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1. 发明授权

US11628622B2 Edge profilometer 有权
公开(公告)号：US11628622B2
公开(公告)日：2023-04-18
申请号：US17365164
申请日：2021-07-01
申请人： Inkbit, LLC
发明人： Aaron Weber , Desai Chen , Harrison Wang , Gregory Ellson , Wojciech Matusik
IPC分类号： B29C64/277 , B29C64/135 , B33Y50/02 , B29C64/209
摘要： A profilometer provides, to a controller, a feedback signal indicative of topography of an exposed surface of an object that is being manufactured by a 3d printer. The profilometer includes an emitter and a camera. The emitter illuminates a region of surface of the object with a pattern having an edge that defines a boundary of an illuminated portion of the surface. The camera receives an image that transitions between a first state in which the edge is visible in the image at a location that is indicative of the surface's depth and a second state in which the edge is not visible at all. From this second state, the controller obtains information representative of a depth of the surface.

2. 发明申请

US20220281176A1 PRECISION SYSTEM FOR ADDITIVE FABRICATION 有权
公开(公告)号：US20220281176A1
公开(公告)日：2022-09-08
申请号：US17525222
申请日：2021-11-12
申请人： Inkbit, LLC
发明人： Wenshou Wang , Gregory Ellson , Yan Zhang , Desai Chen , Javier Ramos , Wojciech Matusik , Kiril Vidimce
IPC分类号： B29C64/393 , B33Y10/00 , B33Y30/00 , B33Y70/00 , B29C64/112 , B29C64/209 , C09D11/101 , C09D11/102 , C09D11/38 , B33Y50/02
摘要： An approach to precision additive fabrication uses jetting of cationic compositions in conjunction with a non-contact (e.g., optical) feedback approach. By not requiring contact to control the surface geometry of the object being manufactured, the approach is tolerant of the relative slow curing of the cationic composition, while maintaining the benefit of control of the deposition processes according to feedback during the fabrication processes. This approach provides a way to manufacture precision objects and benefit from material properties of the fabricated objects, for example, with isotropic properties, which may be at least partially a result of the slow curing, and flexible structures, which may not be attainable using conventional jetted acrylates.

3. 发明授权

US11347908B2 Intelligent additive manufacturing 有权
公开(公告)号：US11347908B2
公开(公告)日：2022-05-31
申请号：US17014344
申请日：2020-09-08
申请人： Inkbit, LLC
发明人： Wojciech Matusik , Desai Chen
IPC分类号： G06F30/20 , B29C64/393 , G06N20/00 , G06N3/08 , B33Y50/02 , G06F119/18
摘要： An approach to intelligent additive manufacturing makes use of one or more of machine learning, feedback using machine vision, and determination of machine state. In some examples, a machine learning transformation receives data representing a partially fabricated object and a model of an additional part (e.g., layer) of the part, and produces a modified model that is provided to a printer. The machine learning predistorter can compensate for imperfections in the partially fabricated object as well as non-ideal characteristics of the printer, thereby achieving high accuracy.

4. 发明申请

US20210394436A1 OPTICAL SCANNING FOR INDUSTRIAL METROLOGY 有权
公开(公告)号：US20210394436A1
公开(公告)日：2021-12-23
申请号：US17307521
申请日：2021-05-04
申请人： Inkbit, LLC
发明人： Wojciech Matusik , Gregory Ellson , Desai Chen , Javier Ramos , Davide Marini , Aaron Weber
IPC分类号： B29C64/135 , B29C64/205
摘要： An approach to improving optical scanning increases the strength of optical reflection from the build material during fabrication. In some examples, the approach makes use of an additive (or a combination of multiple additives) that increases the received signal strength and/or improves the received signal-to-noise ratio in optical scanning for industrial metrology. Elements not naturally present in the material are introduced in the additives in order to increase fluorescence, scattering or luminescence. Such additives may include one or more of: small molecules, polymers, peptides, proteins, metal or semiconductive nanoparticles, and silicate nanoparticles.

5. 发明授权

US11072125B1 Reflective coating for material calibration 有权
公开(公告)号：US11072125B1
公开(公告)日：2021-07-27
申请号：US16936786
申请日：2020-07-23
申请人： Inkbit, LLC
发明人： Aaron Weber , Desai Chen , Harrison Wang , Gregory Ellson , Wojciech Matusik
IPC分类号： B29C64/393 , G06N20/00 , B33Y50/02 , B33Y30/00 , G01B11/00
摘要： A method includes generating correction data for a construction material that is used by an additive-manufacturing machine to manufacture an object. This correction data compensates for an interaction of the construction material with first radiation that has been used to illuminate the construction material.

