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公开(公告)号：US20190122427A1
公开(公告)日：2019-04-25
申请号：US16302962
申请日：2016-07-26
发明人： Jun Zeng , Ana Del Angel , Scott White , Sebastia Cortes i Herms , Gary Dispoto
IPC分类号： G06T17/00 , G06F16/901 , B33Y50/00 , B29C64/386
摘要： 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.
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公开(公告)号：US20190026953A1
公开(公告)日：2019-01-24
申请号：US16072277
申请日：2016-05-16
摘要： 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.
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公开(公告)号：US10152653B2
公开(公告)日：2018-12-11
申请号：US15500916
申请日：2014-07-31
发明人： Nathan Moroney , Jun Zeng
摘要： 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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公开(公告)号：US20180273720A1
公开(公告)日：2018-09-27
申请号：US15763359
申请日：2015-10-09
发明人： Wei Huang , Lihua Zhao , Yan Zhao , Jun Zeng
IPC分类号： C08K3/16 , B33Y10/00 , B33Y70/00 , B29C64/165
CPC分类号： C08K3/16 , B29C64/153 , B29C64/165 , B29C64/188 , B29K2077/10 , B33Y10/00 , B33Y70/00 , C08K3/10 , C08K2003/166 , C08K2201/005 , C08L101/00 , C08L77/02
摘要： The present disclosure is drawn to particulate mixtures, material sets and methods of forming porous 3-dimensional printed parts. The particulate mixtures can include 5 wt % to 40 wt % of a salt having an average particle size from 5 μm to 100 μm. The mixture can also include 60 wt % to 95 wt % of a build material for 3-dimensional printing. The build material can include a particulate polymer having an average particle size from 5 μm to 100 μm and a melting point from 100° C. to 400° C. The melting point of the particulate polymer can be lower than the melting point of the salt.
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公开(公告)号：US20180117897A1
公开(公告)日：2018-05-03
申请号：US15545038
申请日：2015-04-21
发明人： Jun Zeng , Pu Huang , Sebastia Cortes , Scott White , Juan Manuel Garcia , Peter Morovic , Jan Morovic
IPC分类号： B33Y50/02 , B29C64/393
CPC分类号： B33Y50/02 , B29C64/393 , G06T17/005
摘要： In some examples, octree serialization can include non-transitory machine-readable medium storing instructions, the instructions executable by a processing resource to evaluate two or more nodes sequentially in an octree structure until a leaf node is reached, wherein the two or more nodes include at least one non-leaf node, and generate a serialized octree document based on a respective node identifier in a header associated with each node of the two or more nodes.
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公开(公告)号：US20170115659A1
公开(公告)日：2017-04-27
申请号：US15307748
申请日：2014-04-30
IPC分类号： G05B19/418
CPC分类号： G05B19/41865 , G05B2219/25419 , G06Q10/06311 , G06Q10/109 , G06Q10/20 , Y02P90/86
摘要： Scheduling of manufacturing jobs is described herein. In accordance with an example, the scheduling of manufacturing jobs includes obtaining an order parameter associated with a product to be manufactured on a manufacturing equipment set. A product dimension of an intermediate product for the product is determined based on the order parameter and a production attribute. Further, the manufacturing job is scheduled for the product amongst manufacturing jobs for other products to be manufactured on the manufacturing equipment set, based on the product dimension of the intermediate product and a scheduling criterion. The scheduling criterion can be a parameter to regulate the scheduling of the manufacturing jobs on the manufacturing equipment set.
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公开(公告)号：US20150302328A1
公开(公告)日：2015-10-22
申请号：US14443668
申请日：2012-11-29
发明人： Jun Zeng , Francisco Oblea , Gideon Amir , Noam Shaham
IPC分类号： G06Q10/06
CPC分类号： G06Q10/0639 , G06Q10/06398
摘要： Examples disclosed herein relate to a work environment recommendation based on a worker interaction graph. A computing device may determine based on a graph representing relationships between workers, productivity information related to a work environment and determine a suggested change to the work environment based on the productivity information. The computing device may output the suggested change.
摘要翻译： 本文公开的示例涉及基于工作者交互图的工作环境推荐。 计算设备可以基于表示工作人员之间的关系的图表，与工作环境相关的生产力信息来确定，并基于生产力信息确定对工作环境的建议的改变。 计算设备可以输出建议的改变。
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公开(公告)号：US12125187B2
公开(公告)日：2024-10-22
申请号：US17611284
申请日：2019-09-26
IPC分类号： G06T3/4007 , B29C64/393 , G06T7/00 , B33Y50/02
CPC分类号： G06T7/0004 , B29C64/393 , G06T3/4007 , B33Y50/02 , G06T2207/20081 , G06T2207/20084 , G06T2207/30144
摘要： 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.
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公开(公告)号：US11914932B2
公开(公告)日：2024-02-27
申请号：US16978281
申请日：2018-04-27
发明人： David Tucker , Nicholas Saunders , Jun Zeng
IPC分类号： G06F30/12 , G06F30/20 , B33Y50/00 , G05B19/4099 , B22F10/20 , B22F10/80 , G06F111/04 , G06F113/10
CPC分类号： G06F30/20 , B22F10/20 , B22F10/80 , B33Y50/00 , G05B19/4099 , G06F30/12 , G05B2219/49007 , G05B2219/49008 , G05B2219/49023 , G06F2111/04 , G06F2113/10
摘要： A parts packing method is used to optimize build bed part placement for additive manufacturing. The method includes a user interface to parts packing software, enabling a process engineer to select parts from a pool of parts, group parts to have uniform orientation, and specify a range of angles and rotation of the parts. Additionally, the user interface accepts input related to process variations among different printers as well as drift over time of a single printer. The user interface feeds the data into the parts packing program to optimize build bed part placement.
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公开(公告)号：US11878464B2
公开(公告)日：2024-01-23
申请号：US17047303
申请日：2018-08-10
IPC分类号： B33Y50/02 , B29C64/20 , G06N3/08 , B22F10/85 , G06N3/044 , G06N3/045 , G06F30/27 , B22F10/20 , B29C64/393
CPC分类号： B29C64/20 , B22F10/85 , B33Y50/02 , G06F30/27 , G06N3/044 , G06N3/045 , G06N3/08 , B22F10/20 , B29C64/393
摘要： A system includes a machine readable storage medium storing instructions and a processor. The processor is to execute instructions to receive contone agent maps of a three-dimensional (3D) part and sensed thermal maps from the 3D printing of the 3D part on a 3D printer. The processor is to execute instructions to generate layer sequences including the contone agent maps and the sensed thermal map for each layer of the 3D part. The processor is to execute instructions to select training samples from the layer sequences having temperature intensity variations within each layer or between neighboring layers. The processor is to execute instructions to train a neural network using the training samples to generate a model to predict thermal behavior in the 3D printer.
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