Generating optimized process variable values and control data for an additive construction process

A method for creating an AI-based optimization unit, to determine optimized process variable values for a plurality of different types of requirement data, the method comprising:

• generating optimized process variable values for an additive manufacturing process of a manufacturing product from a plurality of layers of a construction material by:
• providing requirement data of the manufacturing product;
• performing an optimization process in order to determine the optimized process variable values while taking into consideration the requirement data, wherein at least one optimized scanning direction distribution for at least one region of the manufacturing product is determined as an optimized process variable value using an AI-based optimization unit;
• and
• providing the optimized process variable values;
• training at least one first AI-based optimization unit, which determines optimized process variable values of a first type of process variable based on a first type of requirement data;
• and
• training at least one second AI-based optimization unit, which determines optimized process variable values of a second type of process variable based on the first type of requirement data or which determines optimized process variable values of the first type of process variable and/or optimized process variable values of the second type of process variable based on a second type of requirement data;
• and
• creating and an AI-based combination optimization unit is then created using a training method in which at least the first and second AI-based optimization units are coupled together to monitor the training of the AI-based combination optimization unit.