A 3D printing method providing an improved manufacturing process by providing a plurality of layers forming at least a part of the component, wherein the plurality of layers contains at least one first layer part and at least one second layer part, wherein the at least one first layer part and the at least one second layer part have been manufactured with different manufacturing speeds.

The present disclosure relates to a computer implemented method for three-dimensional (3D) printing, for example for 3D printing spare parts for a vehicle The present disclosure also relates to a corresponding arrangement and to a computer program product.

A method of printing a 3D object comprising a plurality of discrete elements, the method comprising: receiving a 3D digital model of a shell group comprising one or more shells representing the plurality of discrete elements; defining, in the 3D digital model, a unifying shell to at least partly envelop one or more shells of the shell group to provide a unified digital model comprising the shell group and the unifying shell; assigning the unifying shell with at least one transparent building material that is transparent upon dispensing and solidifying thereof; assigning the one or more shells of the shell group with one or more building materials; and dispensing, in layers, the at least one transparent building material and the one or more building materials according to the unified digital model to form a 3D object comprising one or more discrete elements that are at least partly connected by a unifying element.

An apparatus for generating a layout for an additive manufacturing of an electric drive for a disc rotor. The disc rotor is adapted for being driven by a magnetic field. The apparatus comprises an input module configured to receive one or more input parameters. The apparatus further comprises a generating module configured to generate, from the one or more input parameters, a layout of a plurality of coil structures, wherein the plurality of coil structures is adapted to generate the magnetic field by an electric current, and a layout of a control structure, wherein the control structure is adapted to connect the plurality of coil structures with a connector for a supply of the electric current, and to distribute the electric current to the plurality of coil structures in order to drive the disc rotor.

A method for performing a thermal simulation of an additive manufacturing process that includes accessing a voxel model representing a representative system using one or more processors. The voxel model includes a first transition associated with a first group of one or more voxels transitioning between liquid and vapor, a second transition associated with a second group of one or more voxels transitioning between solid and liquid, a third transition associated with a third group of one or more voxels undergoing sinter, and a fourth transition associated with a fourth group of one or more voxels undergoing a solid state phase change. The method determines a flux imbalance metric based on a flux, a rate of change of the first transition, a rate of change of the second transition, a rate of change of the third transition, and a rate of change of the fourth transition. The method determines one or more temperatures for the representative system based on the flux imbalance metric.

A three-dimensional object model is divided into slices that are targeted for an additive manufacturing process operable to deposit material at a variable deposition size ranging between minimum and maximum printable feature sizes. For each of the slices, a thinning algorithm is applied to contours of the slice to form a meso-skeleton. Topological features of the thinned slice are reduced over a number of passes such that a portion of the meso-skeleton is reduced to a single pixel wide line. Based on the number of passes, a slice-specific printable feature size within the range of the minimum and maximum printable feature sizes is determined. An adjusted slice is formed by sweeping the meso-skeleton with the slice-specific printable feature size. The adjusted slices are assembled into an object model which is used to create a manufactured object.

Determining a quality score for a part manufactured by an additive manufacturing machine based on build parameters and sensor data without the need for extensive physical testing of the part. Sensor data is received from the additive manufacturing machine during manufacture of the part using a first set of build parameters. The first set of build parameters is received. A first algorithm is applied to the first set of build parameters and the received sensor data to generate a quality score. The first algorithm is trained by receiving a reference derived from physical measurements performed on at least one reference part built using a reference set of build parameters. The quality score is output via the communication interface of the device.

Examples of methods for model prediction are described herein. In some examples, a method includes predicting a compensated model. In some examples, the compensated model is predicted based on a three-dimensional (3D) object model. In some examples, a method includes predicting a deformed model. In some examples, the deformed mode is predicted based on the compensated model.

An example method includes obtaining a geometric compensation profile characterising a relationship between a location of an object within a first fabrication volume having a first depth of build material and a geometrical compensation to be applied to a model of said object. The method further includes determining that a first object is to be generated in a first build operation having a second fabrication volume which has a second depth. The method may further include determining a geometrical compensation to be applied to a model of the first object by: determining a first offset of the first object from the top of the second fabrication volume; identifying the geometrical compensation value associated with a location having the first offset from the top of the first fabrication volume; and determining the compensation to be applied to the model of the first object based on the identified geometrical compensation value.

Two or more computational services are defined that each represent a respective different manufacturing capability used to partially create a target part model. A common space shared among the computational services is defined to reference the target part model and manufacturing primitives corresponding to each capability. The computational services are queried to construct a logical representation of the planning space based on intersections among the primitives. One or more process plans are formed using the different manufacturing capabilities to manufacture the part.