An example method for use in additive manufacturing comprises operating, by a processor, on object model data, the object model data describing an object to be generated in an additive manufacturing process. The example method comprises determining, by a processor, based on the object model data, whether a portion of the object to be generated is identified as an object of interest. In response to a determination that a portion of the object to be generated is identified as an object of interest, then the method comprises determining, by a processor, whether a policy-based action is associated with the object of interest. In response to a determination that a policy-based action is associated with the object of interest, then the method comprises executing, by a processor, the policy-based action, and generating, by a processor, the object according to the policy-based action.

This disclosure describes manufacturing of a device configured to guide bone and tissue regeneration for a bone defect. A method may include receiving a three-dimensional digital model or scan representing an anatomical feature to be repaired, generating a simulated membrane using the three-dimensional model, the simulated membrane being configured to cover the anatomical feature to be repaired, generating a digital two-dimensional flattened version of the simulated membrane, and generating code or instructions configured to cause a three-dimensional printer or milling device to produce a trimming guide that includes an opening corresponding to the flattened version of the simulated membrane and that further includes a cut-out configured to hold a premanufactured membrane. The trimming guide may be operative as a guide for marking or cutting the premanufactured membrane through the opening while the premanufactured membrane is held in the cut-out.

A method for producing bone grafts using 3-D printing is employed using a 3-D image of a graft location to produce a 3-D model of the graft. This is printed using a 3-D printer and a printing medium that produces a porous, biocompatible, biodegradable material that is conducive to osteoinduction. For example, the printing medium may be PCL, PLLA, PGLA, or another approved biocompatible polymer. In addition such a method may be useful for cosmetic surgeries, reconstructive surgeries, and various techniques required by such procedures. Once the graft is placed, natural bone gradually replaces the graft.

Examples of methods for point cloud alignment are described herein. In some examples, a method includes orienting a model point cloud or a scanned point cloud based on a set of initial orientations. In some examples, the method includes determining, using a first portion of a machine learning model, first features of the model point cloud and second features of the scanned point cloud. In some examples, the method includes determining, using a second portion of the machine learning model, correspondence scores between the first features and the second features based on the set of initial orientations. In some examples, the method includes globally aligning the model point cloud and the scanned point cloud based on the correspondence scores.

A method for processing a query for data stored in a distributed database includes receiving, at an edge device, the query for data stored in the distributed database from a query device. The method includes causing, by the edge device, the query to be stored on a dynamic ledger maintained by the distributed database. The method includes detecting, by the edge device, that summary data has been stored on the dynamic ledger. The method includes generating, by the edge device, an approximate response to the query based on the summary data stored on the dynamic ledger. The method includes transmitting, to the query device, the approximate response.

A system and a method of enhancing reliability of fused deposition modelling (FDM) process are disclosed. The system instructs a three-dimensional (3D) printer to employ a 3D printer nozzle for dispensing material for forming a 3D print object. The system receives images from a nozzle camera. The nozzle camera captures images of the 3D printer nozzle dispensing the material. The system detects printing failures from the images of the 3D printer nozzle. The system creates bounding boxes around the printing failures. The system classifies the printing failures based on type of errors. The system adjusts printing parameters or terminates the printing process based on the printing failures classified. The system further includes a bracket for positioning the nozzle camera for capturing images of the 3D printer nozzle.

A process for producing an article by three-dimensional printing includes applying a 1,1-di-activated vinyl compound-containing liquid binder over a predetermined area of a layer of solid particles. The liquid binder infiltrates gaps between the solid particles to form a first cross-sectional layer of an article, and the 1,1-di-activated vinyl compound reacts to solidify the liquid binder and bind the solid particles in the first cross-sectional layer of the article. Also provided is an article produced by the three-dimensional printing process, set forth herein.

Method for determining an operational parameter for an imaging device for imaging at least one part of a build plane, in particular for a determination device for determining at least one parameter of an energy beam for an apparatus for additively manufacturing three-dimensional objects, comprising the steps: determining at least one spot parameter that relates to an extension of a spot, in particular a spot of an energy beam, in a determination plane; determining a difference between the determined spot parameter and a nominal spot parameter; determining an imaging parameter of the imaging device based on the determined difference adjusting the imaging parameter based on the determined difference.

A method of improving production performance of an additive manufacturing system includes obtaining a first production plan and a second production plan, different from the first production plan, for the manufacture of a plurality of objects using a fleet of additive manufacturing apparatus, automatically generating a first allocation of a first quantity of the plurality of objects to the fleet of additive manufacturing apparatus using the first production plan, automatically generating a second allocation of a second quantity of the plurality of objects to the fleet of additive manufacturing apparatus using the second production plan, comparing a production performance of the first and second quantity of the plurality of objects after being manufactured by the fleet of additive manufacturing apparatus, and based on the comparison of the production performance, automatically regenerating the first and second allocations to change the first and second quantities.

A manipulator device such as a robot arm that is capable of increasing manufacturing throughput for additively manufactured parts, and allows for the manipulation of parts that would be difficult or impossible for a human to move is described. The manipulator can grasp various permanent or temporary additively manufactured manipulation points on a part to enable repositioning or maneuvering of the part.