A Hybrid Approach Using CGM and DE Algorithm for Estimation of Boundary Heat Flux in a Parallel Plate Channel

Abstract

An inverse convection problem for estimation of transient boundary heat flux of a hydrodynamically and thermally developing laminar forced convective flow in a parallel plate channel is studied. A hybrid differential evolution approach with a local optimization algorithm is proposed for this purpose. The conjugate gradient method with adjoint equation is used as a local optimization algorithm to speed up the convergence. In comparison to the conjugate gradient method or conventional differential evolution approach, the proposed hybrid differential evolution approach is found to be more accurate. A variety of cases considering locations and numbers of sensors and transient profile of boundary heat flux have been tested to see the performance of this hybrid method.