Abstract: 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.

Abstract: An image processing system acquires a first three-dimensional model of an object. The image processing system includes a processor and storage medium encoded with instructions executable by the processor. The instructions include instructions to define a material potential function for a material. The material potential function is a function of a three-dimensional origin point of the material in the object, a three-dimensional propagation limit of the material in the object, and a three-dimensional propagation function of the material in the object. The instructions include instructions to generate a second three-dimensional model of the object based in part on the material potential function and the first model. The second model illustrates propagation of the material through an interior volume of the object at a unit level. A controller generates control signals based on the second model, and a fluid ejection engine performs an additive manufacturing process based on the control signals.

Abstract: Examples of methods for object deformation determination are described herein. In some examples, a method includes aligning a first bounding box of a three-dimensional (3D) object model with a second bounding box of a scan. In some examples, the method includes determining a deformation between the 3D object model and the scan based on the alignment.

Abstract: A fan and an electronic device are provided. The fan includes a hub, an outer frame surrounding the hub, and a plurality of blades connected between the hub and the outer frame. The outer frame includes a first side facing an air inlet of the fan, a second side facing an air outlet of the fan, and an inner wall between the first side and the second side. Each of the plurality of blades includes a first end connected to the hub and a second end connected to the outer frame. The second end includes a first region and a second region, the second region is connected to the inner wall. The first region extends from the second region and is disposed above the first side. A first notch is defined among the first regions of two adjacent blades and the first side.

Abstract: Examples of methods for registering objects are described herein. In some examples, a method includes determining a set of overlap scores based on a set of orientations between a first bounding box of a three-dimensional (3D) object model and a second bounding box of a 3D scan of an object. In some examples, the method includes registering the 3D scan with the 3D object model based on the set of overlap scores.

Abstract: Examples of methods for predicting porosity are described herein. In some examples, a method includes predicting a height map. In some examples, the height map is of material for metal printing. In some examples, the method includes predicting a porosity of a precursor object. In some examples, predicting the porosity of the precursor object is based on the predicted height map.

Abstract: The present invention relates to phenyl amino pyrimidine compounds which are inhibitors of protein kinases including JAK kinases. In particular the compounds are selective for JAK2 kinases. The kinase inhibitors can be used in the treatment of kinase associated diseases such as immunological and inflammatory diseases including organ transplants; hyperproliferative diseases including cancer and myeloproliferative diseases; viral diseases; metabolic diseases; and vascular diseases.

Abstract: In an example, a method includes receiving, at a processor, object model data representing at least a portion of an object to be generated by an additive manufacturing apparatus by fusing build material. Using a processor and from the object model data, a property diffusion model for the object in object generation may be determined. Using a processor and based on the property diffusion model, a manufacturing boundary object shell around the object and encompassing an external volume may be determined. The shell may have a variable thickness determined so as to include build material for which, in generation of the object, the property modelled in the property diffusion model has a value which is predicted to conform to a predetermined parameter.

Abstract: Examples of methods for generating supports are described herein. In some examples, a method includes determining a starting position from a set of voxels of a three-dimensional (3D) object model to be additively manufactured. In some examples, the method also includes generating a support for the 3D object model by traversing a cost field from the starting position.

Abstract: An optical assembly includes a first optical film and a second optical film. The first optical film includes first microstructures arranged in a chessboard arrangement based on a first direction. The second optical film includes second microstructures arranged in a chessboard arrangement based on a second direction. The angle between the first direction and the second direction is greater than or equal to 30 degrees and less than or equal to 60 degrees.

Abstract: A method of manufacturing an object via three-dimensional printing is disclosed. Data regarding the object is received. The object is three-dimensionally printed from the data. A wrapper is also three-dimensionally printed from the data. The wrapper encloses the object and includes information regarding the object.

Abstract: In an example, an apparatus includes an image processing system, a print engine, and a vision system. The image processing system generates electronic signals based on a model of an object to be fabricated using an additive manufacturing process. The print engine performs the additive manufacturing process in a plurality of passes based on the electronic signals. The vision system acquires a plurality of thermal images of the plurality of passes and assigns individual passes to individual images based on data acquired during a build of a calibration object by the additive manufacturing process. The print engine may further include a material coater to spread a powder coating material, a plurality of fluid ejection devices to eject a fusing agent, and an emitter to emit energy to fuse the fusing agent and the powder coating material into a layer of the object to be fabricated.

Abstract: A disk-drive suspension includes a load beam, a flexure laid on top of the load beam, a first terminal provided on the flexure, and a first bump arranged on a top surface of the first terminal. The first terminal includes a narrow part having a first width in a first direction and including a center of the first terminal, and a wide part having a second width in the first direction greater than the first width. The wide part and the narrow part are arranged in a second direction intersecting the first direction. The first bump has, at the center, a first height from a bottom surface of the first terminal. The first height is greater than the first width.

Abstract: A double-sided vibrating speaker includes a magnet member, a first vibration member and a second vibration member. The magnet member has a main magnetic unit, a first magnetic unit and a second magnetic unit, the main magnetic unit has a main magnetic plate and two side magnetic plates, the main magnetic plate has air vents, each the side magnetic plate is provided on two sides of the main magnetic plate, the main magnetic unit forms an H-shape. The first vibration member is disposed on one surface of the magnet member, the second vibration member is disposed on another surface of the magnet member.

Abstract: Examples disclosed herein relate to 3D printer fresh and recycled powder supply management. In one implementation, a processor estimates fresh and recycled powder use and recycled powder creation by a 3D printer based on a set of print jobs.

Abstract: Examples disclosed herein relate to 3D printer fresh and recycled powder supply management. In one implementation, a processor estimates fresh and recycled powder use and recycled powder creation by a 3D printer based on a set of print jobs. The processor may coordinate fresh and recycled powder resources based on the powder estimate and stored information about powder resources.

Abstract: A control and feedback technique to determine the proper location of powder control temperature regions includes detecting solid parts having specified shape and thermal characteristics. The solid parts are generated by a 3D printer. The solid parts include powder material fused on a layer by layer basis. A powder control temperature region is selected in each layer of powder material, wherein the region is located in unfused powder material adjacent to the solid parts, and wherein the region is selected based on characteristics of the shape of a build area and thermal imaging associated with any of a structural formation of the solid parts adjacent to the region, and an amount of thermal energy radiated by the solid parts adjacent to the region. The amount of thermal energy to cause fusing of the powder material on each subsequent layer is modified based on location of the powder control temperature region.

Abstract: According to examples, a three-dimensional (3D) fabrication system may include fabrication components and a controller. The controller may control the fabrication components to fabricate parts of a 3D object in a build envelope, the parts to be assembled together to form the object, and in which the parts are fabricated at locations corresponding to relative positions of the parts with respect to each other in the assembled object. The controller may also control the fabrication components to fabricate a cage around the parts in the build envelope.

Abstract: In some examples, a distribution of values of a property of a given layer to be printed as part of three-dimensional (3D) printing is predicted, wherein the predicting is based on a distribution of values of the property in a previous layer that has been printed as part of the 3D printing. 3D printing of an object is controlled based on the predicted distribution of values of the property of the given layer.

Abstract: An example three-dimensional (3D) printer may include a camera to capture a low-resolution thermal image of a build material bed. The 3D printer may include an interpolation engine to generate an interpolated thermal image based on the low-resolution thermal image. The 3D printer may also include a correction engine to enhance fine details of the interpolated thermal image without distorting thermal values from portions of the interpolated thermal image without fine details to produce an enhanced thermal image.