A cycle time administration section 3 of an apparatus for taking out a molded product of the present invention includes: a measurement section 5 for measuring a cycle time for every one cycle of taking out a molded product; a setting and storing section 7 for setting and storing a target cycle time; a comparison section 9 for comparing the measured cycle time and the target cycle time for every one cycle; a counting section 11 for counting the number of times that the measured cycle times consecutively exceed target time, following the measured cycle time that has first exceeded the target cycle time, if it is determined that the measured cycle time has exceeded the target cycle time as a result of the comparing; and an outputting section 13 for outputting a detection signal if the counted number of times is more than n times.

A control device for an injection molding machine includes: a pressure acquiring unit for acquiring resin pressure; an injection control unit for injecting resin into a mold; an ejector control unit for protruding an ejector pin before the resin pressure reaches a predetermined target pressure; and an insertion control unit for causing a supporting member and an attachment plate to support an ejector plate by inserting the supporting member into a gap before the resin pressure reached the predetermined target pressure.

There is provided an injection molding machine management system including an injection molding machine configured to mold a molded article with injection molding, a peripheral device configured to perform a post-process of the injection molding, and a control device communicably coupled to the injection molding machine and the peripheral device. The injection molding machine management system includes a generating section configured to generate a common identifier for each of predetermined production units and transmit the common identifier to the peripheral device. Molding data concerning the injection molding and post-process data concerning the post-process are correlated with the common identifier.

An ejection device having a pushing device that can be moved in translation along a first axis, an ejection element is translatable along a second axis different from the first axis, and a transfer device connecting the pushing device and the ejection element. The transfer device includes a transmission chain having at least two transmission links which are translatable in a sliding direction. The ejection device further includes an adjustment wedge mounted on the pushing device, the adjustment wedge having an adjustment surface forming an adjustment angle, with the transmission chain being mounted on the adjustment surface.

An operation setting device includes a first step of inputting an operation sequence and an operation position of the ejector by touching a desired point in a graph displayed on the setting display screen, a second step of inputting operation parameters including an operation speed, an operation position, an operation time, and an operation pattern of the ejector on the basis of the operation position thus input, and a third step of displaying in the graph and numerically displaying in a numerical value display part of the setting display screen the operation position and the operation parameters thus input. The operation position and operation parameters for each operation set in the first step to the third step are displayed in the graph and numerically displayed in the numerical value display part.

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.

Predicting a state of a mold after molding upon injection molding. A machine learning device includes: an input data acquiring unit that acquires input data including any molding condition including at least a type of resin, a type of additive, a blending ratio of the additive, and a temperature of the resin in molding any article molded by any injection molding machine, and state information indicating a wear amount of a mold before molding at the molding conditions; a label acquiring unit that acquires label data indicating state information of the mold after molding at the molding conditions included in the input data; and a learning unit that executes supervised learning using the input data acquired by the input data acquiring unit and the label data acquired by the label acquiring unit, and generates a learned model.

There is disclosed a method (400) of ejecting a molded article (310, 312) from an injection mold (100). The method (400) comprises: during a second portion of the mold opening cycle of the injection mold (100), the second portion occurring later in time relative to a first portion of the mold opening cycle of the injection mold (100): controlling velocity of at least one of: (i) the moveable mold half (102, 502) relative to the stationary mold half (104, 504), (ii) the ejector (230) relative to the moveable mold half (102, 502); and (iii) an ejector actuator linked to the core insert (112, 114, 512, 514); and (iv) a stripper actuator that is linked to the stripper sleeve (116, 516); the controlling executed such that the molded article (310, 312, 506) is ejected from the molding component with a substantially zero departure-velocity along the first axis of operation.

A method of estimating a normal vector to an attachment mounted to an approach frame of an apparatus for taking out a molded product and a normal vector to a die mounted to a molding machine is provided. A normal vector to a take-out head is estimated through computation using a coordinate/depth determination section and a normal vector computation section on the basis of depth data or coordinate data on three mounting members. Three or more extending portions are specified from the image, the extending portions being each a part of a fixed die or a movable die or a part of a surrounding component and extending in a direction that coincides with the open direction for the dies. A normal vector to the die is estimated through computation on the basis of the depth data or coordinate data on the specified extending portions.

A method for the continuous storage of internal operating states and visualization of past sequences of operations, as well as to a robot and/or robot controller, wherein the robot is preferably mounted on or next to a processing machine, in particular an injection molding machine and serves for the removal, handling, manipulation or further processing of injection molded parts which have just been produced. The robot controller records data, in particular changes of state, positions, internal parameters, time stamps, etc., and in case of occurrence of an error this most recently recorded information is linked to the error and stored, whereby the changes of state until the occurrence of the respective error are simulated and visually displayed for an analysis on the basis of a virtual model of the physical robot.