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1.发明公开公开(公告)号：US20240139815A1
公开(公告)日：2024-05-02
申请号：US18278805
申请日：2021-02-26
Inventor： Kenta AOYAGI , Akihiko CHIBA , Hideki KYOGOKU , Shin-ichi KITAMURA , Michiaki HASHITANI
CPC classification number: B22F10/80 , G06T7/0006 , B33Y50/00 , G06T2207/30136
Abstract: An additive manufacturing development method includes predicting a defect that occurs in a product based on a combination of a plurality of design data and a plurality of manufacturing conditions, collecting defect detection data for defect detection by monitoring the product during manufacturing in accordance with the combination of the plurality of design data and the plurality of manufacturing conditions, and generating a process map in which the plurality of manufacturing conditions are plotted using the predicted defect and the collected defect detection data. The method further includes collecting defect repair data for defect repair by monitoring the product during manufacturing and repairing a defect detected from the product, and storing the defect and the defect repair data in association with each other using the defect repair data and a repair result.
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Patent Agency Ranking
公开(公告)号：US20210299754A1
公开(公告)日：2021-09-30
申请号：US17269640
申请日：2018-08-24
Inventor： Kenta AOYAGI , Akihiko CHIBA
Abstract: A general-purpose process window is constructed while saving cost and time. A process window generation method comprises performing laminating and shaping of samples using sets of at least two parameters for controlling laminating and shaping, which are scattered in a process window, determining, in a process map generated by mapping evaluation results obtained by evaluating the laminated and shaped samples, a boundary of the evaluation results by machine learning; and repeating the performing laminating and shaping and the determining while using a boundary region including the determined boundary as a new process window, and generating a process window separated by a finally determined boundary as a process window that guarantees quality of laminating and shaping.
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公开(公告)号：US20210346954A1
公开(公告)日：2021-11-11
申请号：US17278121
申请日：2019-03-14
Inventor： Akihiko CHIBA , Takahiro KUDO , Youhei DAINO , Kenta AOYAGI
Abstract: This invention provides, by simple mechanical treatment, a metal powder that generates no smoke phenomenon when laminating and shaping a metal object even when decreasing a preheating temperature. In the metal powder, a solidification structure including a dendritic structure on the surface of the metal powder has been flattened. The solidification structure including the dendritic structure has been flattened by mechanical treatment including collision treatment of the metal powder. The mechanical treatment is performed by heating the metal powder to 100° C. to 300° C. The metal powder is a metal powder that is heated to a predetermined temperature and whose capacitance component of a measured impedance becomes zero. This metal powder is a powder of a metal alloy produced by an atomization process or a plasma rotation electrode process. The metal alloy includes a nickel-based alloy, a cobalt-chrome alloy, an iron-based alloy, an aluminum alloy, and a titanium alloy.
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公开(公告)号：US20240231310A9
公开(公告)日：2024-07-11
申请号：US18278376
申请日：2021-02-26
Inventor： Kenta AOYAGI , Akihiko CHIBA
IPC: G05B19/4099 , B22F10/85 , B29C64/393 , B33Y50/02 , G06T7/00 , G06T7/11
CPC classification number: G05B19/4099 , B22F10/85 , B29C64/393 , B33Y50/02 , G06T7/001 , G06T7/11 , G05B2219/49023 , G06T2207/20021 , G06T2207/30108
Abstract: An information processing apparatus for controlling additive manufacturing of a powder bed method includes an acquirer that acquires roughness data indicating a roughness of a manufacturing surface after melting, and defect determiner that divides the manufacturing surface into small regions each having a predetermined size, and compares the roughness data with a predetermined threshold for each small region, thereby determining whether a defect exists in the small region. If an unmolten region is included in the small region, the defect determiner replaces data of the manufacturing surface in the unmolten region using data of the manufacturing surface in the small region, and determines whether a defect exists in the small region including the unmolten region. Also, the manufacturing defect detection method further includes a defect repair instructor that instructs remelting of a region that is determined by the defect determiner to have a defect.
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公开(公告)号：US20230143183A1
公开(公告)日：2023-05-11
申请号：US17913058
申请日：2021-03-22
Applicant: TOYO ALUMINIUM KABUSHIKI KAISHA , TOHOKU UNIVERSITY , TECHNOLOGY RESEARCH ASSOCIATION FOR FUTURE ADDITIVE MANUFACTURING
Inventor： Yoshiki HASHIZUME , Isao MURAKAMI , Kenta ISHIGAMI , Sotaro AKIYAMA , Akihiko CHIBA , Kenta AOYAGI
CPC classification number: B22F1/12 , B33Y10/00 , B33Y80/00 , B22F10/38 , B22F2301/052 , B22F2302/05
Abstract: An object of the present invention is to provide an additive manufactured object which is free of solidification cracking due to, e.g., heat shrinkage during additive manufacturing of an aluminum alloy; which is free of anisotropy in strength, and has high strength and ductility. An aluminum alloy powder for additive manufacturing includes aluminum alloy particles in which not less than 0.01% by mass and not more than 1% by mass of a grain refiner is trapped. This grain refiner is at least one selected from the borides and carbides of group 4 elements.
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公开(公告)号：US20240134343A1
公开(公告)日：2024-04-25
申请号：US18278376
申请日：2021-02-26
Inventor： Kenta AOYAGI , Akihiko CHIBA
IPC: G05B19/4099 , B22F10/85 , B29C64/393 , B33Y50/02 , G06T7/00 , G06T7/11
CPC classification number: G05B19/4099 , B22F10/85 , B29C64/393 , B33Y50/02 , G06T7/001 , G06T7/11 , G05B2219/49023 , G06T2207/20021 , G06T2207/30108
Abstract: An information processing apparatus for controlling additive manufacturing of a powder bed method includes an acquirer that acquires roughness data indicating a roughness of a manufacturing surface after melting, and defect determiner that divides the manufacturing surface into small regions each having a predetermined size, and compares the roughness data with a predetermined threshold for each small region, thereby determining whether a defect exists in the small region. If an unmolten region is included in the small region, the defect determiner replaces data of the manufacturing surface in the unmolten region using data of the manufacturing surface in the small region, and determines whether a defect exists in the small region including the unmolten region. Also, the manufacturing defect detection method further includes a defect repair instructor that instructs remelting of a region that is determined by the defect determiner to have a defect.
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