This work applies topology optimisation to the design of passive coolers for light-emitting diode (LED) lamps. The heat sinks are cooled by the natural convection currents arising from the temperature difference between the LED lamp and the surrounding air. A large scale parallel computational framework [1] is used to perform topology optimisation for minimising the temperature of the LED package subjected to highly convection-dominated heat transfer. The governing equations are the steady-state incompressible Navier-Stokes equations coupled to the thermal convection-diffusion equation through the Bousinessq approximation. The fully coupled non-linear multiphysics system is discretised using stabilised trilinear equal-order finite elements and solved using Newtons method and a multigrid-preconditioned iterative method. Topology optimisation is carried out using the density-based approach as detailed in [2] for two-dimensional natural convection problems. Despite the methodology being the same, the extension to three-dimensions has been far from trivial in the sense of the vast growth in computational workload. The fully coupled non-linear system of equations at each design iteration is solved using a fully parallelised damped Newton-Krylov method, consisting of FGMRES in combination with a Galerkin-projection geometric multigrid (GMG) preconditioner. Although this is known not to be an optimal solver for non-elliptic systems of equations, the observed performance is very good and allows for the optimisation of large scale problems, for small to medium Grashof number flows, in a reasonable amount of time. The optimisation results show interesting features that are currently being incorporated into industrial designs for enhanced passive cooling abilities.
[1]
K. Svanberg.
The method of moving asymptotes—a new method for structural optimization
,
1987
.
[2]
J. Petersson,et al.
Topology optimization of fluids in Stokes flow
,
2003
.
[3]
O. Sigmund,et al.
Filters in topology optimization based on Helmholtz‐type differential equations
,
2011
.
[4]
M. Bendsøe,et al.
Topology Optimization: "Theory, Methods, And Applications"
,
2011
.
[5]
O. Sigmund,et al.
Topology optimisation for natural convection problems
,
2014,
1408.2102.
[6]
Boyan Stefanov Lazarov,et al.
Topology optimization using PETSc: An easy-to-use, fully parallel, open source topology optimization framework
,
2015
.