New prediction technique of master curve of rubber material from the data by dynamic mechanical analyzer

Autor: Naruto MAEDA, Masaki FUJIKAWA, Tatsujiro MIYAZAKI, Chobin MAKABE, Junichiro YAMABE, Masataka KOISHI
Jazyk: japonština
Rok vydání: 2016
Předmět:
Zdroj: Nihon Kikai Gakkai ronbunshu, Vol 82, Iss 843, Pp 16-00022-16-00022 (2016)
Druh dokumentu: article
ISSN: 2187-9761
DOI: 10.1299/transjsme.16-00022
Popis: A new prediction technique of master curve from limited data measured under temperature variance and constant frequency in a dynamic measurement tester has been proposed. The highlight of this technique is a high-accuracy prediction despite the use of the limited data. Our methodology requires that experimental storage and loss moduli satisfy a certain relationship derived from the linear viscoelastic theory. This requirement enables to predict a precise master curve in a wide range of frequencies from the limited data. Investigations of the method's effectiveness and stability have been performed with two materials: carbon-black-filled styrene-butadiene rubber (SBR) with a volume fraction of 10% and silica-filled SBR with a volume fraction of 25%. The mater curves predicted with the limit data on the basis of the new technique were successfully consistent with those predicted by the ordinary method which uses a lot of data measured under temperature and frequency variances and it was demonstrated that the new method showed an excellent predictive performance.
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