THERMAL MAPPING
    62.
    发明申请

    公开(公告)号:US20210247735A1

    公开(公告)日:2021-08-12

    申请号:US17056191

    申请日:2018-10-29

    Inventor: He Luan Jun Zeng

    Abstract: Examples of methods for thermal mapping by an electronic device are described herein. In some examples, a map is obtained. In some examples, a first thermal image at a first resolution is obtained. In some examples, a neural network is used to determine a second thermal image at a second resolution based on the map and the first thermal image. The second resolution is greater than the first resolution in some examples.

    Generating a shape profile for a 3D object

    公开(公告)号:US11043042B2

    公开(公告)日:2021-06-22

    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.

    PREDICTING THERMAL BEHAVIOR IN 3D PRINTERS

    公开(公告)号:US20210150343A1

    公开(公告)日:2021-05-20

    申请号:US17047303

    申请日:2018-08-10

    Inventor: HE LUAN Jun Zeng

    Abstract: 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.

    USER-ASSISTED PARTS PACKING OPTIMIZATION

    公开(公告)号:US20210039320A1

    公开(公告)日:2021-02-11

    申请号:US16978281

    申请日:2018-04-27

    Abstract: 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.

    PRINTING PRODUCTION QUALITY PREDICTION

    公开(公告)号:US20210031454A1

    公开(公告)日:2021-02-04

    申请号:US16978241

    申请日:2018-04-26

    Abstract: A system and method for providing three dimensional printing production quality prediction is described herein. The system may include logic to scan a region of interest associated with a layer of a plurality of parts during printing to obtain an input for the region of interest and compute an input metric associated with the layer based on the input. In response to an initial set of print jobs, at least a portion of the plurality of parts is mechanically tested to determine at least one output. In response to a production print job, a likelihood of a part of the plurality of parts to satisfy a quality specification is predicted by inputting the input metric to at least one machine learning function comprising the at least one output, wherein the at least one machine learning function is trained during the initial set of print jobs.

    Synthesis routines and raw data
    67.
    发明授权

    公开(公告)号:US10896264B2

    公开(公告)日:2021-01-19

    申请号:US15764318

    申请日:2015-11-05

    Abstract: In one implementation, a resource system includes an authorization engine, an interface engine and an analysis engine. In that example, the authorization engine authorizes an analysis request, the interface engine assigns a data property to the analysis request, and the analysis engine selects a synthesis routine based on the analysis request, identifies data stored in a resource group based on the synthesis routine, and causes the synthesis routine to perform using raw data in the resource group based on the data property in response to a determination that the analysis request is authorized to access the resource group.

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