Forging defect prediction apparatus, forging defect prediction method, and storage medium

A forging defect prediction method in a forging defect prediction apparatus configured to generate a molded object model in a plurality of molding processes of forging molding and predict, based on the molded object model, whether a defect phenomenon occurs when a molded object is molded by each of the molding processes of the forging molding, the forging defect prediction method comprising:

• a surface pressure calculating step of calculating, based on a stress applied to a plurality of analysis meshes configuring the molded object model, a surface pressure of each of the analysis meshes;
• a determination step of determining that a friction coefficient is Coulomb friction when the surface pressure of each of the analysis meshes is equal to or less than a predetermined threshold value and determining that the friction coefficient is shear friction when the surface pressure is greater than the predetermined threshold value;
• an analysis step of analyzing the analysis mesh while switching the friction coefficient determined by the determination step;
• and
• a prediction step of predicting whether the defect phenomenon that occurs in the molded object model occurs based on a surface angle between surfaces of adjacent ones of the analysis meshes analyzed by the analysis step.

A non-transitory storage medium storing instructions that cause a processor to execute functions, the processor being included in a forging defect prediction apparatus configured to generate a molded object model in a plurality of molding processes of forging molding and predict, based on the molded object model, whether a defect phenomenon occurs when a molded object is molded by each of the molding processes of the forging molding, the functions comprising:

• calculating, based on a stress applied to a plurality of analysis meshes configuring the molded object model, a surface pressure of each of the analysis meshes;
• determining that a friction coefficient is Coulomb friction when the surface pressure of each of the analysis meshes is equal to or less than a predetermined threshold value and determining that the friction coefficient is shear friction when the surface pressure is greater than the predetermined threshold value;
• analyzing the analysis mesh while switching the friction coefficient;
• and
• predicting whether the defect phenomenon that occurs in the molded object model occurs based on a surface angle between surfaces of adjacent ones of the analysis meshes.