An automated fiber bundle placement apparatus including a placing head having a pressing device, and a multi-jointed robot. The pressing device includes a pressing part, a pressing mechanism having a drive device, and a drive control device. The drive control device includes a drive command unit configured to output a drive command corresponding to a contact width of a placement die with the pressing part, the contact width being a length in the width direction of a part of the placement die facing in parallel to a contact range of the pressing part during pressing against the placement die, and is configured to control drive of the drive device to apply a pressing force corresponding to the drive command to the pressing part.

An automated fiber bundle placement apparatus including a placing head having a pressing device, and a multi-jointed robot. The pressing device includes a pressing part, a pressing mechanism having a drive device, and a drive control device. The drive control device includes a drive command unit configured to output a drive command corresponding to a contact width of a placement die with the pressing part, the contact width being a length in the width direction of a part of the placement die facing in parallel to a contact range of the pressing part during pressing against the placement die, and is configured to control drive of the drive device to apply a pressing force corresponding to the drive command to the pressing part.

A system for detecting a filament for printing in three dimensional printing (3DP) which can automatically detect the presence of a filament includes a feeding device, a detection device, a driving device, and an indication module. The driving device drives the feeding device and the detection device detects and determines the normal presence of a filament from the feeding device. The indication module outputs a signal to correspond to the presence of a filament or otherwise. A 3DP filament detection method is also provided.

A system for detecting a filament for printing in three dimensional printing (3DP) which can automatically detect the presence of a filament includes a feeding device, a detection device, a driving device, and an indication module. The driving device drives the feeding device and the detection device detects and determines the normal presence of a filament from the feeding device. The indication module outputs a signal to correspond to the presence of a filament or otherwise. A 3DP filament detection method is also provided.

The present invention is a container for storing, managing and monitoring the usage time and consumption of a filamentary material consumed by an associated 3D printer during the printer's operation, including a storage quantity of at least one filament, and a power supply, and filament locking means, and filament lock actuation means. The container is universal and can therefore be used with a variety of makes and models of 3D printer hardware. The filament is fed from the quantity of filament through the filament locking means, prior to exiting the container. The filament locking means are normally actuated, thereby preventing feed of filament to emerge from the container unless a predetermined set of unlocking conditions are met to disengage the filament locking means via the filament lock actuation means.

Provided is a parameter processing method, an electronic device and a storage medium. The method includes: determining T full-winding rates of a yarn spindle wound by a winding machine; and under the condition where it is determined that M full-winding rates in the T full-winding rates do not meet a requirement of a preset full-winding rate, determining a candidate characteristic parameter set, wherein a candidate characteristic parameter included in the candidate characteristic parameter set is the characteristic parameter that is selected from N first characteristic parameters corresponding to a full-winding rate not meeting the requirement of the preset full-winding rate and that causes the full-winding rate not meeting not to meet the requirement of the preset full-winding rate.

A facility state diagnosis model generator generates a shape data group in which any of a plurality of winding cores is correlated with any of a plurality of pieces of group data, and generates a replacement data group in which correspondence relationships between the winding cores and the group data are replaced with each other in all combinations of the plurality of winding cores and the plurality of pieces of group data, and generates or updates a plurality of learned models indicating that a cause of a defect is any of the plurality of winding cores by using the replacement data group.