Systems, methods, and media for artificial intelligence feedback control in additive manufacturing

A technology of additive manufacturing and artificial intelligence, applied in the direction of manufacturing tools, additive processing, liquid material additive processing, etc.

Active Publication Date: 2020-12-22
纳米电子成像有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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  • Systems, methods, and media for artificial intelligence feedback control in additive manufacturing
  • Systems, methods, and media for artificial intelligence feedback control in additive manufacturing
  • Systems, methods, and media for artificial intelligence feedback control in additive manufacturing

Examples

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example 8

[0097] Figure 8 An example 800 of a training process for learning anomaly patterns and rates based on different infill densities and infill patterns and how the anomaly patterns and rates affect the mechanical properties of printed objects is shown, in accordance with some embodiments.

[0098] At 810, one or more printing parameters that affect mechanical properties of the object can be identified. For example, infill density and infill pattern can be identified as affecting the mechanical properties of an object. In some embodiments, artificial intelligence algorithms can be used to identify other printing parameters that affect the mechanical properties of the object.

[0099] At 820, a predetermined number ("group") of target objects may be printed, and one or more printing parameters that have been identified as affecting mechanical properties of the target objects may remain the same for the entire group. For example, you can specify the same hatch pattern and fill de...

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Abstract

Additive manufacturing systems using artificial intelligence can identify an anomaly in a printed layer of an object from a generated topographical image of the printed layer. The additive manufacturing systems can also use artificial intelligence to determine a correlation between the identified anomaly and one or more print parameters, and adaptively adjust one or more print parameters. The additive manufacturing systems can also use artificial intelligence to optimize one or more printing parameters to achieve desired mechanical, optical and/or electrical properties.

Description

technical field [0001] The present disclosure relates to mechanisms for providing artificial intelligence feedback control in additive manufacturing. Background technique [0002] Additive manufacturing systems such as 3D printers and cell printers are widely used to deposit multiple layers of natural, synthetic or biological materials to fabricate objects through processes of extrusion, sintering, photopolymerization, mechanosynthesis or electrohydrodynamics . The process of additive manufacturing manufactures objects through a layer deposition process, in which an additive manufacturing printer keeps adding successive layers until the printed object is complete. [0003] Typically, objects printed by additive manufacturing printers are based on production designs. Three-dimensional modeling software, such as a CAD program, can be used to create production designs for objects of the required specifications. A slicing program can then convert the production design into NC...

Claims

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Application Information

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IPC IPC(8): B29C64/00G06N20/00G06V10/764
CPCB29C64/386B29C64/393G06N20/00B33Y50/00B33Y50/02B33Y30/00B29C64/106G06N20/10G06N3/088B22F10/85B22F12/90B22F2203/03B22F2999/00B22F10/20B22F10/10G01N21/8851G01N2021/8438G01N2021/8883G01B11/24G06V20/64G06V2201/121G06V2201/06G06V10/764G06N3/047G06N7/01G06N3/044G06N3/045B29C64/209B33Y10/00G06N3/04G06F18/295G06F18/2411
Inventor 马修·C·普特曼瓦迪姆·潘斯基詹姆斯·威廉姆斯达马斯·利莫格阿什温·拉加夫·尼马莱斯瓦兰马里奥·克里斯
Owner 纳米电子成像有限公司
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