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.

Systems and methods for lens creations are disclosed. The method includes initiating light transmission from a light source through a diffuser into a container holding resin and a substrate. The light transmission is performed according to an irradiation pattern wherein each point in the resin is illuminated by at least 10% of the diffuser. This causes a lens to be formed. To achieve this illumination, at least 15% of the diffuser receives light from the light source. Further, a diameter of the diffuser is greater than or equal to a diameter of the substrate. The system performing the methods includes a polymerization apparatus and may include a resin conditioning and reservoir apparatus, a metrology unit, a resin drainage apparatus and an optional postcuring apparatus.

Systems and methods for lens creations are disclosed. The method includes initiating light transmission from a light source through a diffuser into a container holding resin and a substrate. The light transmission is performed according to an irradiation pattern wherein each point in the resin is illuminated by at least 10% of the diffuser. This causes a lens to be formed. To achieve this illumination, at least 15% of the diffuser receives light from the light source. Further, a diameter of the diffuser is greater than or equal to a diameter of the substrate. The system performing the methods includes a polymerization apparatus and may include a resin conditioning and reservoir apparatus, a metrology unit, a resin drainage apparatus and an optional postcuring apparatus.

A method of configuring robot fleets with additive manufacturing capabilities includes receiving a request for a robotic fleet to perform a job and determining a job definition data structure based on the request. The job definition data structure defines a set of tasks to be performed in furtherance of the job. The method includes determining a provisioning configuration for each additive manufacturing system based on the task to which the additive manufacturing system is assigned, the set of 3D printing requirements, the printing instructions, and the status of the additive manufacturing system. The method includes provisioning the additive manufacturing system based on the provisioning configuration and a set of additive manufacturing system provisioning rules that are accessible to an intelligence layer to ensure that provisioned systems comply with the provisioning rules. The method includes deploying the robotic fleet based on the robotic fleet configuration data structure to perform the job.

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 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.

An example device includes: a memory storing instructions; and a processor connected to the memory. The instructions are to cause the processor to: receive predetermined locations of a fluidic input location and fluidic output locations at a three-dimensional (3D) object model; generate respective paths between the fluidic input and each of the fluidic outputs via associated portions of the 3D object model; replace the respective paths with respective hollow connectors that have respective fluidic resistance selected such that each of the fluidic outputs have a predetermined flow rate from the fluidic input to the fluid outputs; and store, at the memory, data indicative of locations and dimensions of the respective hollow connectors, relative to the fluidic input and the fluidic outputs, the data for use by a three-dimensional printer to print a part that includes the fluidic input, the fluidic outputs and the respective hollow connectors.

An example device includes: a memory storing instructions; and a processor connected to the memory. The instructions are to cause the processor to: receive predetermined locations of a fluidic input location and fluidic output locations at a three-dimensional (3D) object model; generate respective paths between the fluidic input and each of the fluidic outputs via associated portions of the 3D object model; replace the respective paths with respective hollow connectors that have respective fluidic resistance selected such that each of the fluidic outputs have a predetermined flow rate from the fluidic input to the fluid outputs; and store, at the memory, data indicative of locations and dimensions of the respective hollow connectors, relative to the fluidic input and the fluidic outputs, the data for use by a three-dimensional printer to print a part that includes the fluidic input, the fluidic outputs and the respective hollow connectors.

An additive manufacturing system includes an ultrasonic inspection system integrated in such a way as to minimize time needed for an inspection process. The inspection system may have an ultrasonic phased array integrated into a build table for detecting defects in each successive slice of a workpiece and such that each slice may be re-melted if and when defects are detected.

An additive manufacturing system includes an ultrasonic inspection system integrated in such a way as to minimize time needed for an inspection process. The inspection system may have an ultrasonic phased array integrated into a build table for detecting defects in each successive slice of a workpiece and such that each slice may be re-melted if and when defects are detected.