When a specification setting unit sets a specification of a lot number “k+1” after setting a specification of a lot number “k”, a mounting program selector performs a mounting program corresponding to the lot number “k”, and then selects a mounting program corresponding to the lot number “k+1” according to matching between a mounting number from the mounting program and a planned number of products of the lot number “k”. A printing program selector selects a printing program corresponding to the lot number “k”, and then selects a printing program corresponding to the lot number “k+1” according to matching between a sum of a printing number from the printing program and a defective product number and the planned number of products of the lot number “k”. Consequently, on-demand production of an electronic device can easily be manufactured on a manufacturing line.

An apparatus and method for establishing triggers for the opening of one or multiple gates to a mold cavity of an injection molding system, followed by a sequence of predetermined valve pin movements over the course on an injection cycle. In one embodiment, the invention provides a graphical user interface and control system enabling a user to select from and arrange a plurality of virtual icons into a user-defined virtual sequence that define associated triggering events and actuator controlled pin movements over the course of an injection cycle. In various embodiments, the apparatus and method allows the system operator to view a simulated profile of such triggers and movements and to compare the simulated profile to an actual profile to access differences and make adjustments to the triggers and sequencing more quickly and efficiently. This is particularly useful in sequential molding systems where multiple gates need to be programmed and adjusted to compensate for variations from a predetermined sequence.

The invention relates to a method and system wherein an analysis system (6) measures derivative process parameters (7) from the derivative physical production process, wherein the precursor charge (3) is produced at a precursor production facility (8) at least 50 km distant from the physical production facility (2) through a precursor production process based on applied precursor production settings (9), wherein the precursor charge (3) is transported to the physical production facility (2), wherein the analysis system (6) measures precursor process parameters (11) from the precursor production process and precursor product parameters (12) from the precursor charge (3), wherein the analysis system (6) enters the applied derivative process settings (4), the measured derivative process parameters (7), the applied precursor production settings (9), the measured precursor process parameters (11), the measured precursor product parameters (12) as input to a process model (13), which process model (13) describes a computational relationship between derivative process settings, derivative process parameters, precursor production settings, precursor process parameters and precursor product parameters, to obtain updated derivative process settings (15).

A process for forming an intermediate or final resin sheet by virtually segmenting a strip-like, extrusion-molded resin sheet into a plurality of individual areas corresponding to intermediate resin sheets. Each individual area is further virtually segmented into segmented areas. Shrinkage rate related information related to shrinkage rate of each segmented area is acquired for each segmented area. When implementing an intermediate processing, processing conditions are corrected for each individual area based on the shrinkage rate related information for each individual area and for each segmented area. The intermediate resin sheet may be heat press processed using heat press processing condition information.

Disclosed is a conformal cooling channel design method using deep learning and a topology optimization design. The conformal cooling channel design method using deep learning and a topology optimization design according to an embodiment of the present invention includes the steps of: classifying a molded product as a thin structure or a bulk structure, and determining a cooling target area; decomposing the cooling target area into cooling target surfaces of two-dimensional shape; producing a preprocessed image by performing a preprocessing step on an image of the cooling target surface to which a thermal load is reflected; forming cooling channels independent from each other, to which a topology optimization design is applied, for each of the cooling target surfaces by inputting the preprocessed image into a previously trained neural network; and forming a conformal cooling channel by combining the cooling channels.

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 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.

The present disclosure provides an Industrial Internet of Things system conducive to system scalability and control method thereof. The system comprises a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The service platform or the sensor network platform adopts independent layout. The service platform and the sensor network platform both include sub platforms and each sub platform is provided with a database, a processor, and/or an information channel. The object platform includes a production line, and the production line is configured with a plurality of sensors. In each sub platform of the sensor network platform, a same communication protocol is used with the sensors connected to a same sub platform of the sensor network platform. Any sub platform of the sensor network platform is connected with a unique sub platform of the service platform through the management platform.

A device may include a mold body defining a mold cavity. A device may include at least one porosity channel in fluid communication with the mold cavity; and wherein the at least one porosity channel has a sufficiently high porosity to vent entrapped gases from the mold cavity during the manufacture of an output part.

The present disclosure provides an Industrial Internet of Things system conducive to system scalability and control method thereof. The system comprises a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The service platform or the sensor network platform adopts independent layout. The service platform and the sensor network platform both include sub platforms and each sub platform is provided with a database, a processor, and/or an information channel. The object platform includes a production line, and the production line is configured with a plurality of sensors. In each sub platform of the sensor network platform, a same communication protocol is used with the sensors connected to a same sub platform of the sensor network platform. Any sub platform of the sensor network platform is connected with a unique sub platform of the service platform through the management platform.