Computer-implemented method for determining defects of an object produced using an additive manufacturing process

A computer-implemented method for the determination of defects of an object produced by means of an additive manufacturing process, wherein volume elements or spatial coordinates of the object to be produced are processed during the additive manufacturing process, wherein the method comprises:

• determining locally resolved first process data of n objects which are recorded during a first additive manufacturing process for producing the n objects, the first process data defining a process data coordinate system for each of the n objects,
• determining measurement data of the n objects by nondestructive or destructive imaging methods after the production of the n objects, the measurement data defining an object representation in a measurement data coordinate system for each of the n objects,
• determining the coordinates of at least one subregion of the measurement data coordinate system which are defect coordinates, which are assigned to a defect in the object representation;
• correlating the at least one subregion of the measurement data coordinate system comprising the defect coordinates determined with a corresponding subregion of the process data coordinate system in order to collect training data,
• training an adaptive algorithm for the determination of defect coordinates in locally resolved process data, which have been recorded during a training additive manufacturing process for producing an object, by means of the training data,
• determining locally resolved second process data which are recorded during a second additive manufacturing process for producing an object, and
• analyzing the second process data in respect of defects by means of the adaptive algorithm, wherein the adaptive algorithm is an artificial neural network.