METHOD FOR OPTIMIZING MANUFACTURING CONDITION FOR POLYARYLENE SULFIDE RESIN COMPOSITE, AND METHOD FOR MANUFACTURING RESIN COMPOSITE

A method for optimizing manufacturing conditions for a polyarylene sulfide resin composite includes executing a machine learning algorithm using a data set including manufacturing conditions data and measured characteristics data. The manufacturing conditions data includes the manufacturing conditio...

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Hauptverfasser:	Takebayashi, Yoshihiro, Suzuki, Toru, Yoda, Satoshi, Yamaji, Toshinori, Takada, Shingo, Ono, Takumi
Format:	Patent
Sprache:	eng
Schlagworte:	CHEMISTRY COMPOSITIONS BASED THEREON COMPOSITIONS OF MACROMOLECULAR COMPOUNDS METALLURGY ORGANIC MACROMOLECULAR COMPOUNDS THEIR PREPARATION OR CHEMICAL WORKING-UP
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Zusammenfassung:	A method for optimizing manufacturing conditions for a polyarylene sulfide resin composite includes executing a machine learning algorithm using a data set including manufacturing conditions data and measured characteristics data. The manufacturing conditions data includes the manufacturing conditions items of at least ingredients for the polyarylene sulfide resin composite, mixing conditions, and polymer melt temperature during melt kneading, whereas the measured characteristics data includes the characteristic value item of at least the impact resistance of the polyarylene sulfide resin composite when produced under the manufacturing conditions specified by the manufacturing conditions data. Through the execution of the algorithm, it is found out which of the multiple items included in the manufacturing conditions data and the measured characteristics data is highly important for changes in a characteristic value for a target item for improved characteristics of the polyarylene sulfide resin composite selected as the objective variable.