Optimization-based method for conjugate heat transfer problems
By: Liang Fang, Xiandong Liu, Lei Zhang
Potential Business Impact:
Helps engineers design better cooling systems.
We propose a numerical approach for solving conjugate heat transfer problems using the finite volume method. This approach combines a semi-implicit scheme for fluid flow, governed by the incompressible Navier-Stokes equations, with an optimization-based approach for heat transfer across the fluid-solid interface. In the semi-implicit method, the convective term in the momentum equation is treated explicitly, ensuring computational efficiency, while maintaining stability when a CFL condition involving fluid velocity is satisfied. Heat exchange between the fluid and solid domains is formulated as a constrained optimization problem, which is efficiently solved using a sequential quadratic programming method. Numerical results are presented to demonstrate the effectiveness and performance of the proposed approach.
Similar Papers
Convergence Analysis of Virtual Element Methods for the Sobolev Equation with Convection
Numerical Analysis
Solves hard math problems faster on computers.
A fully variational numerical method for structural topology optimization based on a Cahn-Hilliard model
Numerical Analysis
Designs stronger objects using less material.
A structure-preserving numerical method for quasi-incompressible Navier-Stokes-Maxwell-Stefan systems
Numerical Analysis
Simulates fluids and electricity moving together accurately.