Polymer raw material data analysis device and polymer raw material data analysis method

The polymer raw material data analysis device and method improve prediction accuracy by using one-dimensional spectral information and machine learning to create a learning model for predicting the structure and composition of polymer raw materials, particularly for diene rubbers like styrene-butadiene rubber.

JP7610094B2Active Publication Date: 2025-01-08THE YOKOHAMA RUBBER CO LTD
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Patent Information

Application Number
JP2020115773
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2020-07-03
Publication Date
2025-01-08
Estimated Expiration
2040-07-03

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Abstract

To provide a high polymer material data analysis device and a high polymer material data analysis method in which a structure and composition of a high polymer material can be predicted with high prediction accuracy based on actually measured one-dimensional spectral information of the high polymer material.SOLUTION: A high polymer material data analysis method comprises the steps of: obtaining actually measured one-dimensional spectral information of plural kinds of high polymer materials; normalizing the one-dimensional spectral information for each high polymer material; obtaining composition information and structure information of the high polymer material and normalizing them for each piece of structure information of the high polymer material; calculating a correlation coefficient by correlation analysis based on the normalized one-dimensional spectral information and the normalized structure information; creating a learning model in which the one-dimensional spectral information is used as explanatory variable, and either one of the composition information or the structure information of the high polymer material is used as objective variable; repeatedly creating the learning model until an outcome of the learning model satisfies determination conditions; and predicting either one of structure or composition of the high polymer material by the learning model satisfying the determination conditions, using the one-dimensional spectral information.SELECTED DRAWING: Figure 2
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