Injection molding assistance system, injection molding assistance method, injection molding machine, and recording medium

An injection molding assistance method for an injection molding machine controlled according to set molding conditions, comprising:

• a step of receiving trial molding conditions, article information, and molding defect types;
• a step of determining a part of molding conditions to be learned as design variables based on the article information and the molding defect types;
• a step of generating a plurality of learning data in which the design variables are uniformly distributed in a variable space constituted by the design variables;
• a step of causing the injection molding machine to prototype a molded product according to the trial molding conditions that reflect the learning data;
• a step of receiving an evaluation for the molded product;
• and
• a step of generating learned data for molding a molded product with desired quality by being reflected in the molding conditions based at least on the learning data and the evaluation.

An injection molding machine controlled according to molding conditions, comprising:

• an information receiving unit, receiving trial molding conditions, article information, and molding defect types;
• a design variable determination unit, determining a part of molding conditions to be learned among the molding conditions as design variables based on the article information and the molding defect types;
• a learning data generating unit, generating a plurality of learning data in which the design variables are uniformly distributed in a variable space constituted by the design variables;
• a molding unit, prototyping a molded product according to molding conditions obtained by reflecting the learning data in the trial molding conditions;
• an evaluation receiving unit, receiving an evaluation for the molded product;
• and
• a learned data generating unit, generating learned data for molding an article with desired quality by being reflected in the trial molding conditions based at least on the learning data and the evaluation.