Disclosed herein, amongst other things, is a molding system (100) comprising control structure that includes a mold (120) that is configured to mold a molded article (180), a controller (170) with which to control the operation of the molding structure, and a vision system (174) with which to appreciate a parameter of the molded article (180) for control of molding system (100).

Method for controlling a method for the manufacture of a container by stretch-blow-molding of a plastic preform (2) in a machine (1) including a mold (26), the preform (2) having a body (3), a neck (4) opening at one end of the body (3) and a bottom (5) closing the body (3) at another end thereof, the manufacturing method including the operations involving:heating the preform to a predetermined temperature in a thermal conditioning oven (10);introducing the preform (2) into the mold (26);moving a stretching pin (28) so as to stretch the preform (2); this control method involving a step that consists in determining the position of impact (P0r) of the stretch pin (28), namely the position it occupies at the moment at which it reaches the bottom (5) of the preform (2) during its movement.

Methods, systems, and apparatus's for improving orthodontic treatments. In an embodiment, an orthodontic tracking template is provided for assisting in determining whether a patient's teeth are in an appropriate tooth arrangement for transitioning between a wire and bracket orthodontic treatment to a patient-removable orthodontic appliance treatment. The tracking template may include a shell portion defining a plurality of tooth-receiving cavities arranged to fit over at least a portion of the patient's teeth in an intermediate tooth arrangement without applying a tooth-moving force to the teeth or to any brackets attached to the teeth.

An imprint apparatus includes a mold holding unit configured to hold a mold, a correction mechanism configured to correct a shape of a pattern formed in the mold to a desired shape by applying a force to the mold held in the mold holding unit, and a controller configured to assume a plurality of mold pattern shapes for a specific mold, calculate a parameter for associating the plurality of assumed mold pattern shapes and a deformation amount of the specific mold by causing the correction mechanism to apply the force to the specific mold to obtain the deformation amount of the specific mold so that the plurality of assumed mold pattern shapes are formed, and calibrate the correction mechanism using the parameter.

A state determination device that determines an operation state of an injection molding machine stores respective specification data of a reference injection molding machine and an injection molding machine that is different from the reference injection molding machine, and acquires data related to the injection molding machine. Then, the state determination device converts the acquired data into yardstick data by a conversion formula set for every type of data, by using the stored specification data of the reference injection molding machine and the stored specification data of the injection molding machine and performs machine learning using the yardstick data obtained through the conversion so as to generate a learning model.

A device for assisting molding condition determination is used with a molding method that molds an article by feeding molten material into a mold. The device includes a learning model generating unit, an input unit, and an output unit. The learning model generating unit creates a learning model through machine learning in which a plurality of molding condition element items used to mold the article and a plurality of quality element items of the molded article are used as learning data. The learning model relates to a degree of influence of each molding condition element item on each quality element item. The input unit receives input of a subject quality element item to be checked, selected from the quality element items. The output unit outputs, using the learning model, the multiple molding condition element item that has the degree of influence on the subject quality element item.

A deterioration determining apparatus includes: an operating condition acquirer to acquire an operating condition of a processing device; a processing state data acquirer to acquire processing state data detected by a sensor attached to the processing device; a learning model generator to conduct machine learning using, as learning data, the operating condition and the processing state data so as to preliminarily generate a learning model concerning the operating condition and the processing state data; an actual data acquirer to acquire actual data that is the processing state data at a determining time; a predicted data acquirer to acquire, using the learning model, predicted data that is the processing state data for the operating condition at the determining time; and a determiner to determine the degree of deterioration in the processing device in accordance with the degree of divergence between the actual data and the predicted data.

A molding facility or peripheral apparatus for a molding facility including at least one non-safe control apparatus having at least one signal input and at least one signal output for the non-safe control of non-safety-relevant actuators of the molding facility or peripheral apparatus, and at least one safe control apparatus which has at least one safe signal input and at least one safe signal output and in which there is stored a safety program which can be executed for the safe control of safety-relevant actuators of the molding facility or peripheral apparatus, wherein the safety program is a version of a wiring diagram, that can be executed by the safe control apparatus and is compiled by a compiler.

A display device and a display system of an injection molding machine, capable of automatically displaying a window highly relevant to a window being displayed on a main screen on a sub-screen are provided.

A display device of an injection molding machine, capable of displaying two or more windows includes: a display unit having at least a main display unit and a sub-display unit; an input unit that receives an input related to selection of a window to be displayed on the display unit; and a display control unit that selectively controls the window to be displayed on the display unit based on the input to the input unit, wherein the display control unit switches a window to be displayed on the main display unit based on the input to the input unit and displays a window displayed in the past on the main display unit on the sub-display unit.

A state determination device acquires data related to an injection molding machine, stores a learning model obtained by learning an operation state of the injection molding machine with respect to the data, and performs estimation using the learning model based on the data. Further, the state determination device acquires a correction coefficient, which is associated with a type of the injection molding machine and equipment attached to the injection molding machine and numerically converts and corrects the estimation result with a predetermined correction function to which the acquired correction coefficient is applied.