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 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 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.

Processes for forming fiber reinforced composite aircraft components, i.e., aircraft components formed of a cured fiber-reinforced resin, are provided. According to specific embodiments, a finished surface of the composite aircraft component can be achieved by providing in-mold coating of the cured fiber-reinforced resin by a dried and cured film layer of a water-based primer paint material to thereby achieve a composite aircraft component having an exterior surface that does not necessarily require further finishing.

The invention concerns a method for producing a carbon fibre, that comprises a step of preparing a continuous fibre made of cellulose from cotton fabrics, by extracting, from these fabrics, cotton in the form of short, discontinuous fibres, and implementing a solvent spinning process; this step being followed by a step of carbonising said obtained continuous fibre made from cellulose, in order to form a carbon fibre. This carbon fibre can be used, in particular, for producing articles made from composite material made from carbon fibres and polymer organic resin.

Inflatable medical devices and methods for making and using the same are disclosed. The devices can be medical invasive balloons, such as those used for transcutaneous heart valve implantation, such as balloons used for transcatheter aortic-valve implantation. The balloons can have high strength, fiber-reinforced walls.

The present invention relates to a blade (7) comprising: —a composite material structure (17), —a blade root fastening portion (9) further comprising a shoulder (10) extending into the recess from the wall—a base (18) arranged in the recess and comprising a support member configured to abut against the shoulder (10) of the blade root fastening portion (9) and a passage (39) formed in the support member, the sections (23) of the blade root portion (22) of the composite material structure extending through the passage (39), and—a blocking part (19) arranged in the recess between the two sections (23) of the blade root portion (22) such that each section of the blade root portion (23) is pressed against the support member by the blocking part (19).

The present invention relates to fiber composite plastic (11, 13) comprising a polymer (40, 41) and at least one textile (50), which has at least one palpably inhomogeneous surface (60, 61) with a textile structure and is entirely surrounded by polymer (40, 41), wherein the fiber composite plastic (11, 13) has at least one palpably inhomogeneous surface (60, 61), wherein inhomogeneities of this fiber composite plastic surface are caused by the textile structure, and a method for producing the fiber composite plastic (11, 13).

The disclosure provides an interior trim part for a motor vehicle having a sliding or panoramic roof comprising a headliner and a stiffening frame attached to the headliner and enclosing and stabilizing an opening in the headliner enclosing the sliding or panoramic window, the stiffening frame being made of a fiber-reinforced composite material comprising a fiber mat and a textile lattice material, the textile lattice material being applied over a surface of the fiber mat and impregnated together therewith.