In an example, a method includes obtaining a compensation model characterising a relationship between a location of an object within a fabrication chamber of an additive manufacturing apparatus and a geometrical compensation to be applied to a model of said object, wherein different geometrical compensation values are associated with different locations. In some examples the method further includes determining a magnitude of a dimension parameter of each object of a set of objects to be generated in a build operation. The method may include determining a spatial arrangement of objects to be generated within the build volume, based on the magnitude of the dimension parameters and the geometrical compensation values for an intended location of object generation in the spatial arrangement.

A method includes: accessing a part model comprising a three-dimensional representation of a part; accessing a material profile relating exposure energy and three-dimensional polymerization geometry of a material selected for the part; segmenting the part model into a set of model layers; detecting a first upward-facing surface in the part model; defining a first model volume in a first model layer, adjacent the first upward-facing surface, and fully contained within the part model; based on the material profile, calculating a first exposure energy predicted to yield a first three-dimensional polymerization geometry approximating a first contour of the first upward-facing surface when projected onto the material during a build; populating a first print image with the first exposure energy in a first image area corresponding to the first model volume in the first model layer; and storing the first print image in a print file for the part.

A medical implant which comprises a porous lattice is fabricated with additive manufacturing techniques such as direct metal laser sintering. A CAD model of the porous lattice is created by defining a trimming volume and merging some lattice elements with adjacent solid substrate.

A method of processing data for additive manufacturing of a 3D object comprises: receiving graphic elements defining a surface of the object, and an input color texture to be visible over a surface of the object; transforming the elements to voxelized computer object data; constructing a 3D color map having a plurality of pixels, each being associated with a voxel and being categorized as either a topmost pixel or an internal pixel. Each topmost pixel is associated with a group of internal pixels forming a receptive field for the topmost pixel. A color-value is assigned to each topmost pixel and each internal pixel of a receptive field associated with the topmost pixel, based on the color texture and according to a subtractive color mixing. A material to be used during the additive manufacturing is designated based on the color-value.

A method comprises: obtaining object model data defining an object or objects to be built by a three-dimensional printing apparatus; determining an effect of carrying out a post-build process on the object or objects, wherein the determining uses the object model data and a computer-implemented evaluation of the post-build process and is carried out prior to building the object or objects, identify portions of the object or objects that would not be processable by the cleaning process; and outputting an indication of non-processability of portions of the object or objects are determined not to be processable by the post-build process.

A method for generating a path for wire arc additive manufacturing is provided in this disclosure, which relates to the technical field of additive manufacturing, and includes following steps: generating a model in which a three-dimensional model is established according to angle constraint of the wire arc additive manufacturing; layering the model in which the three-dimensional model is layered along a height direction; selecting discrete points in which a plurality of discrete points are selected according to curve curvature for different layers of the model; obtaining coordinates of the discrete points; determining a printing direction; obtaining coordinates of the discrete points and corresponding printing directions; and generating a control program. The method according to the disclosure is simple, has a wide application range, can satisfy printing of complex shapes, and can serve to well form for structures with maximum printing inclination of 60 degrees, thus improving forming effect of printing.

The present invention is directed to systems and methods for automatically generating mechanical part designs and manufacturing specifications/instructions that account for geometric distortions that may occur during manufacturing or post-processing.

The present disclosure relates generally to hernia repair, and more specifically to forming a custom fitted mesh based on a topographical map of at least one portion of a patient's abdominal cavity. Some specific aspects of the present disclosure relate to exemplary methods, systems, devices and computer readable mediums for forming a custom fitted mesh based on a topographical map of the at least one portion of the patient's abdominal cavity.

A method for manufacturing a ceramic substrate by a 3D-printing process is described. The method comprises operating a 3D-printer to print a green-state ceramic body having a height extending to spaced apart first and second end surfaces and at least one via extending at least part-way along the height of the green-state ceramic body from the first end surface toward the second end surface. Then, the green-state ceramic body is sintered to provide the ceramic substrate with the at least one via. In cross-section, the at least one via has a square-shaped via with rounded corners.

The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.