A method is provided for controlling an injection molding system, which includes a mold having an inner surface defining at least two groups of cavities, each group of cavities defining precisely one cavity with one pressure sensor at the inner surface. Each group of cavities is at least partially surrounded by a tempering unit that provides an energy flow to the surrounded cavities. According to the method, a pressure is determined in each group of cavities of the at least two groups of cavities. A reference pressure is determined for each group of cavities. A difference between the reference pressure and the pressure in at least one group of cavities is determined and controlled to become minimum by manipulating the energy flow of the tempering unit.

A quality prediction device includes a probabilistic prediction model generation unit that generates a probabilistic prediction model on the basis of a plurality of training data in which a log relating to a molding operating condition or to a state of a molding machine and a quality value of a molding product corresponding to the log are associated with each other, and a quality prediction unit that calculates a quality index of the molding product from the log using the probabilistic prediction model.

Non-time dependent measured variables are used to effectively determine an optimal hold profile for an expanding crosslinking polymer part in a mold cavity. A system and/or approach may first inject molten expanding crosslinking polymer into a mold cavity, then measure at least one non-time dependent variable during an injection molding cycle. Next, the system and/or method commences a hold profile for the part, and upon completing the hold profile, the part is ejected from the mold cavity.

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.

An operation abnormality detection method for detecting an operation abnormality in a molding device having a movable part includes: acquiring a prescribed measured value relating to operation of the movable part and calculating, as statistical information, an average value of prescribed information values based on the prescribed measured values: calculating a first threshold and a second threshold; acquiring a current measured value and comparing a current information value based on the current measured value with the greater of the first threshold and the second threshold; and issuing a warning if the current information value at least exceeds the greater of the first threshold and the second threshold.

An injection molded component has a functional portion and a quality control portion. The quality control portion comprises a set of protrusions which are adapted to distort visibly in response to injection molding shrinkage, thereby to enable visual quality control inspection.

In the present invention, constructed is a highly reliable system that does not allow unforeseen conditions to occur in the remote diagnosis of a clamp device. All combinations of status of a state detection switch mounted on a clamp device are anticipated in advance by a recursive method, and the states are defined with no omissions. A control unit 9 includes: a main body memory 9c that stores the ON/OFF state of a state switch together with the status of an injection molding machine main body, the clamp status and time information; and a main body communication unit 9d which is capable of short-range wireless communication. A message diagnosing a failure is stored in a smartphone 12 for all combinations of the ON/OFF state of the state detection switch for each of the following cases: whether in mold replacement mode or not; and whether a clamp device is in a clamped state or an unclamped state, or in a state other than the forgoing. The history of the ON/OFF state of the state detection switch with respect to the status of the main body and the clamp status is read from the main body memory 9c by wireless communication, and a corresponding message is displayed.

A state determination device includes a data acquisition unit acquiring the number of productions and data related to a predetermined physical quantity as data indicating a state related to an injection molding machine, a first calculation unit calculating a feature amount indicating a feature of the state based on the data, a second calculation unit calculating a statistic as statistical data with reference to a statistical condition including a statistical function for calculating a predetermined statistic from a predetermined feature amount based on a calculated feature amount, a regression analysis unit performing regression analysis using a predetermined regression formula based on statistical data and the number of productions, and calculating a coefficient of the predetermined regression formula, and a determination unit calculating a divergence degree between a most recent statistic and an obtained regression formula, and determining whether or not the divergence degree is greater than a predetermined threshold value.

A monitoring device of an injection molding machine includes: an acquisition unit that acquires, based on a measured value in a depressurizing process from a detection unit provided in a link member of a toggle mechanism, an amount of change generated in the link member; and a determination unit that determines whether or not the amount of change acquired by the acquisition unit exceeds a predetermined threshold.

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.