A method including receiving a model of a composite structure having an inconsistency. The model includes a pre-calculated heating model that specifies areas of the inconsistency for which corresponding different amounts of heating are applied to an uncured composite material that is applied to the inconsistency. A design for heating elements of varying density across the areas is generated from the model. The design is configured to cause the heating elements in a first sub-area of a heat blanket system to generate a first amount of heat in a third area in the areas, and to cause the heating elements in a second sub-area of the heat blanket system to generate a second, different amount of heat in a fourth area of the areas. The heating elements are printed according to the design on a blanket to manufacture the heat blanket system.

Embodiments relate to an aligner breakage solution that tests probability of aligner breakage at weak points. A method includes gathering a digital model representing an aligner for a dental arch of a patient, receiving material property information for a material to be used to manufacture the aligner, and analyzing one or more regions of the aligner. Analyzing a region of the aligner comprises simulating application of a load around the region, determining at least one of a stress, a strain or a strain energy density at the region, evaluating a strength of the aligner at the region, and determining whether the region satisfies a damage criterion based on the strength of the aligner at the region.

Embodiments relate to an aligner breakage solution that tests probability of aligner breakage at weak points. A method includes gathering a digital model representing an aligner for a dental arch of a patient, receiving material property information for a material to be used to manufacture the aligner, and analyzing one or more regions of the aligner. Analyzing a region of the aligner comprises simulating application of a load around the region, determining at least one of a stress, a strain or a strain energy density at the region, evaluating a strength of the aligner at the region, and determining whether the region satisfies a damage criterion based on the strength of the aligner at the region.

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.

Embodiments relate to an aligner breakage solution that tests damage to an aligner using machine learning. A method includes of training a machine learning model to predict damage to an orthodontic aligner includes gathering a training dataset comprising digital designs for a plurality of orthodontic aligners, wherein each digital design is associated with a respective orthodontic aligner of the plurality of orthodontic aligners, and wherein each digital design comprises metadata indicating whether the associated respective orthodontic aligner was damaged during manufacturing of the associated respective orthodontic aligner. The method further includes training the machine learning model using the training dataset, wherein the machine learning model is trained to process data from a digital design for an orthodontic aligner and to output a probability that the orthodontic aligner associated with the digital design will be damaged during manufacturing of the orthodontic aligner.

Embodiments relate to an aligner breakage solution that tests damage to an aligner using machine learning. A method includes of training a machine learning model to predict damage to an orthodontic aligner includes gathering a training dataset comprising digital designs for a plurality of orthodontic aligners, wherein each digital design is associated with a respective orthodontic aligner of the plurality of orthodontic aligners, and wherein each digital design comprises metadata indicating whether the associated respective orthodontic aligner was damaged during manufacturing of the associated respective orthodontic aligner. The method further includes training the machine learning model using the training dataset, wherein the machine learning model is trained to process data from a digital design for an orthodontic aligner and to output a probability that the orthodontic aligner associated with the digital design will be damaged during manufacturing of the orthodontic aligner.

A method for rapidly fabricating or repairing a fiber reinforced composite may include the use of a covalent adaptable network polymer (CAN) powder for encapsulating reinforcing fibers or welding to a CAN matrix. The fiber reinforced composite may be formed or repaired by applying CAN powder to reinforcing fibers or to a damaged area of a fiber reinforcing composite and compressing the CAN powder with the reinforcing fibers or the damaged area of the fiber reinforced composite at a relatively low temperature, temperature and processing time to form a CAN matrix. The method may be configured for fabricating a fiber reinforced composite having specific desired material properties by varying the arrangement and materials used.

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 liner assembly and method for lining a damaged pipe junction between a main and lateral pipe is provided. The liner assembly includes a main liner member and a lateral liner tube. A collar disposed near the juncture between the main liner member and lateral liner tube is impregnated with a liquid hydrophobic or hydrophilic material capable of curing in a flexible or rigid state with the material expanding in the presence of water. The hydrophobic or hydrophilic material can also be applied without the use of the collar. When the liner assembly is pressed against the main and lateral pipes, a portion of the hydrophilic or hydrophobic material is forced into the damaged pipe junction.

A three-dimensional selective repairing system, which is for selectively repairing an area of an unrepaired element by sintering, includes a scanning device, a comparing device, a spraying device and a sintering device. The scanning device is for scanning the area to obtain a repairing data. The comparing device is connected to the scanning device to receive the repairing data and produce a repairing parameter. The spraying device is controlled by the repairing parameter and includes an electrostatic generator which sprays a plurality of electrified pulverulent bodies through the electrostatic generator to form an electrified pulverulent film on a medium covered on the area. The sintering device is controlled by the repairing parameter to provide a power beam to selectively heat the electrified pulverulent film. The electrified pulverulent film melted or sintered to form a solid mass on the area.