Abstract: Examples of methods for object manufacturing visualization by an electronic device are described herein. In some examples, a predicted thermal image of additive manufacturing is determined using a machine learning model. In some examples, a captured thermal image is obtained. In some examples, a graphical overlay of the predicted thermal image with the captured thermal image is presented.

Abstract: According to examples, an apparatus may include a processor and a memory on which is stored machine readable instructions that when executed by the processor are to cause the processor to access a reduced resolution three-dimensional (3D) model file of an object to be built in a build bed of a 3D printing system, the reduced resolution 3D model file comprising a reduced resolution file of a first resolution 3D model file of the object. The instructions may also cause the processor to determine a packing arrangement for the object and a plurality of other objects to be built in the build bed through use of the reduced resolution 3D model file and output the determined packing arrangement for the 3D printing system to print the object and the other objects.

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: 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: Examples of methods for object manufacturing visualization by an electronic device are described herein. In some examples, a predicted thermal image of additive manufacturing is determined using a machine learning model. In some examples, a captured thermal image is obtained. In some examples, a graphical overlay of the predicted thermal image with the captured thermal image is presented.

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: According to examples, an apparatus may include a processor and a memory on which is stored machine readable instructions that when executed by the processor are to cause the processor to access a reduced resolution three-dimensional (3D) model file of an object to be built in a build bed of a 3D printing system, the reduced resolution 3D model file comprising a reduced resolution file of a first resolution 3D model file of the object. The instructions may also cause the processor to determine a packing arrangement for the object and a plurality of other objects to be built in the build bed through use of the reduced resolution 3D model file and output the determined packing arrangement for the 3D printing system to print the object and the other objects.

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: Techniques pertaining to embedding fonts in a PDF document are disclosed. A processing component executing a PDF application programming interface (API) may be operative to identify each character in a PDF file associated with an un-embedded font. The PDF API may store a bitmap representation for each identified character in the PDF file associated with the un-embedded font. The PDF API may then create a bitmap font character from the bitmap representation for each identified character in the PDF file associated with an un-embedded font and replace each reference to a character in the PDF file associated with an un-embedded font with a reference to its corresponding bitmap font character.

Abstract: Techniques pertaining to embedding fonts in a PDF document are disclosed. A processing component executing a PDF application programming interface (API) may be operative to identify each character in a PDF file associated with an un-embedded font. The PDF API may store a bitmap representation for each identified character in the PDF file associated with the un-embedded font. The PDF API may then create a bitmap font character from the bitmap representation for each identified character in the PDF file associated with an un-embedded font and replace each reference to a character in the PDF file associated with an un-embedded font with a reference to its corresponding bitmap font character.