A method of classifying a temperature control branch of a molding toolincludes producing molded parts in cycles by a portion of the molding tool by introducing heat into the molding tool, and/or cyclically activating a heating device, with introduction of heat into the molding tool, conveying temperature control medium through the temperature control branch of the molding tool to dissipate the introduced heat, measuring a temporal branch temperature profile of the temperature control medium in the temperature control branch over several production cycles, analyzing a curve behavior of the branch temperature profile and/or of a variable derived from the branch temperature profile, in particular of a branch heat flow, over several production cycles, and sorting the temperature control branch into one of at least two categories, according to greater and/or smaller influence on the heat budget of the portion of the molding tool, on the basis of the curve behavior.

A method for determining optimized shape data representing a shape of a molded workpiece formed from a molded material or/and a mold cavity of a molding tool, wherein the molded material hardens depending on at least one solidification parameter, the method including: a) providing shape data representing a shape of the workpiece or/and cavity, b) providing material data representing the molded material, c) providing molding process data representing the molding process, d) providing tool data representing the tool embodying the cavity, e) determining predictive shape data based on initial model data comprising the at least one solidification parameter and data provided in steps a), b), c), and d) simulating the molding process, f) generating optimized predictive shape data as the optimized shape data based on at least predictive shape data determined in step e) and based on first initial AI data comprising the at least one solidification parameter and data provided in steps a, b), c), and d), by means of an artificial neural simulation optimization network trained to optimize predictive shape data.

A method of classifying a temperature control branch of a molding tool includes producing molded parts in cycles by a portion of the molding tool by introducing heat into the molding tool, and/or cyclically activating a heating device, with introduction of heat into the molding tool, conveying temperature control medium through the temperature control branch of the molding tool to dissipate the introduced heat, measuring a temporal branch temperature profile of the temperature control medium in the temperature control branch over several production cycles, analyzing a curve behavior of the branch temperature profile and/or of a variable derived from the branch temperature profile, in particular of a branch heat flow, over several production cycles, and sorting the temperature control branch into one of at least two categories, according to greater and/or smaller influence on the heat budget of the portion of the molding tool, on the basis of the curve behavior.