Porosity, like air bubbles in the casting process, poses the greatest challenge as its presence affects the mechanical properties of the cast. Various methods are employed to detect porosity, some of which involve human factor in decision-making. The latest and most advanced method is the use of computer tomography, which spatially, quantitatively, and comprehensively reveals irregularities within the material itself, something that was often impossible or insufficiently defined in the past, or unattainable for practical purposes. In the master's thesis, the theoretical part first introduces generational and qualitatively different methods of detecting porosity. The theoretical foundations of statistical control of the process and methods of quality costs are presented. Subsequently, the experimental part presents the measurement environment and methods for measuring porosity on a representative casting. Porosity measurements are conducted using X-ray, which involves human factor, and a CT measuring machine. The results then present an analysis of the measurements and the influence of the measurement method on the quality of measurement data. The conclusion of the thesis also includes a comparison of the quality cost analysis for each method of measuring porosity.
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