Abstract: An artificial intelligence-based injection molding system in which molding conditions can be changed to manufacture fair-quality products when defective products are manufactured because of disturbances during the injection molding including an injection molding machine which performs injection molding by injecting a molding material into a mold; an injection state data acquisition unit for acquiring, during injection molding, current injection state data that includes the viscosity profile of the molding material injected into the mold and/or the injection pressure value thereof; a determination unit, which inputs the current injection state data into a molding quality maintenance model trained with predetermined target injection state data, so as to determine whether to maintain molding quality; and a molding condition setting unit for changing a preset molding condition so that the current injection state data follows the target injection state data, when the determination unit determines not to maintain t

Abstract: An artificial intelligence-based injection molding system comprising a standard data extraction unit for extracting target standard data of a product produced by a mold from mold information about the mold to which a molding material is supplied; a molding condition output unit inputting the extracted target standard data into a pre-learned molding condition generation model to output a molding condition; an injection molding device, supplying the molding material to the mold according to the molding condition to produce the product; and a determination unit, comparing production standard data of the produced product and the target standard data to determine whether the molding condition is appropriate, wherein, if the determination unit determines that the molding condition is inappropriate, the molding condition output unit generates the production standard data and the molding condition as one set of feedback data, and trains the molding condition generation model with the set of feedback data.

Abstract: An artificial intelligence-based injection molding system in which molding conditions can be changed to manufacture fair-quality products when defective products are manufactured because of disturbances during the injection molding including an injection molding machine which performs injection molding by injecting a molding material into a mold; an injection state data acquisition unit for acquiring, during injection molding, current injection state data that includes the viscosity profile of the molding material injected into the mold and/or the injection pressure value thereof; a determination unit, which inputs the current injection state data into a molding quality maintenance model trained with predetermined target injection state data, so as to determine whether to maintain molding quality; and a molding condition setting unit for changing a preset molding condition so that the current injection state data follows the target injection state data, when the determination unit determines not to maintain t

Abstract: An artificial intelligence-based injection molding system comprising a standard data extraction unit for extracting target standard data of a product produced by a mold from mold information about the mold to which a molding material is supplied; a molding condition output unit inputing the extracted target standard data into a pre-learned molding condition generation model to output a molding condition; an injection molding device, supplying the molding material to the mold according to the molding condition to produce the product; and a determination unit, comparing production standard data of the produced product and the target standard data to determine whether the molding condition is appropriate, wherein, if the determination unit determines that the molding condition is inappropriate, the molding condition output unit generates the production standard data and the molding condition as one set of feedback data, and trains the molding condition generation model with the set of feedback data.

Abstract: The injection molding machine includes a fixed platen, a moveable platen moving forward and backward by a toggle link, a base plate supporting the toggle link, a driving part for mold clamping to operate the toggle link, a driving part for mold thickness adjustment to adjust a mold thickness, and a control unit to calculate a movement distance gap before a clamping process by controlling the driving part for mold thickness adjustment to move the base plate backward and then move the base plate forward to a target movement position based on a fold amount of the toggle link, and control the driving part for mold thickness adjustment using a value obtained by deducting the movement distance gap from the fold amount of the toggle link when producing a clamp force.

Abstract: The injection molding machine includes a fixed platen, a moveable platen moving forward and backward by a toggle link, a base plate supporting the toggle link, a driving part for mold clamping to operate the toggle link, a driving part for mold thickness adjustment to adjust a mold thickness, and a control unit to calculate a movement distance gap before a clamping process by controlling the driving part for mold thickness adjustment to move the base plate backward and then move the base plate forward to a target movement position based on a fold amount of the toggle link, and control the driving part for mold thickness adjustment using a value obtained by deducting the movement distance gap from the fold amount of the toggle link when producing a clamp force.