Fanuc Corporation

Hiroyasu Asaoka

Atsushi Horiuchi

Kenjirou Shimizu

Wataru Shiraishi

Toshio Ishikuro

Satoshi Takatsugi

Hiroshi Imamura

Junpei Maruyama

Kazunori Iijima

Kazuomi Maeda

Kazuhiro Satou

Satoshi Yano

Akira Oomori

Shoutarou Sekiguchi

Liancheng Hu

Haruhiko Nakao

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.

Diagnostic apparatus

A diagnostic device is a device for estimating the tension of a belt of an industrial machine for transmitting power, and is provided with a control unit configured to control a diagnostic operation in which the belt is driven, a data acquisition unit configured to acquire at least feedback data at the time of the diagnostic operation, a preprocessing unit configured to analyze frequency-gain characteristics of the feedback data and create, as input data, a range including a resonant frequency and an anti-resonant frequency in the characteristics, and a machine learning device configured to perform processing related to machine learning, based on the data created by the preprocessing unit. The diagnostic device supports inference or abnormality detection of the value of the belt tension.

Diagnostic device and machine learning device

A state determination device is capable of assisting maintenance for various injection molding machines. The state determination device acquires data related to an injection molding machine, performs numeric conversion for extracting a feature in a temporal direction or an amplitude direction, with respect to time-series data of physical quantity in the acquired data, and performs machine learning using the data obtained through numeric conversion so as to generate a learning model.

State determination device and state determination method

A control device for an injection molding machine including a cylinder into which a resin is supplied and a screw that moves forward and rearward and rotates inside the cylinder, includes a metering control unit that performs metering of the resin inside the cylinder by controlling forward rotation and rearward movement of the screw until the screw has been moved rearward to a predetermined metering position, based on predetermined metering conditions, a rearward movement speed acquisition unit acquiring a rearward movement speed of the screw, a speed determination unit that determines a suck back speed for causing a resin pressure to reach a target pressure, based on the rearward movement speed acquired during metering by the rearward movement speed acquisition unit, and a suck back control unit causing the screw to move further rearward based on the suck back speed, after the screw has reached the predetermined metering position.

Control device and control method for injection molding machine

An injection molding machine includes: a first driving device rotating a screw provided inside a heating cylinder; a second driving device moving the screw forward and backward; a metering control section configured to, by controlling the first driving device and the second driving device, to meter resin while melting the resin, and thereafter rotate the screw in reverse to thereby reduce the pressure of the resin; a first sensor unit for detecting the pressure; a second sensor unit for detecting one or more kinds of physical quantities that affect the change of the pressure; and a prediction section predicting decompressing rotation information based on the pressure detected by the first sensor unit and the one or more kinds of physical quantities detected by the second sensor unit. The metering control section controls the first driving device based on the decompressing rotation information predicted by the prediction section.

Injection molding machine

A numerical control system detects a state amount indicating a state of an injection operation of an injection molding machine, generates a characteristic amount that characterizes the state of the injection operation from the state amount, and infers an evaluation value of the state of the injection operation from the characteristic amount. The numerical control system detects an abnormal state on the basis of the evaluation value, generates or updates a learning model by machine learning that uses the characteristic amount, and stores the learning model in correlation with a combination of conditions of the injection operation.

Numerical control system

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.

A state determination device includes: a primary determination learning model that has learned an outline of a state of a manufacturing device based on a state variable acquired from a manufacturing operation of a product of the manufacturing device; and a secondary determination learning model that has learned a state of the manufacturing device based on a state variable acquired from a predetermined operation pattern set in advance and maintenance information. Then, a primary determination is made on the outline of the state of the manufacturing device using the primary determination learning model based on the state variable acquired from the manufacturing operation of the product, and further, a secondary determination is made on the state of the manufacturing device using the secondary determination learning model based on the state variable acquired from the predetermined operation pattern.

State determination device

In an injection molding system, bolt position related information recognizing unit which recognizes an attachment position of a bolt for each attachment is provided. Based on the attachment position of the bolt, or the attachment position of the bolt and a phase of the bolt stored in the bolt position storage unit, bolt attaching and detaching unit attaches and detaches the bolt to and from the attachment. Thus, even if the position of the bolt varies in accordance with the attachment, it is possible to attach and detach the bolt by recognizing the attachment position of the bolt.

Injection molding system

When an injection member such as a screw injecting a molten material into a mold is attached to an injection molding machine, a buffer spacer is provided between the injection member and a power transmission member such as an injection shaft sleeve transmitting forward/backward moving power to the injection member. Then, the buffer spacer is fixed to the power transmission member by a bolt.

Injection member attachment structure for injection molding machine

A resin injection nozzle is provided with a first mating surface on an inner-diameter side and a second mating surface on an outer-diameter side relative to the first mating surface, and a through-hole is provided extending from a void defined between the first and second mating surfaces toward the distal end of the resin injection nozzle. Thus, gas generated from a molten resin can be effectively discharged.

Nozzle for injection molding machine

In a screw mounting structure of an injection molding machine in which a screw is fixed to a screw driving portion which transmits a rotating force and forward and backward thrusts to the screw, a fixing bushing for restricting movement of the screw in a rotating direction is fixed to the screw driving portion. A guide groove is formed in the fixing bushing in a direction orthogonal to a rotary axis of the screw, and retainers slide along the guide groove and are engaged with an engaging groove in a base portion of the screw, thereby restricting axial movement of the screw.

Screw mounting structure of an injection molding machine

A notched region in which the outer periphery of a screw flight is cut out is provided in a molding material feed screw. A wedge-shaped portion is formed by both a front wall surface of the screw flight and a wall surface of the boundary where the outer periphery of the screw flight is cut out. As a result of rotation of the molding material feed screw, since the wedge-shaped portion advances while pushing aside resin pellets located in the front thereof in two lateral directions of the front wall surface of the screw flight and the wall surface of the boundary where the outer diameter of the screw flight is cut out, entrapment of the resin pellets between the edge of a material supply port of a molding material supply device and the outer periphery of the screw flight is avoided as much as possible.

Molding material feed screw used in a molding material supply device of an injection molding machine

A mold is mounted with a locating ring mated into a hole in a stationary platen. A distance measuring unit is disposed to the side of the injection nozzle. The distance A between the sprue hole and the outer circumference of the locating ring and the distance B between the distance measuring unit and the outer circumference of the locating ring are both known. The distance C between the central axis of the nozzle hole and the side of the injection nozzle is also known. If the distance D to the side of the injection nozzle is measured by means of the distance measuring unit, the displacement between the central axis of the sprue hole and the central axis of the nozzle hole is obtained by calculating {(A+B)&#x2212;(C+D)}. The injection nozzle is centered by being moved manually or automatically by the amount corresponding to the displacement.

Injection molding machine having a centering device for centering a nozzle hole

When a metering process is started, a screw rotates at a preset rotating speed, thereby carrying out back pressure control to keep the pressure of a resin at a preset pressure, and retreats. When the screw is located near a preset metering completion position, the control mode is switched to positioning control for the preset metering completion position, and a screw rotation stop command is outputted. The screw overruns for some distance before its rotation stops after it retreats and stops at the preset metering completion position. A resin quantity for the overrun is corrected to obtain a preset metered resin quantity by reversely rotating the screw by a rotational amount corresponding to the overrun.

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Yamanashi, Japan

Hiroyasu Asaoka