The invention relates to method and system for extracting and classifying manufacturing features from a three-dimensional (3D) model of a product. The method includes generating graph corresponding to product based on 3D model of product. The graph includes nodes corresponding to faces of the product and links corresponding to edges of product. The graph generation includes determining adjacency attribute matrix from the 3D model. The method further includes assigning scores to each of links; determining a cumulative score for each of links; extracting sub-graphs from graph by discarding one or more links from links; extracting node parameters and edge parameters from 3D model of product; determining node feature vector based on node parameters and edge feature vector based on edge parameters; and determining a type of manufacturing feature based on corresponding node feature vector and edge feature vector using a Graph Neural Network (GNN) model.

A method of generating printhead actuation data for printing a 3-D object, the method comprising the steps of: slicing, for a given 3-D object having 3-D object data corresponding thereto, the 3-D object data into a series of layers; and generating a 2-D vector graphics image associated with each layer, wherein the colour and/or the density of colour within the 2-D vector graphics image at a given point is used to determine at least one property of the material to be ejected, during printing, at that given point in the image.

An apparatus (100) for additive manufacturing of a part of an article from a first material comprising particles having a first composition is provided. The apparatus (100) comprises a layer providing means (110) for providing a first support layer from a second material comprising particles having a second composition, wherein the first composition and the second composition are different. The apparatus (100) comprises a concavity defining means (120) for defining a first concavity in an exposed surface of the first support layer. The apparatus (100) comprises a depositing means (130) for depositing a part of the first material in the first concavity defined in the first support layer. The apparatus (100) comprises a levelling means (140) for selectively levelling the deposited first material in the first concavity. The apparatus (100) comprises a first fusing means (150) for fusing some of the particles of the levelled first material in the first concavity by at least partially melting said particles, thereby forming a first part of the layer of the article. In this way, the second material may be thus used to provide a support structure during additive manufacturing of the part of the article.

A bearing support designed to be secured to a stationary turbojet element for supporting a journal, including a cone which widens from a central portion for supporting the journal to a portion for securing to the stationary element, a cylindrical body extending the portion for securing to the stationary element while surrounding the cone, an upstream skirt carried by the cone for defining an upstream enclosure for the central portion, and at least one downstream revolution element carried by the cone for defining a downstream enclosure for the central portion. The bearing support can be made as a single part produced by additive manufacturing.

A method and a system for fatigue life prediction of additive manufactured components accounting for localized material properties. The method and the system is employed for prediction of fatigue life properties of an additive manufactured element, with a data collection step in which several data points for maximum stress vs. cycles to failure for different given processing steps of the element are collected, with a training step in which a Machine Learning system is trained with the collected data, and with an evaluation step in which the trained Machine Learning system is confronted with actual processing steps and used to predict the fatigue life properties of the element.

Methods may involve accepting an order for a product to be manufactured and identification of a product file meeting the specification, the product file comprising instructions for manufacturing the product. Pre-manufacture verification of manufacturer capabilities and product precursors may be accepted. Operational parameters to enable an additive manufacturing device to manufacture the product may be sent as discrete packets. At least one packet may be sent only after receipt of confirmation that at least another previous layer is complete and associated operational parameters for the at least another previous layer have been deleted. In-manufacture verification of the operational parameters utilized by the additive manufacturing device when manufacturing the product may be accepted. At each stage, a blockchain for certifying characteristics of the product may be updated to associate data representative of workflows for the product with an encrypted, secure identifier utilizing a secure, distributed transaction ledger.

A system and method including receiving a data model representation of a part, the data model representation including at least one layer of the part and inner and outer contours for the at least one layer; determining a hatch pattern for each layer of the at least one layer of the part, the hatch pattern for each layer being dependent on the inner and outer contours for each respective layer; generating a record of the determined hatch pattern for each layer, the record including locations for the hatch pattern for each layer; and saving the record of the determined hatch pattern for each layer of the part. In some aspects, the record of the determined hatch pattern for each layer of the part may be used in an additive manufacturing process.

An apparatus and method for removing support material from and/or smoothing surfaces of an additively manufactured part is disclosed. The apparatus may include a chamber, a support surface within the chamber, one or more nozzles within the chamber, a tank positioned below the nozzles, and a vision system. The vision system includes one or more cameras and other imagery obtaining sensors located in the chamber. The cameras and sensors obtain imagery of the additively manufactured part as it is being sprayed to finish the part. The imagery is displayed on a display panel located outside the apparatus or stored for later playback.

An apparatus and method for removing support material from and/or smoothing surfaces of an additively manufactured part is disclosed. The apparatus may include a chamber, a support surface within the chamber, one or more nozzles within the chamber, a tank positioned below the nozzles, and a vision system. The vision system includes one or more cameras and other imagery obtaining sensors located in the chamber. The cameras and sensors obtain imagery of the additively manufactured part as it is being sprayed to finish the part. The imagery is displayed on a display panel located outside the apparatus or stored for later playback.

Additive manufacturing systems, methods, and computer readable media may be configured to perform a calibration. Calibrating an additive manufacturing system may include comparing a digital representation of one or more calibration marks to a calibration-CAD model that includes one or more model calibration marks, and applying a calibration adjustment to one or more CAD models based at least in part on the comparison. The digital representation of the one or more calibration marks may have been obtained using a vision system, and the one or more calibration marks may have been printed on a calibration surface according to the calibration-CAD model using an additive manufacturing machine. The calibration adjustment may be configured to align the one or more CAD models with one or more coordinates of the additive manufacturing system.