Inverse approach for estimating boundary properties in a transient fin problem

Abstract

A solution methodology is proposed for an inverse estimation of boundary conditions from the knowledge of transient temperature data. A forward model based on prevalent time-dependent heat conduction fin equation is solved using a fully implicit finite volume method. First, the inverse model is formulated and accomplished for time-invariant heat flux at the fin base, and later extended to transient heat flux, base temperature and average heat transfer coefficient. Secondly, the Nusselt number is then replaced with Rayleigh number in the forward model to realistically estimate the base temperature, which varies with respect to time, based on in-house transient fin heat transfer experiments. This scenario further corroborates the validation of the proposed inverse approach. The experimental setup consists of a mild steel 250 Â 150 Â 6 mm 3 fin mounted centrally on an aluminium base 250 Â 150 Â 8 mm 3 plate. The base is attached to an electrical heater and insulated with glass-wool to prevent heat loss to surroundings. Five calibrated K-type thermocouples are used to measure temperature along the fin. The functional form of the unknown parameters is not known beforehand; sensitivity studies are performed to determine suitability of the estimation and location of sensors for the inverse approach. Conjugate gradient method with adjoint equation is chosen as the inverse technique and the study is performed as a numerical optimization; subsequently, the estimates show satisfactory results.

Sequential Inverse Heat Conduction Problem in OpenFOAM

“…A similar sequential method is available known as the conjugate gradient method with the adjoint equation (CGMAE). Unlike the function specification method, the thermal boundary condition is not prescribed by any functional form and it is particularly useful for non-linear, multidimensional and online problems [41][42] [43].…”