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Title:
MACHINE-LEARNING DEVICE, LAMINATE MOLDING SYSTEM, MACHINE-LEARNING METHOD FOR WELDING CONDITION, ADJUSTMENT METHOD FOR WELDING CONDITION, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2022/014240
Kind Code:
A1
Abstract:
Provided is a machine-learning device which performs machine learning for welding conditions when a laminated molding article is molded by welding a filler material and laminating weld beads, wherein the machine-learning device comprises a training process means which performs a training process for generating a trained model in which two pieces of shape data of the welding beads or the difference between the two pieces of shape data is taken as input data, and the difference between welding conditions, which corresponds to the difference between the two pieces of shape data, is taken as output data.

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Inventors:
HUANG SHUO
Application Number:
PCT/JP2021/022941
Publication Date:
January 20, 2022
Filing Date:
June 16, 2021
Export Citation:
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Assignee:
KOBE STEEL LTD (JP)
International Classes:
B23K9/04; B23K9/032; B33Y30/00; B33Y50/00
Domestic Patent References:
WO2019198212A12019-10-17
Foreign References:
JP2020006378A2020-01-16
JP2018149570A2018-09-27
JP2020001059A2020-01-09
JP2018027558A2018-02-22
JP2017030014A2017-02-09
JP2020121581A2020-08-13
Other References:
REISGEN U.; MANN S.; OSTER L.; LOZANO P.; SHARMA R.: "Study on Workpiece and Welding Torch Height Control for Polydirectional WAAM by Means of Image Processing", 2019 IEEE 15TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 22 August 2019 (2019-08-22), pages 6 - 11, XP033618457, DOI: 10.1109/COASE.2019.8843076
See also references of EP 4166265A4
Attorney, Agent or Firm:
EIKOH PATENT FIRM, P.C. (JP)
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