An injection molding hot runner system adapted for leak detection during injection molding includes a manifold and a housing surrounding the manifold, wherein the manifold and the housing are spaced apart defining one or more pockets, the manifold comprises at least one junction point establishing a connection to a component attached to the manifold, wherein at the at least one junction point a sensor is located in the pocket, wherein the sensor is configured to indicate a leak when getting in contact with the molten plastic due to a leak at the junction point.

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.

The disclosure provides an injection molding machine which is controlled by a control device according to molding conditions and injects and fills a flowable molding material into a mold to perform molding. The control device includes an input control device, a molding condition storage device and a display control device. The input control device receives input of molding conditions input from the input device, the molding condition storage device stores a plurality of molding conditions, and the display control device displays on a display device a list of each item included in each of the plurality of molding conditions in a table format represented by rows or columns.

Provided is a foreign substance inspection method for inspecting presence or absence of a foreign substance embedded in a tubular resin molded product. A dome is prepared. The foreign substance inspection method includes: a first measurement step of measuring a dimension of a first projection image of the embedded foreign substance; a second measurement step of measuring a dimension of a second projection image of the embedded foreign substance: and a calculation step of calculating the dimension of the embedded foreign substance based on a proportional relationship between the dimension of each of the projection images to a distance from a corresponding one of the light sources to the each of the projection images and the dimension of the embedded foreign substance to a distance from the corresponding one of the light sources to the embedded foreign substance.

The invention relates to a sealing system for sealing adjacent machine parts, in particular molding tool parts for foaming vehicle parts. The sealing system comprises a sealing device for sealing adjacent machine parts and a light output device which is arranged in such a way that the light output device can illuminate a portion of the sealing device.

A diagnostic apparatus includes a control unit configured to control a diagnostic operation for driving a belt, a first tension calculation unit configured to perform, based on data obtained from the diagnostic operation, a calculation to estimate a first belt tension value that is a tension value of the belt when the belt is not worn, a second tension calculation unit configured to calculate a second belt tension value in a case where a tension reduction factor of the belt and a wear factor of the belt are included, and a third tension calculation unit configured to calculate the degree of wear of the belt based on the first belt tension value and the second belt tension value. Accordingly, the diagnostic apparatus can support estimation of the degree of wear of a belt or abnormality diagnosis.

A state determination device includes an acquisition unit acquiring the number of productions and data related to a physical quantity as data indicating a state related to an injection molding machine, a first calculator calculating a feature amount indicating a feature of a state of the injection molding machine based on the data related to the physical quantity, a second calculator calculating a statistic as statistical data according to a statistical condition including a statistical function for calculating a statistic from a feature amount based on the calculated feature amount, an analyzer performing regression analysis using a regression formula based on the statistical data and the number of productions, and calculating a coefficient of the regression formula, and a determination unit determining the number of productions or a date and time using the regression formula, a warning value being reached at the number of productions or the date and time.

A method for carrying out a cyclical manufacturing process produces parts within a predefined quality tolerance. After at least one process adjustment variable is changed, a quality feature of the parts produced with a changed process adjustment variable is checked against the range of the quality tolerance of the produced parts. A process characteristic variable zone is formed in an automated manner using at least one determined process characteristic variable variant that is process-stable and for which the process adjustment variable produces acceptable parts.

Apparatus (3) for detecting a leak of molten plastics material in a hot runner mould (1) comprises a detecting circuit (28) which in turn comprises a plurality of tubular detecting elements (30) connected in series by connecting conduits (32). The detecting circuit (28) is located in galleries (25) in the hot runner mould (1) with the tubular detecting elements (30) located adjacent locations in the galleries (25) where leaks are likely to occur. A compressed air source (40) delivers compressed air at a regulated pressure through the detecting circuit (28) at a controlled flow rate controlled by a flow controller (45). A first pressure sensor (43) at the upstream end of the detecting circuit (28) and a second pressure sensor (44) at a downstream end of the detecting circuit (28) monitors the pressure upstream of the detecting circuit (28). The tubular detecting elements (30) are of heat stabilised silicone rubber material of deformable transverse cross-section, which is deformable by molten plastics material leaking into the gallery (25) adjacent the corresponding one of the tubular detecting elements (30). A microcontroller (47) monitors signals from the first and second pressure sensors (43) and (44) and on detecting an increase in the pressure read from the second pressure sensor (44) above a stored normal pressure value, the microcontroller (47) operates a sounder (52) and a relay (54) to activate a visual alert and to deactivate the moulding machine.

When an injection molding machine performs molding, the mold clamping force on the mold is adjusted on the basis of a mold displacement of the mold or the injection peak pressure and injection foremost position so that the molding is performed without causing flash and by an appropriate mold clamping force with which energy can be reduced. The amount of mold displacement and also the injection peak pressure and the injection foremost position are monitored during automatic operation. If there occurs no mold displacement change exceeding a threshold or if there occurs no injection peak pressure anomaly or injection foremost position anomaly exceeding thresholds, the automatic operation is continued. If the mold displacement change occurs or if the injection peak pressure anomaly and the injection foremost position anomaly occur, the operation of the injection molding machine is stopped.