Sequential automated time-temperature algorithm for dynamic mechanical analysis

Autor:	Erwan Verron, Michel Coret, F. Le Lay, J.F. Sigrist, C. Costes
Rok vydání:	2017
Předmět:	Reduced frequency Polynomial Noise Time–temperature superposition Computer science medicine Stiffness Experimental data Dynamic mechanical analysis medicine.symptom Algorithm Synthetic data
Zdroj:	Constitutive Models for Rubber X ISBN: 9781315223278 Scopus-Elsevier
DOI:	10.1201/9781315223278-35
Popis:	Dynamic Mechanical Analysis (DMA) is a widely used experimental technique to provide information about frequency and temperature-dependent mechanical response of polymer materials. Classically, it is used to produce master curves assuming the Time Temperature Superposition principle relating measures to a reference temperature behavior; it leads to the determination of both vertical and horizontal shift factors which respectively affect stiffness and reduced frequency. In this paper, we propose a robust automated generic algorithm that evaluates sequentially the vertical and horizontal shift factors avoiding over-fitting and polynomial instabilities. The derivation of this algorithm is detailed. Then its validation and comparison with other methods are presented considering synthetic data; the influence of noise is investigated. The method is finally applied and compared to other methods on real experimental data.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38128a2230d2a1f5f39ba0a9b0af7010 https://doi.org/10.1201/9781315223278-35 Zobrazit plný text záznamu