Artificial intelligence-based injection molding system and method for generating molding condition in injection molding system

A molding condition generation method in an artificial intelligence (AI)-based injection molding system, the molding condition generation method comprising:

• extracting target standard data, which is a standard of a product, from mold information of a mold to which a molding material in a melted state is supplied;
• inputting the extracted target standard data into a pre-trained molding condition generation model to output a molding condition, wherein the molding condition specifies at least a temperature of a barrel used to supply the molding material into the mold,
• supplying the molding material to the mold under the molding condition to manufacture the product;
• measuring manufacturing standard data of the manufactured product;
• comparing the measured manufacturing standard data with the target standard data to determine whether the molding condition is appropriate;
• and
• performing, based on a determination of whether the molding condition is appropriate, one of:
• (i) when the determination is that the molding condition is appropriate, producing the manufactured product via the mold according to the molding condition determined to be appropriate;
• and
• (ii) when the determination is that the molding condition is not appropriate:
• stopping production of the manufactured product via the mold according to the molding condition determined to not be appropriate;
• and
• training the molding condition generation model using the molding condition determined to not be appropriate and the manufacturing standard data as one feedback dataset.