6. 发明申请

US20200124403A1 HIGH-SPEED METROLOGY 审中-公开
公开(公告)号：US20200124403A1
公开(公告)日：2020-04-23
申请号：US16656060
申请日：2019-10-17
申请人： Inkbit, LLC
发明人： Aaron Weber , Kiril Vidimce , Walter H. Zengerle, III , Desai Chen , Wojciech Matusik
IPC分类号： G01B11/22 , G01B9/02 , B33Y50/00 , B29C64/386
摘要： A method and an apparatus are directed to characterizing a continuously moving 3D object via interferometry-based scanning. The method includes repeatedly forming several depth characterizations of the 3D object along respective scan lines of a plurality of scan lines on the surface of the 3D object. During this scanning, the 3D object is undergoing its continuous motion. The method further includes combining the determined depth characterization along the scan lines of the plurality of scan lines to form a depth map representing at least a depth of a portion associated with a location on the surface of the 3D object in the third direction on a grid of locations arranged in the first and second directions. Forming the depth characterizations includes scanning a frequency-dispersed pulsed optical signal in a first direction across the continuously moving 3D object, said 3D object moving in a second direction substantially orthogonal to the first direction. The scanned optical signal forming scan lines on a surface of the 3D object in a third direction substantially orthogonal to the first direction and the second direction.

7. 发明授权

US11541606B1 Object model encoding for additive fabrication 有权
公开(公告)号：US11541606B1
公开(公告)日：2023-01-03
申请号：US17560486
申请日：2021-12-23
申请人： Inkbit, LLC
发明人： Wojciech Matusik , Desai Chen
IPC分类号： B29C64/393 , B33Y50/02 , G06T15/06 , G06F30/10 , B33Y10/00
摘要： A method for additive fabrication by 3D printing includes processing model data representing material transition boundaries of an object to be printed to form build data for use in controlling printing of a plurality of successive layers to form the object, the build data comprising, for each location of a plurality of locations in a two-dimensional arrangement, material transition data for representing heights of material transitions in a third dimension, and repeating for each layer of the plurality of successive layers, receiving surface height data representing a height of a partial fabrication of the object at respective locations of a plurality of locations on a surface of the partial fabrication for each location of the plurality of locations, using the height at the location to access the material transition data corresponding to the location in the build data, and using the material transition data to determine material to be deposited at that location, and causing emission of the determined material at each location of the plurality of locations, thereby causing printing of the layer.

8. 发明申请

US20220374565A1 Machine Learning for Additive Manufacturing 有权
公开(公告)号：US20220374565A1
公开(公告)日：2022-11-24
申请号：US17738464
申请日：2022-05-06
申请人： Inkbit, LLC
发明人： Desai Chen
IPC分类号： G06F30/20 , B29C64/393 , G06N20/00 , G06N3/08
摘要： An approach to intelligent additive manufacturing makes use of one or more of machine learning, feedback using machine vision, and determination of machine state. In some examples, a machine learning transformation receives data representing a partially fabricated object and a model of an additional part (e.g., layer) of the part, and produces a modified model that is provided to a printer. The machine learning predistorter can compensate for imperfections in the partially fabricated object as well as non-ideal characteristics of the printer, thereby achieving high accuracy.

9. 发明申请

US20220171902A1 MACHINE LEARNING FOR ADDITIVE MANUFACTURING 有权
公开(公告)号：US20220171902A1
公开(公告)日：2022-06-02
申请号：US17560455
申请日：2021-12-23
申请人： Inkbit, LLC
发明人： Desai Chen
IPC分类号： G06F30/20 , B29C64/393 , G06N20/00 , G06N3/08
摘要： An approach to intelligent additive manufacturing makes use of one or more of machine learning, feedback using machine vision, and determination of machine state. In some examples, a machine learning transformation receives data representing a partially fabricated object and a model of an additional part (e.g., layer) of the part, and produces a modified model that is provided to a printer. The machine learning predistorter can compensate for imperfections in the partially fabricated object as well as non-ideal characteristics of the printer, thereby achieving high accuracy.

10. 发明申请

US20220161494A1 Edge Profilometer 有权
公开(公告)号：US20220161494A1
公开(公告)日：2022-05-26
申请号：US17365164
申请日：2021-07-01
申请人： Inkbit, LLC
发明人： Aaron Weber , Desai Chen , Harrison Wang , Gregory Ellson , Wojciech Matusik
IPC分类号： B29C64/277 , B29C64/135 , B33Y50/02 , B29C64/209
摘要： A profilometer provides, to a controller, a feedback signal indicative of topography of an exposed surface of an object that is being manufactured by a 3d printer. The profilometer includes an emitter and a camera. The emitter illuminates a region of surface of the object with a pattern having an edge that defines a boundary of an illuminated portion of the surface. The camera receives an image that transitions between a first state in which the edge is visible in the image at a location that is indicative of the surface's depth and a second state in which the edge is not visible at all. From this second state, the controller obtains information representative of a depth of the surface.

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