Abstract: The present subject matter relates to data storage in a computing system. In an example, the computing system includes a projector unit including a projector memory. The projector memory may store calibration data pertaining to a plurality of components of the computing system in the projector memory. The plurality of components may include the projector unit and a display unit. Further, the calibration data corresponds to information pertaining to calibrations performed during factory calibration of each of the plurality of components.

Abstract: In some embodiments, a photoreactive 3D printing system and methods comprise providing a system with a resin tub comprising a membrane, wherein the membrane rests on a physical tension element such that increasing downward force on the resin tub induces increasing tension on the membrane. The system also comprises a plurality of sensors comprising a resin bulk temperature sensor, and a print recipe comprising information for each layer in a 3D printed part to be built on the print platform. In some embodiments, a resin bulk temperature is measured, and the information in the print recipe, including information related to the downward force on the resin tub, is updated during a printing run based on the resin bulk temperature measurement. In some embodiments, the print recipe can be updated during a printing run based on input from at least two sensors of the plurality of sensors.

Abstract: Systems and methods for managing an additive manufacturing production line include an additive manufacturing machine having a first sensor and an auxiliary equipment having a second sensor. A server includes security protocols, a workflow module, an industrial Internet of things (IIoT) module and a machine learning module. The workflow module, IIoT module, machine learning module, additive manufacturing machine and auxiliary equipment are in communication with each other using the security protocols. The machine learning module processes feedback from the first sensor and the second sensor to control operation of the additive manufacturing machine through the workflow module and the IIoT module.

Abstract: A photoreactive additive manufacturing system comprises a resin tub, a membrane, and a resin pool confined by the resin tub and the membrane. In some embodiments, the membrane comprises a polymeric blend comprising a first polymer and a second polymer, and the first polymer is a fluoropolymer. In some embodiments, the membrane comprises a polymer and an additive to control the free volume of the polymer.

Abstract: Methods of producing an additive manufactured part with a smooth surface finish include providing a spinning device that has a platform. The part is secured to the platform, where the part is at least partially wetted with uncured resin from a resin pool. The platform is rotated, where a first portion of the uncured resin is retained on the part and a second portion of the uncured resin is removed. The part is cured after the rotating. In some embodiments, methods include creating a compensated design for a part by modifying a desired design to compensate for a first portion of an uncured surface finish material to be retained on the part, and forming the part with an additive manufacturing process according to the compensated design.

Abstract: Disclosed is a platform for generating and delivering 3-D printed wearables. The platform includes scanning, image processing, machine learning, computer vision, and user input to generate a printed wearable. Scanning occurs in a number of ways across a number of devices. The variability of scanning generates a number of scanning output types. Outputs from the scanning process are normalized into a single type during image processing. The computer vision and machine learning portions of the platform use the normalized body scan to develop models that may be used by a 3D printer to generate a wearable customized to the user. The platform further provides opportunities for the user to check the work of the scanning, image processing, computer vision, and machine learning. The user input enables the platform to improve and inform the machine learning aspects.

Abstract: An additive manufacturing system, and associated methods, comprise an image projection system comprising a plurality of image projectors that project a composite image onto a build area within a resin pool. The composite image comprises a plurality of sub-images arranged in an array. The properties of each sub-image and the alignment of the position of each sub image within the composite image can be adjusted using a stack of filters comprising: 1) an irradiance mask that normalizes irradiance, 2) a gamma adjustment mask that adjusts sub-image energy based on a reactivity of the resin, 3) a warp correction filter that provides geometric correction, and 4) an edge blending bar at one or more sub-image edges.

Abstract: Apparatuses and methods for detecting failures in a photoreactive 3D printing system include a light-emitting device configured to emit light into and along a plane of a membrane or of a substrate below the membrane. The membrane is a bottom surface of a resin tub. The light has a wavelength that is different from a photopolymerization wavelength of resin in the resin tub. The membrane or substrate is transparent to the wavelength of the light and to the photopolymerization wavelength. An imaging device is oriented to capture an image of the light emitted from the membrane or the substrate. A detection system is in communication with the imaging device, the detection system being configured to detect a spatial or temporal disruption in the image.

Abstract: In some embodiments, a photoreactive 3D printing system and methods comprise providing a system with a resin tub comprising a membrane, wherein the membrane rests on a physical tension element such that increasing downward force on the resin tub induces increasing tension on the membrane. The system also comprises a plurality of sensors comprising a resin bulk temperature sensor, and a print recipe comprising information for each layer in a 3D printed part to be built on the print platform. In some embodiments, a resin bulk temperature is measured, and the information in the print recipe, including information related to the downward force on the resin tub, is updated during a printing run based on the resin bulk temperature measurement. In some embodiments, the print recipe can be updated during a printing run based on input from at least two sensors of the plurality of sensors.

Abstract: Data is captured by an image capture device of an input object that has a first retroreflective pattern and a second, different retroreflective pattern on a surface of the input object. A position of the input object in three dimensions is determined based on the received data.

Abstract: A three dimensional (3D) printer generates 3D articles of manufacture through the selective hardening of light curable liquid resins. The 3D printer includes a vessel, a fixture, a movement mechanism, a light engine, a controllable pressure source, and a controller. The vessel contains light curable resin with a bottom portion including a transparent sheet. The light engine selectively illuminates a lower face of a 3D article of manufacture being formed through the transparent sheet. The fixture and movement mechanism selectively translate the lower face up and down which generates a varying pressure of the resin against a top surface of the transparent sheet. The controllable pressure source applies a gas pressure to a bottom surface of the transparent sheet to offset the varying pressure of the resin.

