The aim of this study is to investigate the effect of sensor location on the solution of inverse Stefan problems. A unidirectional conduction driven solidification process is considered. The enthalpy formulation along with conjugate gradient method is used to simulate the direct problem and minimize the objective function. The sum of square deviation between the measured and the calculated temperatures at sensor location is defined as objective function. Measured temperatures are simulated using direct solver for triangular and step shape boundary heat fluxes. Different sensor locations in the spatial extent of the computational domain are selected. The results show that as the sensor is taken further from the active boundary (the boundary which heat flux applied on it) the error in reconstructed heat flux becomes larger and vice versa. Also the effect of noisy input data is investigated which indicate that the solution is stable even in high noise levels in measured data.

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