Abstract: Disclosed is a method of determining a quality indicator of an object that has been manufactured by layer-wise additive manufacturing. The method includes providing a first dataset that is assigned to a process monitoring device, detecting a relative frequency of occurrence of a process irregularity in a layer and of assigning a grade indicator value to the solidified object cross-section in a layer according to the detected relative frequency, generating a second dataset, in which a grade indicator value is assigned to the object cross-section in each of said several layers following upon one another, and determining a quality indicator by using the second dataset (or several further datasets).

Abstract: Disclosed is a method of heat-treating a titanium alloy part resulting from an additive manufacturing procedure, including arranging the titanium alloy part in an oven; heating to a first annealing temperature; maintaining the first annealing temperature for a first annealing duration; heating to a second annealing temperature, wherein the second annealing temperature exceeds the first annealing temperature; and subsequently cooling the titanium alloy part to room temperature. Further disclosed is a titanium alloy part that has been heat-treated using such a method.

Abstract: Disclosed is a method of determining a quality indicator of an object that has been manufactured by layer-wise additive manufacturing . The method includes providing a first dataset that is assigned to a process monitoring device, detecting a relative frequency of occurrence of a process irregularity in a layer and of assigning a grade indicator value to the solidified object cross-section in a layer according to the detected relative frequency, generating a second dataset, in which a grade indicator value is assigned to the object cross-section in each of said several layers following upon one another, and determining a quality indicator by using the second dataset (or several further datasets).