Abstract: Provided is a method for detecting defects, in particular cracks and/or pores, in a component, in particular in a component of a turbomachine, preferably in a component of an engine, the method including the following steps: applying penetrant to at least a sub-region of the component such that the penetrant penetrates into any defects, in particular cracks and/or pores, present in the component; cleaning the surface of the component of penetrant that has not penetrated into defects, in particular cracks and/or pores, of the component; capturing an image, in particular a complete image, of the component; inputting the captured image into a machine learning system trained to detect defects, in particular cracks and/or pores; and detecting defects, in particular cracks and/or pores, in the component by machine learning system on the basis of light emitted and/or reflected by the penetrant in the defects, in particular cracks and/or pores.

Abstract: A method is for cutting machining of a workpiece using a laser beam. The method includes (a) directing the focused laser beam onto a surface of the workpiece for a formation of a kerf; and (b) removing a material exclusively by ablation. The laser beam has a power density in a focal point of at least 1*107 W/cm2. The laser beam has a feed speed taking account of an absorption capability of the material to be removed of at least 150 m/min up to a maximum of 1200 m/min.

Abstract: A method is for cutting machining of a workpiece using a laser beam. The method includes (a) directing the focused laser beam onto a surface of the workpiece for a formation of a kerf; and (b) removing a material exclusively by ablation. The laser beam has a power density in a focal point of at least 1*107 W/cm2. The laser beam has a feed speed taking account of an absorption capability of the material to be removed of at least 150 m/min up to a maximum of 1200 m/min.