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.

The invention provides a method and a device for judging the printability of food materials, and the method includes the following: acquire the plasticity of the food materials to be judged; acquire the measured values of each of the influencing factors of the 3D printing effect of food materials to be judged; and acquire the first correlation value between the plasticity and each of the influencing factors and the second correlation value between each of the influencing factors; in addition, acquire the maximum influencing factor of the 3D printing effect of food materials to be judged, and normalize the measured values according to the measured value of the maximum influencing factor and the second correlation value; what's more, construct a judging model. And the invention can accurately judge the printability of the same food materials under different conditions by specific numerical values.

A system for managing additive manufacturing (AM) may comprise a datastore configured to store entries pertaining to a design for a three-dimensional (3D) object. The entries may be configured to include a respective set of parameters for an AM process. The parameters may be configured to cause an AM system to produce 3D objects having anisotropic mechanical properties that satisfy specified anisotropic mechanical requirements. The system may further comprise a design manager configured to determine a set of parameters that optimally satisfy the specified requirements, e.g., satisfy the requirements at a minimal cost.

A method for additive fabrication by 3D printing includes processing model data representing material transition boundaries of an object to be printed to form build data for use in controlling printing of a plurality of successive layers to form the object, the build data comprising, for each location of a plurality of locations in a two-dimensional arrangement, material transition data for representing heights of material transitions in a third dimension, and repeating for each layer of the plurality of successive layers, receiving surface height data representing a height of a partial fabrication of the object at respective locations of a plurality of locations on a surface of the partial fabrication for each location of the plurality of locations, using the height at the location to access the material transition data corresponding to the location in the build data, and using the material transition data to determine material to be deposited at that location, and causing emission of the determined material at each location of the plurality of locations, thereby causing printing of the layer.

A method for generating a structure mesh of a structure that is to be built-up in a three-dimensional build-up volume in an additive manufacturing build-up process. The structure includes at least one specimen and at least one support for supporting the at least one specimen on a boundary of the build-up volume. The structure mesh may be used in simulating the additive manufacturing build-up process of the structure 2. A use of a structure mesh 9, a computer program, and a computer-readable medium are also provided.

An STL model slicing method includes: reading and loading an STL model; obtaining a first slice plane; according to a first set thickness, making the first slice plane be horizontally tangential to an STL model to obtain a first profile curve, which is a profile curve of a tangent plane of the STL model and the first slice plane; determining whether the profile curve contains a physical portion of the STL model; if the profile curve contains the physical portion of the STL model, filling the physical portion with white to obtain a white portion; determining a non-physical portion in the profile curve according to the physical portion; filling the non-physical portion with black to form a mask of the tangent plane; and projecting the mask onto a liquid photosensitive resin by means of a first 3D printer, and then curing the white portion to be a first cured profile.

In an example, a method includes processing an input signal using a finite element model (FEM) to generate an output signal. The input signal, the output signal, and the FEM are associated with a simulated additive manufacturing process. The method also includes adjusting the input signal based on comparing the output signal to a reference signal and thereafter processing the input signal using the FEM to generate the output signal. Examples also include a computer readable medium and a computing device related to the method.

Embodiments of the systems and methods disclosed herein can related to an additive manufacturing process involving the use of an algorithm to determine the optimal build orientation of a build that will result in minimal thermal distortion during the build. The algorithm includes a momentum of inertia based objective function, wherein the output of the objective function can be used as a proxy for thermal distortion. In some embodiments, objective function can be configured as a mathematical matrix with mathematical variables modeling rotation angles of a build. The rotation angles can be in the x-, y-, and/or z-geometric planes of the build with respect to the build plate. An objective function output can be calculated for each iterative rotation. The minimum objective function output can be used as the rotation representing the orientation that would result in minimal thermal distortion.

A ceramic subassembly manufactured by a 3D-printing process is described. The ceramic subassembly comprises a ceramic substrate having a sidewall extending to spaced apart first and second end surfaces. At least one via extends through the substrate from the ceramic substrate first end surface to the ceramic substrate second end surface. In cross-section, the via has a square-shape with rounded corners.

A method of compensating for sintering warpage due to powder spreading density variations in binder jetting additive manufacturing, including receiving an initial design file defining an object geometry, representing the object geometry as a part mesh and filling the mesh with a grid of voxels to create a voxel grid, each voxel having at least one shrinkage coefficient. For each voxel, determining a distortion factor caused by a powder density variation induced during a powder spreading process and adjusting the at shrinkage coefficient of each voxel according to its respective distortion factor. Next, a shrinkage of the grid of voxels is simulated according to a sintering process. A negative compensation is applied to the voxel grid, according to the simulated shrinkage of the grid of voxels, to form a compensated voxel grid. Lastly, the change in the voxel grid is mapped to the compensated voxel grid onto the part mesh to create a pre-processed compensated part mesh.