System and method for designing digital preform using cnn according to design conditions for 3d shape forging

A method of designing a digital preform using a convolutional neural network (CNN) according to design conditions for a three-dimensional (3D) shape forging as a method of designing a preform for manufacturing a 3D shape forging, the method comprising:

• generating a second preform based on features extracted by using a trained machine learning (ML) model;
• modifying a plurality of second preforms so that a shape of each of the plurality of second preforms has a smooth curve by digitizing the plurality of second preforms;
• and
• performing a secondary finite element model (FEM) analysis simulation on the plurality of modified second preforms and determining one final preform based on results of the secondary FEM analysis simulation.

A system for designing a digital preform using a convolutional neural network (CNN) according to design conditions for a three-dimensional (3D) shape forging as a system for designing a preform for manufacturing a 3D shape forging, the system comprising:

• a manufacturing process database including information on a material and forging equipment;
• a preform generator configured to extract one or more data for simulations and to generate a plurality of first preforms to which the one or more volume ratios have been applied by using an equipotential surface of Laplace's equation based on a target shape;
• a learning data generator configured to generate a learning data set by setting parameters of the simulations based on the extracted data and performing a primary finite element model (FEM) analysis simulation on the plurality of first preforms;
• a machine learning (ML) model trained by using the learning data set and configured to derive a plurality of modified second preforms for a target shape;
• a smoothing unit configured to modify the plurality of second preforms so that a shape of each of the plurality of second preforms has a smooth curve by digitizing the plurality of second preforms;
• and
• a preform selector configured to determine one final preform by performing a secondary FEM analysis simulation on the plurality of modified second preforms.