There is provided a resin molded component that is injection molded, the resin molded component including an outer surface portion on which a gate mark is formed, and an inner surface portion that is on a side opposite to the outer surface portion and has a fracture mark of resin formed.

An injection molding system includes a measuring unit to measure a movement of a line of sight of a worker observing a molded article, a line-of-sight data storage unit to store line-of-sight information representing movements of the worker's line of sight and a measurement time, an identifying unit to identify a focus area of the molded article, a focus area storage unit to store an image of the identified focus area, a molding defect type input unit to input or select a molding defect type, and a machine learning device to machine learn the molding defect type from the image of the focus area. The machine learning device inputs a type of a molding defect that has occurred in the molded article and carries out machine learning to learn and automatically recognize a feature quantity of the molding defect from the image of the focus area.

An injection molding machine and an inspection method of an injection molding machine are provided. In the injection molding machine, a control device includes a storage part which stores an inspection program indicating an operation of the injection molding machine, a control part which executes the inspection program, a detection part which acquires, as a detection data, a state of the injection molding machine when the injection molding machine is driven according to the inspection program, and a determination part which identifies a deteriorated spot of the injection molding machine based on the detection data. The detection part acquires at least two types or more of the detection data, and the determination part identifies the deteriorated spot based on a plurality of types of the detection data.

Systems and approaches for controlling an injection molding machine and a mold forming a mold cavity and being controlled according to an injection cycle. The systems and methods include analyzing a model of at least one of the injection molding machine, the mold, and a molten material to determine initial values for one or more control parameters of the injection molding machine, and executing a run of injection cycles at the injection molding machine; measuring operation of the injection molding machine during a particular injection cycle of the run of injection cycles; determining one or more operational parameters exceed a threshold; and upon determining that the one or more operational parameters exceed the threshold, adjusting the one or more control parameters for subsequent injection cycles of the run of injection cycles.

The invention relates to a moulding system (100) comprising a structure (102), a fixed mould (104) fixed to the structure (102), a first mobile mould (106) mounted with translational mobility on the structure (102) between an open position in which the first mobile mould (106) is away from the fixed mould (104) and a closed position in which the first mobile (106) is against the fixed mould (104), and a monitoring system (150) which comprises: a first reference surface (152) solidly fixed to the fixed mould (104) and parallel to the direction of translational movement (50) of the first mobile mould (106), a first sensor (154) solidly fixed to the first mobile mould (106) which comes to bear against the first reference surface (152) and is configured to measure a first distance perpendicular to the first reference surface (152), and a control unit (156) which is connected to the first sensor (154) and which is configured to detect a deviation in the first distance measured by the first sensor (154) with respect to a first tolerance band.

A state determination device acquires data related to an injection molding machine, stores a learning model obtained by learning an operation state of the injection molding machine with respect to the data, and performs estimation using the learning model based on the data. Further, the state determination device acquires a correction coefficient, which is associated with a type of the injection molding machine and equipment attached to the injection molding machine and numerically converts and corrects the estimation result with a predetermined correction function to which the acquired correction coefficient is applied.

A system includes a cavity, an injection nozzle configured to inject material into the cavity, and a plurality of sensors at sensor locations. Each of the plurality of sensors is configured to measure parameters at one of the sensor locations. The system lacks a strain gauge. The system further includes a controller configured to control a flow rate of the injection of material into the cavity. The controller is configured to receive the measured parameters and compare the received information to predetermined curves. The controller is configured to control the flow rate when the measured parameters deviate from the predetermined curves.

An injection molding machine includes a belt transmission mechanism (mold opening/closing mechanism, ejector mechanism, screw drive mechanism, injection mechanism) configured to transmit drive force from a driving shaft (driving pulley) to a driven shaft (driven pulley) by means of a belt. The injection molding machine includes: a cover covering part or entirety of the belt; and a sensor attached to the cover and configured to detect an abnormality of the belt.

A system includes a cavity, an injection nozzle configured to inject material into the cavity, and a plurality of sensors at sensor locations. Each of the plurality of sensors is configured to measure parameters at one of the sensor locations. The system lacks a strain gauge. The system further includes a controller configured to control a flow rate of the injection of material into the cavity. The controller is configured to receive the measured parameters and compare the received information to predetermined curves. The controller is configured to control the flow rate when the measured parameters deviate from the predetermined curves.

Provided is a molding support apparatus that supports production of a molded product of a composite material, and the apparatus includes: a hardware processor that calculates a Talbot feature of the molded product, based on a Talbot image acquired from an X-ray Talbot imaging apparatus that images the molded product, and identifies, using the calculated Talbot feature, an item that allows adjustment of the Talbot feature from among a plurality of types of items constituting a production process for producing the molded product.