A heat blanket system including a blanket including a first sub-area and a second sub-area. The heat blanket system also includes heating elements printed on the blanket. First spacings between first ones of the heating elements in the first sub-area varies relative to second spacings between second ones of the heating elements in the second sub-area. The first spacings and the second spacings vary according to a design. The design is configured for use on a uniquely defined rework area on a uniquely defined composite material object including a third area including a heat sink region and a fourth area including a non-heat sink region. The first sub-area is sized and dimensioned to be placed over the third area. The second sub-area is sized and dimensioned to be placed over the fourth area.

An apparatus for a rotational material scattering additive manufacturing device, the apparatus includes a base with a first protruding pin for mounting a first drum, where the first drum includes a first set of nozzle actuators configured to control a release of particle material through a first set of nozzles positioned on an outer edge of the first drum. The apparatus also includes the first drum configured to rotate about a central axis of the first protruding pin, wherein a rotational motor assembly is configured to rotate the first protruding pin. The apparatus also includes a microcontroller configured to control the first set of nozzle actuators and the rotational motor assembly.

A propeller blade comprises a composite blade spar and at least one cover shell section adhesively bonded to the blade spar by a thermoplastic adhesive.

Embodiments relate to an aligner breakage solution that tests damage to an aligner using machine learning. A method includes processing data from a digital design for an orthodontic aligner by a trained machine learning model and outputting, by the trained machine learning model, a probability that the orthodontic aligner associated with the digital design will be damaged during manufacturing of the orthodontic aligner. The method further includes making a comparison of the probability that the orthodontic aligner associated with the digital design will be damaged during manufacturing of the orthodontic aligner to a probability threshold and determining whether the orthodontic aligner is a high risk orthodontic aligner based on a result of the comparison. Responsive to determining that the orthodontic aligner is a high risk orthodontic aligner, the method includes performing at least one of a) a corrective action or b) selecting a manufacturing flow for high risk orthodontic aligners.

Embodiments relate to an aligner breakage solution that tests damage to an aligner using machine learning. A method includes processing data from a digital design for an orthodontic aligner by a trained machine learning model and outputting, by the trained machine learning model, a probability that the orthodontic aligner associated with the digital design will be damaged during manufacturing of the orthodontic aligner. The method further includes making a comparison of the probability that the orthodontic aligner associated with the digital design will be damaged during manufacturing of the orthodontic aligner to a probability threshold and determining whether the orthodontic aligner is a high risk orthodontic aligner based on a result of the comparison. Responsive to determining that the orthodontic aligner is a high risk orthodontic aligner, the method includes performing at least one of a) a corrective action or b) selecting a manufacturing flow for high risk orthodontic aligners.

Embodiments relate to an aligner breakage solution that tests progressive damage to an aligner. A method includes gathering a digital model representing an aligner for a dental arch of a patient, and simulating progressive damage to the aligner. Simulating progressive damage for a region of the aligner comprises simulating, using at least the digital model, a sequence of loads on the aligner, determining an amount of damage to the region of the aligner for each load, and after each simulation of a load on the aligner, updating the digital model based on the amount of damage to the region of the aligner. The method further includes determining whether a damage criterion is satisfied for at least one region of the aligner and determining whether to implement one or more corrective actions for the aligner.

Embodiments relate to an aligner breakage solution that tests progressive damage to an aligner. A method includes gathering a digital model representing an aligner for a dental arch of a patient, and simulating progressive damage to the aligner. Simulating progressive damage for a region of the aligner comprises simulating, using at least the digital model, a sequence of loads on the aligner, determining an amount of damage to the region of the aligner for each load, and after each simulation of a load on the aligner, updating the digital model based on the amount of damage to the region of the aligner. The method further includes determining whether a damage criterion is satisfied for at least one region of the aligner and determining whether to implement one or more corrective actions for the aligner.

Technology for controlling in-vehicle three dimensional (3D) printer(s) that replenish road engaging surfaces of the vehicle assembly. In some embodiment the 3D printer is controlled to replenish the road engaging surface while the vehicle is being driven. In some embodiments, an Internet of Things (IoT) sensor is used to detect wear on the road engaging surface to help control the location(s) where the 3D printer adds the additive material.

Technology for controlling in-vehicle three dimensional (3D) printer(s) that replenish road engaging surfaces of the vehicle assembly. In some embodiment the 3D printer is controlled to replenish the road engaging surface while the vehicle is being driven. In some embodiments, an Internet of Things (IoT) sensor is used to detect wear on the road engaging surface to help control the location(s) where the 3D printer adds the additive material.

An assembly includes a bag and of a composite panel exhibiting a damaged region to be repaired by polymerization of a repair piece using the bag. The bag includes a sheet intended to be laid over the panel. When the panel and the sheet are laid one atop of the other, the sheet exhibits regions capable of absorbing heat emitted by radiation onto it in a proportion that is dependent on the polymerization temperature needed for that region of the panel that corresponds to it, the radiation being partially absorbed by suitable colouration of the sheet in the region concerned. Determining those regions of the panel in which radiation is less well absorbed than in others means that the heating can be adapted to suit the needs of polymerization in terms of repair and that even polymerization can thus be obtained over the entire damaged region, thereby consolidating the repair.