Described herein are bioprinters comprising: one or more printer heads, wherein a printer head comprises a means for receiving and holding at least one cartridge, and wherein said cartridge comprises contents selected from one or more of: bio-ink and support material; a means for calibrating the position of at least one cartridge; and a means for dispensing the contents of at least one cartridge. Further described herein are methods for fabricating a tissue construct, comprising: a computer module receiving input of a visual representation of a desired tissue construct; a computer module generating a series of commands, wherein the commands are based on the visual representation and are readable by a bioprinter; a computer module providing the series of commands to a bioprinter; and the bioprinter depositing bio-ink and support material according to the commands to form a construct with a defined geometry.

Systems, methods, and devices for producing appliances for expansion of the arch of a patient are provided. An arch expanding appliance comprises a force generating portion to apply an arch expansion force and a retention portion to hold the force generating portion on the teeth. The retention portion comprises a flexible portion and a stiff portion. The force generating portion applies a force to move teeth associated with the flexible portion, while the stiff portion resists movement of its associated teeth. The orthodontic appliances can be designed according to the specifications provided herein and manufactured using direct fabrication methods.

According to some aspects, calibration techniques are provided that allow an optics module of an additive fabrication device to be installed and operated in a stereolithography device by a user. In particular, the calibration techniques enable the optics module to be calibrated in a way that only depends on the characteristics of the optics module, and not upon any other components of the stereolithography device. As a result, the techniques enable a user of a stereolithography device to remove one optics module and replace it with another, without it being necessary to repair or replace the whole device. In some cases, the calibration techniques may include directing light onto one or more fiducial targets within the stereolithography device and measuring light scattered from said targets.

According to some aspects, calibration techniques are provided that allow an optics module of an additive fabrication device to be installed and operated in a stereolithography device by a user. In particular, the calibration techniques enable the optics module to be calibrated in a way that only depends on the characteristics of the optics module, and not upon any other components of the stereolithography device. As a result, the techniques enable a user of a stereolithography device to remove one optics module and replace it with another, without it being necessary to repair or replace the whole device. In some cases, the calibration techniques may include directing light onto one or more fiducial targets within the stereolithography device and measuring light scattered from said targets.

Determining a quality score for a part manufactured by an additive manufacturing machine based on build parameters and sensor data without the need for extensive physical testing of the part. Sensor data is received from the additive manufacturing machine during manufacture of the part using a first set of build parameters. The first set of build parameters is received. A first algorithm is applied to the first set of build parameters and the received sensor data to generate a quality score. The first algorithm is trained by receiving a reference derived from physical measurements performed on at least one reference part built using a reference set of build parameters. The quality score is output via the communication interface of the device.

Apparatus (1) for additively manufacturing three-dimensional objects (2) by means of successive layerwise selective irradiation and consolidation of layers of a build material (3) which can be consolidated by means of an energy source (4), wherein a control unit (6) is provided that is adapted to receive or generate encrypted object data relating to at least one three-dimensional object (2) to be built in a, in particular additive, manufacturing process performed on the apparatus (1), wherein the or a control unit (6) is adapted to decrypt the encrypted object data for performing the additive manufacturing process.

A system is disclosed for use in additively manufacturing a structure. The system may include an additive manufacturing machine, a memory having computer-executable instructions stored thereon, and a processor. The processor may be configured to execute the computer-executable instructions to determine a plurality of tension vectors to be generated within the structure, and to generate a plan for manufacturing the structure. The plan may include tool paths that arrange continuous fibers within the structure to generate the plurality of tension vectors. The processor may also be configured to execute the computer-executable instructions to cause the additive manufacturing machine to follow the plan and manufacture the structure.

Systems and methods are described herein to determine positive or negative displacement distances for each pixel of an image of a graphical element. A displacement subsystem may determine surface displacement distances based on a function of a distance of each pixel to a nearest edge pixel of the image of the graphical element. A mapping subsystem may generate a surface displacement map of the graphical element to be applied to a surface of a three-dimensional object. The surface displacement map may be used to generate a mesh file and/or transmitted to a three-dimensional printing for printing on a surface of an object.

Systems and methods are described herein to determine positive or negative displacement distances for each pixel of an image of a graphical element. A displacement subsystem may determine surface displacement distances based on a function of a distance of each pixel to a nearest edge pixel of the image of the graphical element. A mapping subsystem may generate a surface displacement map of the graphical element to be applied to a surface of a three-dimensional object. The surface displacement map may be used to generate a mesh file and/or transmitted to a three-dimensional printing for printing on a surface of an object.

Examples of methods for model prediction are described herein. In some examples, a method includes predicting a compensated model. In some examples, the compensated model is predicted based on a three-dimensional (3D) object model. In some examples, a method includes predicting a deformed model. In some examples, the deformed mode is predicted based on the compensated model.