, T_c = 330 K
Solid side faces Adiabatic
Interface coupling Temperature continuity (θ_solid = θ_fluid) and heat-flux continuity (∂θ_fluid/∂y = k̄·∂θ_solid/∂y)

Initial field: Not reported.

12.7 Numerical Methods

Item Setting
Convective scheme SLAU
Time integration Implicit, CFL constant 5.0
Convergence criterion residual_reduction = 8 orders (deep convergence; confirmed against a 5,000-iteration snapshot with no meaningful difference)

12.8 Results

At the given conditions (Re=500, Pr=0.72, k̄=5, λ=0.5), the analytical solution gives μ = λ·Pr^(1/3)·Re^(1/2) / (1.506·k̄) ≈ 1.331, θ̄_b = 1/(1+μ) ≈ 0.429, and N̄u = (k̄/λ)·μ/(1+μ) ≈ 5.71.

Case Converged iteration θ̄_b (area-weighted) vs. analytical (0.429) N̄u vs. analytical (5.71)
2D conformal 10,637 0.4223 −1.6% 5.7738 +1.1%
2D non-conformal 9,408 0.4251 −0.9% 5.8122 +1.8%
3D conformal 13,023 0.4223 −1.6% 5.7738 +1.1%
3D non-conformal (GGI) 11,873 0.4251 −0.9% 5.8122 +1.8%

All four discretization paths agree with the analytical correlation within 2%, inside the correlation’s own stated approximation error. The 2D and 3D results match to four decimal places (expected, since the 3D case is a one-cell spanwise extrusion of the same physical problem), which also confirms that the GGI interpolation used at the non-conformal interface does not degrade accuracy relative to the conformal case (difference between conformal and non-conformal results is about 0.3 percentage points).

Coupled fluid-solid temperature field, conformal 2D case, deep-converged

The local (as opposed to area-averaged) interface temperature distribution θ_b(x) was also compared against a separate constant-heat-flux asymptotic approximation from the same reference (valid, per the reference’s own statement, only for Pr≫1):

Local interface temperature distribution θ_b(x): Wake CFD (all four discretizations) versus the constant-flux approximation evaluated at Pr=0.72

The area-averaged quantities (θ̄_b, N̄u) match well, but the local shape of θ_b(x) differs clearly from the constant-flux approximation. This is expected: that specific local approximation is derived and validated by its authors only for Pr≫1, and this case runs at Pr=0.72 — outside its stated range of applicability. It is not evidence against the CHT implementation; it is a direct measurement of that particular approximation’s scope of validity at a Pr value the original reference does not cover, as distinct from the general-Pr area-averaged correlation used above.

12.9 Conclusions and Applicable Scope

  • Wake CFD’s conjugate heat transfer implementation reproduces the Vynnycky (1998) area-averaged interface temperature and Nusselt number within 2% across four independent discretization paths (2D/3D, conformal/non-conformal interface).
  • The non-conformal (GGI-interpolated) interface path introduces no measurable accuracy penalty relative to the conformal path for this case.
  • This result applies to steady, laminar, incompressible-regime forced convection over a flat conducting slab at one Reynolds number, Prandtl number, and conductivity/thickness ratio. It does not establish CHT accuracy for turbulent flow, unsteady conjugate problems, or other property ratios.
  • The local interface temperature distribution does not match a Pr≫1-specific asymptotic approximation at this case’s Pr=0.72 — consistent with that approximation’s own stated range of validity, not a discrepancy in the area-averaged result.

12.10 References

  • Vynnycky, M., Kimura, S., Kanev, K., and Pop, I., “Forced Convection Heat Transfer from a Flat Plate: The Conjugate Problem,” International Journal of Heat and Mass Transfer, 41(1), 1998, pp. 45–59.