ADAPTIVE THERMAL DIFFUSIVITY
    11.
    发明申请

    公开(公告)号:US20220016846A1

    公开(公告)日:2022-01-20

    申请号:US17298496

    申请日:2019-04-10

    Inventor: He Luan Jun Zeng

    Abstract: Examples of methods for determining an adaptive thermal diffusivity kernel are described herein. In some examples, an adaptive thermal diffusivity kernel is determined based on a map. In some examples, a temperature is predicted based on the adaptive thermal diffusivity kernel. In some examples, the map includes a temperature map, a shape map, or a concatenation of the temperature map and the shape map.

    MOTION CORRECTION IN ADDITIVE MANUFACTURING
    12.
    发明申请

    公开(公告)号:US20200247110A1

    公开(公告)日:2020-08-06

    申请号:US16753267

    申请日:2018-01-18

    Abstract: A system for forming an object, the system including: a carriage, wherein the carriage moves above an area for forming the object and laterally with respect to the area, the carriage comprising an electromagnetic radiation source to induce heating of material in the area; a thermal imaging device to image the area, wherein the thermal imaging device captures a plurality of sequential images; and a processor, wherein the processor uses the plurality of sequential images to create a temperature map of the area which includes compensation for the cooling which occurs during the movement of the carriage lateral to the area.

    INDEXING VOXELS FOR 3D PRINTING
    15.
    发明申请

    公开(公告)号:US20190122427A1

    公开(公告)日:2019-04-25

    申请号:US16302962

    申请日:2016-07-26

    Abstract: One example includes a non-transitory machine readable storage medium including voxels organized by an octree and at least one quad-tree index. The octree defines an object to be three-dimensionally printed and includes a list of nodes for each depth of the octree where each node includes nodal content representing at least one voxel. The at least one quad-tree index is to index at least one node of the octree and has a depth less than or equal to a maximum resolved depth. The at least one quad-tree index is to be accessed by computer executable instructions to retrieve nodal content from the octree to control a processor to process the object to be three-dimensionally printed.

    GENERATING A SHAPE PROFILE FOR A 3D OBJECT
    16.
    发明申请

    公开(公告)号:US20190026953A1

    公开(公告)日:2019-01-24

    申请号:US16072277

    申请日:2016-05-16

    Abstract: According to an example, a processing device may slice a 3D model along a first direction to generate a plurality of layers in parallel planes defined across a second direction and a third direction, in which each of the plurality of layers is composed of respective polygons representing portions of the 3D model. The plurality of layers may be partitioned into a plurality of stacked boxes containing the respective polygons and for each stacked box of the plurality of stacked boxes, the polygons in the stacked box may be assembled into a superset polygon and the superset polygon may be partitioned into bounding shapes. A shape profile of the 3D object may be generated using the bounding shapes.

    Spatial analysis with attribute graphs

    公开(公告)号:US10152653B2

    公开(公告)日:2018-12-11

    申请号:US15500916

    申请日:2014-07-31

    Abstract: Examples relate to providing spatial analysis using attribute graphs. In one examples, there are a number of spatial points that each represent characteristics in a dimensional space. Non-data points are generated in the dimensional space, and a Delaunay triangulation is performed using the spatial points and the non-data points to generate a plurality of edges, where interior points of the plurality of non-data points that are in an interior space of the plurality of spatial points are excluded from the Delaunay triangulation. Next, spatial edges from the plurality of edges that each connect a spatial point that is connected to a first mixed edge to another spatial point that is connected to a second mixed edge are identified, where the spatial edges are used to generate a robust contour of a cluster of the spatial points.

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