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1.发明申请公开(公告)号：US20230051394A1
公开(公告)日：2023-02-16
申请号：US17934004
申请日：2022-09-21
Inventor： Hoon SOHN , Ikgeun JEON , Peipei LIU
Abstract: A method of feedback controlling a 3D printing process in real time, and a system therefor are disclosed. The method includes collecting big data, generated through 3D printing experiments, related to process variables of 3D printing, measurement signals, and 3D printing quality of the 3D printing object; building an artificial neural network model by performing machine-learning based on the collected big data; evaluating whether or not a 3D printing quality of the 3D printing object is abnormal in real time based on an actual measurement signal of the 3D printing object and the artificial neural network model; and feedback controlling printing quality of the 3D printing object in real time based on the evaluation result of whether or not the 3D printing quality of the 3D printing object is abnormal.
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Patent Agency Ranking
公开(公告)号：US20210197282A1
公开(公告)日：2021-07-01
申请号：US17123535
申请日：2020-12-16
Inventor： Hoon SOHN , Ikgeun JEON
Abstract: A method and apparatus for estimating a height of a 3D printing object formed during a 3D printing process are disclosed. The method includes extracting one or more temperature-related data of the 3D printing object formed during the 3D printing process, building an artificial neural network model for estimating the height of the 3D printing object by using the extracted temperature-related data; and estimating the height of the 3D printing object by inputting a newly measured thermal image and the one or more temperature-related data values into the artificial neural network model. The height of the 3D printing object can be measured in real time.
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公开(公告)号：US20210197275A1
公开(公告)日：2021-07-01
申请号：US17118862
申请日：2020-12-11
Inventor： Hoon SOHN , Ikgeun JEON
IPC: B22F10/25 , B22F10/85 , B22F12/90 , B22F12/41 , G06T7/50 , G06T7/62 , G06T7/00 , B23K26/70 , B23K26/067 , B23K26/06 , B22F10/368
Abstract: Disclosed are a method of controlling a size of a molten pool formed during a 3D printing process in real time and a system for the same. A thermal image of the molten pool is taken by a thermal imaging camera. A temperature interface exceeding a melting point of a base metal is specified in the thermal image. A size of the molten pool is obtained by estimating a length, a width, and a depth of the molten pool using the temperature interface. A predicted size of the molten pool is obtained using an artificial neural network model. An actually measured size of the molten pool is derived from a surface temperature of the molten pool. An error between the predicted size and the measured size of the molten pool is calculated to be used for controlling the size of the molten pool in real time.
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公开(公告)号：US20210197287A1
公开(公告)日：2021-07-01
申请号：US17130641
申请日：2020-12-22
Inventor： Hoon SOHN , Ikgeun JEON , Peipei LIU
Abstract: Disclosed are an integrated inspection system for a 3D printing process using a thermal image and a laser ultrasound wave and a 3D printing system having the inspection system. The inspection system includes a thermal imaging camera for creating a thermal image of a molten pool formed in a printing object when a base material supplied to the printing object is melted by a laser beam irradiated from a 3D printing laser source, a laser ultrasonic device for receiving a laser ultrasonic wave included in the laser beam reflected from the printing object, and a control unit for estimating a physical property of the printing object and detecting a defect of the printing object based on the thermal image created by the thermal imaging camera and the laser ultrasound wave received by the laser ultrasonic device. The thermal imaging camera and the laser ultrasonic device are disposed coaxially with the 3D printing laser source.
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公开(公告)号：US20210197286A1
公开(公告)日：2021-07-01
申请号：US17118890
申请日：2020-12-11
Inventor： Hoon SOHN , Ikgeun JEON
Abstract: Disclosed are a method and apparatus of estimating a depth of a molten pool formed during a 3D printing process, and a 3D printing system. A surface temperature of the molten pool is measure by taking a thermal image of a laminated printing object during the 3D printing process with a thermal imaging camera. The measured surface temperature is compared with a melting point of the base material to determine a surface boundary of the molten pool. The maximum lengths in x-axis and y-axis directions of a surface region of the molten pool defined by the surface boundary of the molten pool are determined as a length and a width of the surface of the molten pool, respectively. A maximum depth in the z-axis direction of the molten pool is determined in real time based on the length and width of the surface region of the molten pool.
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6.发明申请公开(公告)号：US20210197283A1
公开(公告)日：2021-07-01
申请号：US17124973
申请日：2020-12-17
Inventor： Hoon SOHN , Ikgeun JEON , Peipei LIU
Abstract: A method of feedback controlling a 3D printing process in real time, and a system therefor are disclosed. The method includes collecting big data, generated through 3D printing experiments, related to process variables of 3D printing, measurement signals, and 3D printing quality of the 3D printing object; building an artificial neural network model by performing machine-learning based on the collected big data; evaluating whether or not a 3D printing quality of the 3D printing object is abnormal in real time based on an actual measurement signal of the 3D printing object and the artificial neural network model; and feedback controlling printing quality of the 3D printing object in real time based on the evaluation result of whether or not the 3D printing quality of the 3D printing object is abnormal.
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