A method of compensating for shrinking and distortion of an object resulting from a manufacturing process. A scan is performed of an object following a manufacturing process to produce scan data. The scan data is aligned to a part mesh of the object. The part mesh is adjusted to substantially coincide with the scan data by moving part mesh vertices. Delta vectors are computed by subtracting initial part mesh vertex positions from final part mesh vertex positions. The inverse of the delta vectors are applied to the preprocessed part mesh to give a scan adjusted pre-processed shape.

In an embodiment, an earphone having a solid earphone body is provided. A first mounting recess is formed in a first end of the earphone body. A first acoustic driver is disposed in the first mounting recess. At least a first sound bore is formed in the solid earphone body. The at least a first sound bore fluidly communicates with the first mounting recess and a first exit port formed at a second end of the earphone body. The second end of the earphone body is configured to be placed in an ear canal of a user. The earphone can be fabricated by a method that includes defining negative spaces for the first acoustic driver and the at least a first sound bore in a virtual model of the earphone body.

Described a computer-implemented method for the automated design of a mechanical actuator by using metamaterials. The method comprises: defining an initial lattice model of the metamaterial, constituted by the repetition of basic geometric elements formed by a plurality of nodes connected by a plurality of beams; defining several groups of nodes; and iterating a series of steps, including: modifying a current test lattice, on the basis of a pseudo-random decision determined by means of a computational algorithm; simulating, by means of computational simulation, the mechanical response of the modified test lattice; calculating a figure of merit of the modified test lattice on the basis of positions of input and output nodes in presence of an input mechanical stimulus; either accepting or rejecting the modified test lattice; and finally defining the current test lattice for the subsequent iteration is as the initial lattice at the first iteration.

A method for creating a virtual three-dimensional structural model of a body includes ascertaining a shell geometry and a basic volume from a geometric model of the body; creating a numerical model of the body from the shell geometry and/or the basic volume; acting upon the numerical model with a variable and establishing a target property of the body from the numerical model acted upon by the variable; creating a structural model that defines an actual property of the body; and iteratively optimizing the structural model to align the actual property with the target property. During the optimization, adapting a mechanical, thermal, and/or aerodynamic actual property of the body to a mechanical, thermal, and/or aerodynamic target property of the body by modifying at least one parameter of the structural model. A manufacturing method and a device perform this method.

A method, a structure, and a computer system for enabling telemedicine using printed devices. Exemplary embodiments may include receiving a design for a device and printing the device based on the design using a printer. The exemplary embodiments may further include combining the device with a smart device and utilizing the device to collect data during a telemedicine session administered on the smart device.

The present disclosure relates to an air-diffusion system, a computer-implemented method of designing an air-diffusion system, an apparatus for additive manufacturing an air-diffusion system, and a method of additive manufacturing an air-diffusion system.

A method for forming a multi-material mechanical functional member in additive manufacturing. The method includes the following steps: S1: dividing an object to be formed into a plurality of portions, analyzing and measuring mechanical properties of each portion, and constructing a unit cell library; S2: forming a lattice structure by using a unit cell structure in the unit cell library to obtain the lattice structure corresponding to each portion; S3: selecting a raw material of the lattice structure, measuring and comparing mechanical properties of each lattice structure with the mechanical properties of each portion of the object to be formed, where when the mechanical properties of each portion are satisfied, the lattice structure is the required lattice structure, otherwise, step S2 is repeated; and S4: forming a three-dimensional model by a method of additive manufacturing to accordingly obtain the required object to be formed.

A system and methods are disclosed for producing components via additive manufacturing. In one embodiment, a three-dimensional geometry is sliced using a slicing plane to obtain a first two-dimensional geometry. A first polyline is generated based on a first skeleton of the first two-dimensional geometry, and a first slender body is generated based on the first polyline. The first slender body is subtracted from the first two-dimensional geometry to obtain a second two-dimensional geometry. A second polyline is generated based on a second skeleton of the second two-dimensional geometry. A first bundle of fibers is produced based on a segmentation of the first polyline and a second bundle of fibers is produced based on a segmentation of the second polyline. A component is produced from the first and second bundles of fibers using an additive manufacturing process.

In an example, a method includes receiving object model data describing at least a portion of an object to be generated by additive manufacturing. Object generation instructions for generating the object in its entirety may be derived based on the object model data. Where it is determined that the object model data comprises a data deficiency for deriving the object generation instructions, at least one attribute for the object may be inferred and object generation instructions may be derived based on the object model data and the inferred attribute.

A plurality of scanned prints of a product part and a scan-path are received. A shape of a minimum printable feature of the product part is determined by analyzing the respective prints in a scan-path representation. A manufacturing error of the minimum printable feature is determined based on the analysis. A manufacturing error of a shape of the part is determined based on the determined manufacturing error of the minimum printable feature. An estimated manufactured shape of the part is produced based on the determined manufacturing error of the part.