Visually detecting irregularities on components is a complex process, influenced by physical, technical, and human factors. Current standards mainly focus on illuminance, demanding highest accuracy for it, without providing scientific justification. This research investigates the influence of illuminance and human characteristics (e.g., age, experience) on the detection rate of crack-like indications on forged parts. Therefore, illuminance was varied in three steps (200 lx, 350 lx, 500 lx). human characteristics were recorded by using questionnaires.
No significant influence of illuminance on the detection rate could be proven. However, some correlations between human characteristics (age, specific experience with the component) and the detection rate were found and hint to a more complex interplay of several human factors.
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