Abstract: Examples disclosed herein describe, among other things, a computing system. The computing system may include, for example, a touch-sensitive surface to obtain a capacitive signature representing an object disposed on the touch-sensitive surface, and a camera to obtain supplemental data representing the object. The system may also include an identification engine to obtain, based at least on the capacitive signature, identification data associated with the object, and to obtain, based at least on the supplemental data, at least one characteristic of the object.

Abstract: Examples disclosed herein relate to manipulating three-dimensional image in response to user gestures. Examples include rendering three-dimensional images based on three-dimensional image data, receiving sensor data corresponding to a user gesture, and recognizing the user gesture based on the sensor data Based on the recognized user gesture and the three-dimensional image data, determining and performing a function to update the corresponding three-dimensional image data and, consequently, alter the rendered three-dimensional images. The three-dimensional image data can be generated by a sensor coupled to the same computing device used to render the three-dimensional images.

Abstract: A three dimensional printing system includes a resin vessel, a light engine, a movement mechanism, a fixture, and a controller. The resin vessel is for containing a photocurable resin and has a lower portion with a transparent sheet. The light engine is configured to selectively project radiation up through the transparent sheet and over a build plane. The fixture is coupled to the movement mechanism and has a lower face that faces the transparent sheet. The controller is configured to operate the light engine to solidify a particle trapping sheet proximate to the build plane thereby trapping particles that extend upwardly from the transparent sheet into the build plane.

Abstract: A three dimensional printing system includes a print engine, a fixture, and a controller. The print engine further includes a vessel, a light engine, and a movement mechanism. The vessel is for containing a photocurable resin and has a lower portion with a transparent sheet defining a lower surface of the vessel. The light engine is configured to project radiation up through the transparent sheet over a lateral build plane which defines a maximum addressable lateral range of the light engine. The fixture has a lower face that faces downwardly. The controller is configured to: (1) position the lower face of the fixture at the build plane, and (2) operate the light engine and movement mechanism to solidify a particle trapping sheet proximate to the transparent sheet and substantially spanning the build plane and to thereby trap particles that are present along the build plane.

Abstract: Disclosed is a platform for generating and delivering 3-D printed wearables. The platform includes scanning, image processing, machine learning, computer vision, and user input to generate a printed wearable. Scanning occurs in a number of ways across a number of devices. The variability of scanning generates a number of scanning output types. Outputs from the scanning process are normalized into a single type during image processing. The computer vision and machine learning portions of the platform use the normalized body scan to develop models that may be used by a 3D printer to generate a wearable customized to the user. The platform further provides opportunities for the user to check the work of the scanning, image processing, computer vision, and machine learning. The user input enables the platform to improve and inform the machine learning aspects.

Abstract: A three dimensional printing system includes an appliance tier, a processing tier, and a work cell tier. The appliance tier (1) defines a client interface for receiving process parameters and data pipeline parameters for a given production job, and (2) provides instructions based upon the process parameters. The processing tier processes the data pipeline parameters and outputs a sequence of slice data arrays pursuant to a print engine platform. The work cell tier includes a work cell server and a plurality of functional cells. A functional cell can be a print engine, a post processing station, an inspection station, or a robotic transport mechanism. The work cell server transfers the slice data arrays to one or more print engines. Based upon the instructions from the appliance server tier the work cell server sequentially operates the plurality of functional cells to produce a three dimensional article of manufacture.

Abstract: A three dimensional printing system includes a print engine, a fluid processing station, a fixture, a transport mechanism, and a controller. The fluid processing station includes a fluid injector port coupled to a fluid source. The fixture has a lower portion with a lower face and a first fluid conduit coupled to the lower face. The controller is configured to: (a) Operate the print engine to form a three dimensional article of manufacture onto the lower face and thereby defining an internal cavity and an inlet port that couples the internal cavity to the first fluid conduit of the fixture. (c) Transfer the fixture to the fluid processing station. (d) Couple the fluid injector port of the fluid processing station to the first fluid conduit of the fixture. (e) Operate the fluid source to inject fluid out of the fluid injector port and into the internal cavity.

Abstract: A dock connector support structure is to mate with a corresponding structure of a mating connector. A magnet magnetically attaches the dock connector support structure to the corresponding structure of the mating connector. A signal contact and a further contact are supported by the dock connector support structure. The signal contact is to communicatively connect with a contact of the mating connector. The further contact is selected from among a high-power contact to supply power in excess of five watts, and a wireless element contact to connect to a wireless communication element.

Abstract: A three dimensional printing system includes a light engine having a spatial light modulator for curing individual layers of a photocure resin to form a three dimensional article of manufacture. The light engine is configured to: (1) receive a slice image that defines an array of energy values for curing a layer, (2) process the slice image to define an image frame compatible with the spatial light modulator, (3) receive an on signal, (4) activate the first light source in response to the on signal; (5) repeatedly send the first defined image frame to the first spatial light modulator during a defined cure time for the single layer of resin; (6) receive an off signal; (7) deactivate the first light source in response to the off signal; and (8) repeat steps (1)-(7) until the three dimensional article of manufacture is formed.