Disclosed is a method of adjusting a motion profile of a shooting pot plunger for use in a molding system, the shooting pot plunger slidably movable within a shooting pot cavity, the method comprising: sensing a characteristic at a predetermined location in an injection circuit of the molding system; determining that the sensed characteristic is outside of a threshold range; adjusting the motion profile of the shooting pot plunger to account for determining that the sensed characteristic is outside of the threshold range; and storing the adjusted motion profile in a memory.

An abnormality detection device for detecting an abnormality of a movable part provided in an injection molding machine includes: a through hole formed in the movable part or in an adjacent member arranged adjacent to the movable part; and a microphone installed inside the through hole to collect sound generated by the movement of the movable part.

A plastic injection-moulding machine includes an injection unit for processing a plastic mass, and a closing unit having an injection-moulding tool with a cavity, into which plastic mass is injected by the injection unit to produce a moulded part. A machine controller controls the injection unit and the closing unit according to a machine program running on the machine controller. A user interface device communicates with the machine controller and has a screen for displaying text information and/or image information. The machine controller includes a data memory for storing the text information and/or image information in the form of data sets, and a process generator for manually assigning each state parameter of the plastic injection-moulding machine a data set. The process generator automatically writes the data set into the data memory or automatically reads out the data set for display on the screen in accordance with the associated state parameter.

A manufacturing method of a semiconductor device includes the steps of: preparing a lead frame; mounting a plurality of semiconductor chips on the lead frame; and sealing one portion of the lead frame with a sealing resin. The resin-sealing step includes the step of: disposing the lead frame, molds having main surfaces on which cavity parts are formed, the lead frame being disposed on the main surface of the heated molds; injecting a resin in the main surfaces of the heated molds so as to seal the one portion of the lead frame with the sealing resin; and taking out the lead frame from the heated molds. In the taking-out step, while the lead frame is taken out, the main surfaces of the molds are inspected by using a sensor, and the sensor is cooled and formed integrally with an arm used for taking out the lead frame.

A state determination apparatus for determining a state related to an abnormality of an injection molding machine based on an operation state of the injection molding machine includes a machine learning apparatus for learning the state related to the abnormality of the injection molding machine. The machine learning apparatus observes, as a state variable that represents a current state of an environment, injection data that indicates the operation state of the injection molding machine, acquires label data that indicates the state related to the abnormality of the injection molding machine, and performs learning by associating the observed state variable with the acquired label data.

A molding machine management system includes a molding machine molding a plurality of molded products using a molding mold having a plurality of cavities, a camera capturing a plurality of first images of the plurality of molded products, respectively, and an inspection device inspecting the plurality of molded products. The plurality of first images, a second image of a parting surface of the molding mold, a plurality of inspection results corresponding to the plurality of molded products, and information on the plurality of cavities are displayed on the same screen of a display. The plurality of molded products in the plurality of first images are respectively displayed to overlap positions of corresponding cavities of the plurality of cavities of the parting surface in the second image.

A control method for an injection molding system including a first housing including a first accommodation space having an injection molding machine arranged therein and a first window, a second housing coupled to the first housing and having a second accommodation space having a robot disposed therein and a second window, the robot performs an operation with respect to a molded article molded by the injection molding machine, and a control device that controls driving of the injection molding machine and the robot, the control method includes in a first state in which the first window and the second window are closed, driving the injection molding machine in a first drive mode, in a second state in which the first window is open, stopping the injection molding machine, and in a third state in which the second window is open, driving the injection molding machine in a second drive mode.

Physical quantity data indicating the state of a molded product produced by changing a first molding condition parameter set in a molding machine such that the quality of the molded product is degraded or the state of the molding machine is acquired, physical quantity data indicating the state of a molded product produced by changing a second molding condition parameter set in the molding machine or the state of the molding machine is acquired, the second molding condition parameter before change, the physical quantity data obtained at this time, the second molding condition parameter after change, and the physical quantity data obtained when setting the second molding condition parameter after change are stored in association with each other, and a dataset for machine learning is created by repeating the change of the first and second molding condition parameters and the acquisition of the physical quantity data.

A method of detecting and compensating for a non-operational mold cavity in an injection molding apparatus having a plurality of mold cavities and an injection molding screw or ram includes injecting, via the injection molding screw or ram, a molten thermoplastic material into the plurality of mold cavities. The method includes measuring a first process parameter of the injection molding apparatus at a pre-determined time during or after the injecting. The method also includes determining, based on the first process parameter, whether one or more mold cavities of the plurality of mold cavities are non-operational. Then, when it is determined that one or more mold cavities are non-operational, the method includes automatically adjusting the first process parameter or a second process parameter of the injection molding apparatus.

A molding management system includes: a first acquisition unit configured to acquire first abnormality information, second abnormality information, and third abnormality information; and a first output unit configured to output first warning information. The second abnormality information and the third abnormality information include information on an injection molding machine in the first abnormality information and information on a type of an abnormality in the injection molding machine in the first abnormality information. The first acquisition unit acquires the second abnormality information after acquiring the first abnormality information and before a first period elapses therefrom, and acquires the third abnormality information after acquiring the first abnormality information and after the first period elapses therefrom. The first output unit outputs the first warning information when the first abnormality information is acquired, does not output the first warning information when the second abnormality information is acquired, and outputs the first warning information when the third abnormality information is acquired.