Method for determining a manufacturing parameter for making an aligner with a desired aligner thickness using a thermoforming device operable for making the aligner by shaping a precursor aligner into the aligner using a mold representative of a dental archform, the method comprising: obtaining a 3D map associated with the dental archform; parsing the 3D map to determine a first property value and a second property value, the first property value being based on the 3D map and the second property value being derived from a 2D projection of the 3D map, and determining a thickness of the precursor aligner for obtaining the desired aligner thickness based on a ratio of the first property value and the second property value and a given value of an operating parameter of the thermoforming device; and sending instructions to the thermoforming device to make the desired aligner based on the determined operating parameter.

A mouth guard senses impact forces and determines if the forces exceed an impact threshold. If so, the mouth guard notifies the user of the risk for injury by haptic feedback, vibratory feedback, and/or audible feedback. The mouth guard system may also remotely communicate the status of risk and the potential injury. The mouth guard uses a local memory device to store impact thresholds based on personal biometric information obtained from the user and compares the sensed forces relative to those threshold values. The mouth guard and its electrical components on the printed circuit board are custom manufactured for the user such that the mouth guard provides a comfortable and reliable fit, while ensuring exceptional performance.

A mouth guard senses impact forces and determines if the forces exceed an impact threshold. If so, the mouth guard notifies the user of the risk for injury by haptic feedback, vibratory feedback, and/or audible feedback. The mouth guard system may also remotely communicate the status of risk and the potential injury. The mouth guard uses a local memory device to store impact thresholds based on personal biometric information obtained from the user and compares the sensed forces relative to those threshold values. The mouth guard and its electrical components on the printed circuit board are custom manufactured for the user such that the mouth guard provides a comfortable and reliable fit, while ensuring exceptional performance.

Disclosed are a seat frame assembly and a method of manufacturing the same whereby adhesion of a reinforcing material attached to a seat frame is improved to secure rigidity of the seat frame and process speed is improved. According to one embodiment disclosed herein, seat frame assembly includes: a frame configured such that a portion of each of opposite sides is bent forward, and supporting an upper body of an occupant; and side members joined to the opposite sides of the frame, respectively, each of the side members including a groove formed in a surface being in close contact with the frame, wherein a portion of the frame that is surface-joined to each of the side members is provided with a protrusion inserted into the groove.

Disclosed are a seat frame assembly and a method of manufacturing the same whereby adhesion of a reinforcing material attached to a seat frame is improved to secure rigidity of the seat frame and process speed is improved. According to one embodiment disclosed herein, seat frame assembly includes: a frame configured such that a portion of each of opposite sides is bent forward, and supporting an upper body of an occupant; and side members joined to the opposite sides of the frame, respectively, each of the side members including a groove formed in a surface being in close contact with the frame, wherein a portion of the frame that is surface-joined to each of the side members is provided with a protrusion inserted into the groove.

Described is a kit for moulding containers made of polymeric material, including a fixing base, having a plate-like shape, and a plurality of modules, which can be fixed to the fixing base and configured for defining, together with each other, a mould of a container to be moulded, where the mould has a containment space. The fixing base and the plurality of modules have reciprocal fixing elements for determining a stable and reversible coupling between the fixing base and the plurality of modules. Moreover, the base and/or the modules are designed to be connected to each other according to a plurality of different configurations and combinations in such a way that the mould can adopt a plurality of different shapes and dimensions.

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 thermoplastic forming tool includes a wand that includes a handle, a tip, and a conduit coupling the handle to the tip. The tip includes a heating element, a forming shoe, and a forming shoe support. During use, heat from the heating element heats the forming shoe to a temperature at or above the glass transition temperature of a thermoplastic polymer. The thermoplastic forming tool may be used to apply a thermoplastic material to a surface.

Implementations describe systems and methods for manufacturing and performing quality assessment of dental appliances. In one embodiment, a method of manufacturing a dental appliance comprises receiving, at a holder, a feature of the dental appliance, the feature comprising a first surface having a first shape, wherein the holder holds the feature of the dental appliance at a reference position. The method further includes automatically placing an object against the feature at the reference position using a robot arm, wherein the object comprises a second surface having a second shape that mates with the first shape. The method further includes applying pressure to press the object against the feature of the dental appliance and bonding the object to the feature of the dental appliance while applying the pressure.