Swirl cooling is one of the most widely studied techniques in the field of heat transfer enhancement. This paper presents a novel, non-intrusive, and rather inexpensive inverse method to estimate the local heat transfer coefficient along the swirl chamber. First, the direct problem of two-dimensional heat conduction inside the chamber’s wall is solved numerically. The optimal number of sensors, their axial and radial positions, and other parameters concerning the inverse algorithm are determined using simulated experiments. The experimental setup is built based on these parameters. Transient temperature readings from several thermocouples embedded inside the chamber wall are fed to an inverse algorithm based on the conjugate gradient method. This algorithm takes advantage of an adjoint differential equation and the sensitivity differential equation to calculate the gradients and optimal step sizes, respectively. The local transient heat transfer coefficient is estimated for three Reynolds numbers along four straight lines parallel to the axis of the chamber.
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