A molding machine management system includes: an injection molding machine including a mold, an injection unit, and a mold clamping unit; a management server coupled to the injection molding machine via a network; a first camera configured to capture an image of the mold; a second camera configured to capture an image of a drive unit provided in the injection molding machine; and a storage unit that stores first moving image data which is moving image data of the mold captured by the first camera, and second moving image data which is moving image data of the drive unit captured by the second camera, in association with a shot number of the injection molding machine. The management server includes a control unit configured to cause a display unit to display the first moving image data and the second moving image data in association with the shot number.

A method for producing a component, and an injection-molding device. In the method. the following steps are carried out, in particular in succession: closing an injection mold, injection molding a base body by introducing a first plastic material into a first injection-molding cavity, opening the injection mold, stamping one or more first film elements and removing the component from the mold.

The invention relates to a method for inspecting elongate injection-moulded parts (P) having an axis of symmetry (S), in particular pipette tips, in a holding device (H), wherein the method comprises the following steps: detecting a reference area (RP) in a first measurement area (1) of the elongate injection-moulded part (P) in the holding device (H) using detection means (K1), wherein the reference area (RP) is selected such that the axis of symmetry (S) of the injection-moulded part (P) can be calculated from the measurement data of the reference area (RP) (first step), calculating the axis of symmetry (S) from the measurement data of the measured reference area (RP) (second step), measuring the spatial position of a section (S2) of the axis of symmetry of a second measurement area (2) of the elongate injection-moulded part (P), said second measurement area being spaced apart from the first measurement area (1) in the axial direction (third step), and determining whether or not the spatial position of the section (S2) of the axis of symmetry of the injection-moulded part (P) measured in the third step coincides in the second measurement area (2) with the axis of symmetry (S) calculated in the second step.

A resin intrusion prevention structure for preventing resin intrusion into a heater in a shut-off nozzle, the shut-off nozzle including a nozzle body having an injection flow path, through which resin flows, in an axial direction and a shut-off valve configured to open and block the injection flow path. The resin intrusion prevention structure is provided in a vicinity of a sliding exposed portion, which is exposed to an outer circumferential surface of the nozzle body in a sliding portion, and is configured to prevent the resin leaking from the sliding exposed portion from intruding into the heater provided in the shut-off nozzle.

An injection molding system includes: an injection molding machine; an inspection device including a first placement unit, a second placement unit, an inspection unit, and a moving unit configured to change a relative position between the first placement unit and the inspection unit and a relative position between the second placement unit and the inspection unit; a third placement unit; a robot configured to convey the molded object; and a control device. The control device controls the injection molding machine, the robot, and the inspection device so as to mold a first molded object during a first molding period, inspect the first molded object placed on the first placement unit during a first inspection period, convey the first molded object after inspection from the first placement unit to the third placement unit during a first conveyance period, mold a second molded object during a second molding period, inspect the second molded object placed on the second placement unit during a second inspection period, convey the second molded object after inspection from the second placement unit to the third placement unit during a second conveyance period, and overlap the first inspection period and the second molding period and overlap the second inspection period and the first conveyance period.

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.

A method of reducing or limiting tissue adhesion comprises contacting the tissue with an effective amount of a hydrogel composition comprising: 2% to 6% by weight hyaluronan, and 3% to 18% by weight methylcellulose, wherein the combined total amount of hyaluronan and methylcellulose in the hydrogel is between 8 and 24% by weight; and wherein the ratio of hyaluronan:methylcellulose is between 1:1 and 1:5 w/w. The hydrogel composition and may be used to reduce or limit tissue adhesion that is correlated with surgery, and may be used in surgeries wherein the surgery is performed through a small incision or opening.

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 coinjection molded multi-layer container includes an inner layer, an outer layer, and a barrier layer. The inner layer includes a first polymeric material and forms an inside surface of the container. The outer layer includes the first polymeric material and forms an outside surface of the container. The barrier layer is located between the inner layer and the outer layer and includes a second polymeric material less permeable to gas than the first polymeric material. The barrier layer is biased toward the inside surface or the outside surface such that the inner layer and the outer layer have different thicknesses.

A coinjection molded multi-layer container includes an inner layer, an outer layer, and a barrier layer. The inner layer includes a first polymeric material and forms an inside surface of the container. The outer layer includes the first polymeric material and forms an outside surface of the container. The barrier layer is located between the inner layer and the outer layer and includes a second polymeric material less permeable to gas than the first polymeric material. The barrier layer is biased toward the inside surface or the outside surface such that the inner layer and the outer layer have different thicknesses.