A pressure foot device and system comprising a pressure foot device for forming and applying an elongate fiber tow, wherein the pressure foot device comprises a foot surface comprising a straight foot segment, a groove comprising a flared end and defining a groove midplane, and a foot shaft housing characterized by a foot shaft's axis of rotation that is orthogonal to the straight foot segment and comprised in the groove midplane.

A method for digitally designing a support with the shape of a fibrous blank obtained by three-dimensional weaving intended to form a fibrous preform of a turbine engine blade or propeller after shaping and compaction in a mold, includes providing a set of points representative of a face of the fibrous blank, the face being intended to form the root of the blade or the propeller and a portion of an aerodynamic profile of the blade or the propeller, generating a web connecting the points of the set of points, and digitally designing the support including at least an imprint of the fibrous blank having the shape of the generated web.

There is provided a method that includes directing one or more infrared cameras at a compaction roller of a composite laying head of a composite layup machine. The one or more infrared cameras are mounted aft of the compaction roller. The method includes applying heat to a substrate by a heater. The heater is mounted forward of the compaction roller. The method further includes using the one or more infrared cameras, to obtain one or more infrared images of the compaction roller, during laying down of one or more composite tows of a composite layup onto the substrate by the compaction roller. The method further includes identifying, based on the one or more infrared images, one or more temperature profiles of the compaction roller, and analyzing identified temperature profiles, to determine one or more of, a layup quality of the composite layup, and a heat history of the composite layup.

There is provided a method that includes directing one or more infrared cameras at a compaction roller of a composite laying head of a composite layup machine. The one or more infrared cameras are mounted aft of the compaction roller. The method includes applying heat to a substrate by a heater. The heater is mounted forward of the compaction roller. The method further includes using the one or more infrared cameras, to obtain one or more infrared images of the compaction roller, during laying down of one or more composite tows of a composite layup onto the substrate by the compaction roller. The method further includes identifying, based on the one or more infrared images, one or more temperature profiles of the compaction roller, and analyzing identified temperature profiles, to determine one or more of, a layup quality of the composite layup, and a heat history of the composite layup.

A method of detecting defects in a composite layup includes capturing, using an infrared camera, reference images of a reference layup being laid up by a reference layup head. The method also includes manually reviewing the reference images for defects, and generating reference defect masks indicating defects in the reference images. The method further includes training, using the reference images and reference defect masks, a neural network, creating a machine learning model that, given a production image as input, outputs a production defect mask indicating the defect location and the defect type of each defect. The method also includes capturing, using an infrared camera, production images of a production layup being laid up by the production layup head, and applying the model to the production images to automatically generate a production defect masks indicating each defect in the production images.

A method of detecting defects in a composite layup includes capturing, using an infrared camera, reference images of a reference layup being laid up by a reference layup head. The method also includes manually reviewing the reference images for defects, and generating reference defect masks indicating defects in the reference images. The method further includes training, using the reference images and reference defect masks, a neural network, creating a machine learning model that, given a production image as input, outputs a production defect mask indicating the defect location and the defect type of each defect. The method also includes capturing, using an infrared camera, production images of a production layup being laid up by the production layup head, and applying the model to the production images to automatically generate a production defect masks indicating each defect in the production images.

A composite manufacturing system is provided. The composite manufacturing system comprises a fiber placement head, a compaction roller associated with the fiber placement head, and a temperature regulation system associated with the compaction roller. The temperature regulation system is configured to actively control a temperature of the compaction roller. The temperature regulation system comprises a number of temperature sensors, a cooling system, and a controller. The number of temperature sensors are configured to detect the temperature of the compaction roller. The cooling system is associated with the compaction roller and is configured to cool the compaction roller. The controller is in communication with the number of temperature sensors and the cooling system. The controller is configured to cool the compaction roller such that the temperature is below a threshold temperature.

Provided is a heating device including: a heating unit that heats a laminate which includes a plurality of sheet-like composite materials including reinforced fiber and thermoplastic resin, and heats, via a first contact surface disposed in contact with the laminate, the thermoplastic resin included in the laminate being in contact with the first contact surface to a softening temperature or higher; a cooling unit that cools, via a second contact surface disposed in contact with the laminate, the thermoplastic resin included in the laminate located outside of the second contact surface to a temperature lower than the softening temperature; and a pressing unit that applies a predetermined pressure to the laminate via the first contact surface and the second contact surface, the second contact surface being disposed so as to surround the first contact surface.

Disclosed herein is an apparatus for fixing a thermoplastic composite. The apparatus for fixing a thermoplastic composite for fixing the thermoplastic composite and placing a transferring tray to be transferred to a forming mold, the apparatus comprising a frame unit having a location space where the thermoplastic composite is positioned and placed on the transferring tray, and a plurality of connecting units for connecting the frame unit and the thermoplastic composite to pull the thermoplastic composite toward the frame unit. In this case, the plurality of connecting units have variable length and move along the frame unit.

Systems, methods, and devices of the various embodiments may provide Automated Tape (or Tow) Placement (ATP) systems including machine-based parts that support prepreg tape laying processes to build composite parts. Various embodiments may be applied to materials that may be consolidated during fabrication and/or may be used to fabricate parts that may require post processing steps.