Invention Publication
- Patent Title: MATERIAL CHARACTERISTICS PREDICTION METHOD AND MODEL GENERATION METHOD
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Application No.: US18548405Application Date: 2022-03-14
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Publication No.: US20240136026A1Publication Date: 2024-04-25
- Inventor: Shimpei TAKEMOTO , Yoshishige OKUNO , Takeshi KANESHITA
- Applicant: SHOWA DENKO K.K.
- Applicant Address: JP Tokyo
- Assignee: SHOWA DENKO K.K.
- Current Assignee: SHOWA DENKO K.K.
- Current Assignee Address: JP Tokyo
- Priority: JP 21043191 2021.03.16
- International Application: PCT/JP2022/011453 2022.03.14
- Date entered country: 2023-08-29
- Main IPC: G16C20/30
- IPC: G16C20/30 ; G16C20/70

Abstract:
Model setting step sets a trained model acquired by machine learning of a correspondence relationship between an explanatory variable including information related to a material composition or a manufacturing condition of a target material, and an objective variable including information related to the material characteristics of the target material, and prediction step inputs an explanatory variable related to a target material whose material characteristics is to be predicted to the trained model set in the model setting step, and outputs an objective variable related to information of the explanatory variable, so as to predict the material characteristics of the target material to be predicted based on the objective variable. The explanatory variable includes a material characteristics evaluation temperature that is a temperature at a time of measurement of the material characteristics included in the objective variable, and an evaluation temperature holding time that is a time during which the material characteristics evaluation temperature is held until the measurement of the material characteristics.
Public/Granted literature
- US20240233879A9 MATERIAL CHARACTERISTICS PREDICTION METHOD AND MODEL GENERATION METHOD Public/Granted day:2024-07-11
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