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

Abstract

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.

Keywords

• viscoelasticity
• master curve
• time-temperature shift factor
• generalized maxwell model