There is provided a teaching method for a system for taking out a molded product. A projected image obtained by projecting an attachment mounted to an elevating frame onto a virtual plane, or a maximum-dimension virtual projected image of the projected image, is displayed as is superposed on the virtual plane, the virtual plane including a captured image of an opening end surface of a die that is opened, the captured image being captured by a single imaging device, before the attachment is advanced into the die. The range of the die that is opened in which the attachment is to be lowered is checked through visual observation.

In the present invention, sealing tape is wrapped around the outer circumferential surface of an introduced mold, and a monomer solution is injected into a cavity formed therein, wherein the injection amount of the monomer solution can be precisely controlled by using a vision recognition system. According to a preferable embodiment, a monomer solution of a monomer solution tank is suctioned, in advance, into a syringe capable of adjusting a capacity corresponding to a mold; most of the monomer solution, which has been injected into the syringe, is firstly injected into the mold at a high injection flow rate or injection speed; while the residual amount of the monomer solution is secondly injected at a reduced injection flow rate or injection speed, it is finally confirmed, by using a vision recognition system, whether the monomer solution is filled in the mold; and then injection is finished.

Method for the quality control and/or tracking of an injection molded part produced in a production cycle using at least one processing machine of the plastic processing industry and a plastic processing facility, in which production devices or stations arranged upstream or downstream are connected together via a network. Each individual injection molded part or a specified number of injection molded parts is assigned a quality value composed of multiple quality values in that each device or station in the production chain ascertains or generates its own quality value and extends same by the transmitted values of each previous device or previous station and forwards same as the new quality value to the following device or following station or in that a separate collecting station, in particular a hardware and software (COQ chain of quality), requests the quality values, the device values and.or material values thereof, from the individual devices or stations or is transmitted thereto, and the collecting station puts said the values into correlation.

The invention relates to an apparatus for producing tubular films stretched in-line by blow molding with an extruder, a film blowing line, a lay-flat unit, an oscillating haul-off unit, and a stretching line for monoaxially stretching the film laid flat in machine direction. According to the invention, the stretching line is arranged above the extruder between the lay-flat unit and the oscillating haul-off unit.

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.

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.

A method for decorative molding capable of reducing a preparation time at the time of replacing a mold and expecting improvement in positioning accuracy of a decorative pattern in a molded article includes supplying a film on which a decorative pattern is formed between a first mold and a second mold in a mold open state of a mold, imaging a mold-side alignment mark recorded in the mold and a film-side alignment mark recorded in the film by a camera, positioning the film with respect to the mold by moving the film so that the film-side alignment mark comes close to the mold-side alignment mark, injecting resin into the mold in a mold closed state in which the film is sandwiched between the first mold and the second mold and cooling the resin to form a molded article and opening the mold and taking out the molded article in which the decorative pattern of the film is transferred to the surface.

An image display device displays an image such that a pair of reference symmetric structure portions, e.g. a pair of guide pins, are included in a captured image displayed on a display section, the pair of reference symmetric structure portions being located symmetrically with respect to a second virtual plane which extends in the opening direction and the vertical direction and includes a virtual center line of the molding apparatus which extends in the opening direction. A teaching execution section is used to determine the lateral position of an approach frame in the take-out operation by changing the position of the approach frame such that the center of an imaging range is located at a middle position between the pair of reference symmetric structure portions included in the captured image.

A system for coinjection molding a multi-layer container includes an injection molding apparatus, a camera, and a controller. The injection molding apparatus is configured to coinject a plurality of polymeric materials into a mold cavity to form a multi-layer container including an inner layer, an outer layer, and a barrier layer located between the inner layer and the outer layer. The camera is configured to capture an image indicating a location of the barrier layer within the multi-layer container. The controller is configured to monitor the location of the barrier layer using the image captured by the camera, compare the location of the barrier layer to a threshold location, and provide a control signal to the injection molding apparatus based on the location of the barrier layer relative to the threshold location.

A heating module for heating at least one film element. The heating module has two or more heating segments with in each case one or more heating elements for heating a first area of the film element assigned to the respective heating segment, wherein the heating module and/or at least one of the heating segments includes at least one sensor for measuring the state of the heating of the film element.