Experimental and Theoretical Analysis of Frequency- and Temperature-Dependent Characteristics in Viscoelastic Materials Using Prony Series

This study comprehensively investigates the frequency- and temperature-dependent viscoelastic properties of two elastomer materials, focusing on the comparison between experimental results and theoretical models derived from Prony series coefficients. Dynamic Mechanical Analysis (DMA) was performed...

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Main Authors: Gökhan Aslan, Nizami Aktürk
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Mechanics
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Online Access:https://www.mdpi.com/2673-3161/5/4/44
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author Gökhan Aslan
Nizami Aktürk
author_facet Gökhan Aslan
Nizami Aktürk
author_sort Gökhan Aslan
collection DOAJ
description This study comprehensively investigates the frequency- and temperature-dependent viscoelastic properties of two elastomer materials, focusing on the comparison between experimental results and theoretical models derived from Prony series coefficients. Dynamic Mechanical Analysis (DMA) was performed across a broad temperature range of 0–100 °C and frequency range of 0.1–100 Hz to generate storage modulus and relaxation modulus data for both materials. Relaxation tests were conducted at 25 °C to further characterize the time-dependent behavior. Time–Temperature Superposition (TTS) was applied to the resultant shift factors used to fit both Williams–Landel–Ferry (WLF) and Arrhenius equations. Additionally, sinusoidal sweep tests were carried out at 0 °C, 25 °C, 50 °C, and 80 °C, with frequencies ranging from 1 Hz to 1000 Hz, to experimentally determine the natural frequencies of the elastomers. The findings demonstrate that Prony series coefficients derived from storage modulus data offer a more accurate prediction of the viscoelastic response and natural frequencies compared to those derived from relaxation modulus data. The storage modulus data closely match the experimentally observed natural frequencies, while the relaxation modulus data exhibit larger deviations, particularly at higher temperatures. The study also reveals temperature-dependent behavior, where increasing temperature reduces the stiffness of the materials, leading to lower natural frequencies. This comprehensive analysis highlights the importance of selecting appropriate modeling techniques and data sources, particularly when predicting dynamic responses under varying temperature and frequency conditions.
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spelling doaj-art-9626209fd18b48cc93f12fbbc88f5b7d2025-08-20T02:00:50ZengMDPI AGApplied Mechanics2673-31612024-11-015478680310.3390/applmech5040044Experimental and Theoretical Analysis of Frequency- and Temperature-Dependent Characteristics in Viscoelastic Materials Using Prony SeriesGökhan Aslan0Nizami Aktürk1Graduate School of Natural and Applied Sciences, Gazi University, 06500 Ankara, TurkeyDepartment of Mechanical Engineering, Faculty of Engineering, Gazi University, 06570 Ankara, TurkeyThis study comprehensively investigates the frequency- and temperature-dependent viscoelastic properties of two elastomer materials, focusing on the comparison between experimental results and theoretical models derived from Prony series coefficients. Dynamic Mechanical Analysis (DMA) was performed across a broad temperature range of 0–100 °C and frequency range of 0.1–100 Hz to generate storage modulus and relaxation modulus data for both materials. Relaxation tests were conducted at 25 °C to further characterize the time-dependent behavior. Time–Temperature Superposition (TTS) was applied to the resultant shift factors used to fit both Williams–Landel–Ferry (WLF) and Arrhenius equations. Additionally, sinusoidal sweep tests were carried out at 0 °C, 25 °C, 50 °C, and 80 °C, with frequencies ranging from 1 Hz to 1000 Hz, to experimentally determine the natural frequencies of the elastomers. The findings demonstrate that Prony series coefficients derived from storage modulus data offer a more accurate prediction of the viscoelastic response and natural frequencies compared to those derived from relaxation modulus data. The storage modulus data closely match the experimentally observed natural frequencies, while the relaxation modulus data exhibit larger deviations, particularly at higher temperatures. The study also reveals temperature-dependent behavior, where increasing temperature reduces the stiffness of the materials, leading to lower natural frequencies. This comprehensive analysis highlights the importance of selecting appropriate modeling techniques and data sources, particularly when predicting dynamic responses under varying temperature and frequency conditions.https://www.mdpi.com/2673-3161/5/4/44viscoelastic materialsProny seriesdynamic mechanical analysisTime–Temperature Superposition (TTS)Williams–Landel–Ferry (WLF) equationArrhenius equation
spellingShingle Gökhan Aslan
Nizami Aktürk
Experimental and Theoretical Analysis of Frequency- and Temperature-Dependent Characteristics in Viscoelastic Materials Using Prony Series
Applied Mechanics
viscoelastic materials
Prony series
dynamic mechanical analysis
Time–Temperature Superposition (TTS)
Williams–Landel–Ferry (WLF) equation
Arrhenius equation
title Experimental and Theoretical Analysis of Frequency- and Temperature-Dependent Characteristics in Viscoelastic Materials Using Prony Series
title_full Experimental and Theoretical Analysis of Frequency- and Temperature-Dependent Characteristics in Viscoelastic Materials Using Prony Series
title_fullStr Experimental and Theoretical Analysis of Frequency- and Temperature-Dependent Characteristics in Viscoelastic Materials Using Prony Series
title_full_unstemmed Experimental and Theoretical Analysis of Frequency- and Temperature-Dependent Characteristics in Viscoelastic Materials Using Prony Series
title_short Experimental and Theoretical Analysis of Frequency- and Temperature-Dependent Characteristics in Viscoelastic Materials Using Prony Series
title_sort experimental and theoretical analysis of frequency and temperature dependent characteristics in viscoelastic materials using prony series
topic viscoelastic materials
Prony series
dynamic mechanical analysis
Time–Temperature Superposition (TTS)
Williams–Landel–Ferry (WLF) equation
Arrhenius equation
url https://www.mdpi.com/2673-3161/5/4/44
work_keys_str_mv AT gokhanaslan experimentalandtheoreticalanalysisoffrequencyandtemperaturedependentcharacteristicsinviscoelasticmaterialsusingpronyseries
AT nizamiakturk experimentalandtheoreticalanalysisoffrequencyandtemperaturedependentcharacteristicsinviscoelasticmaterialsusingpronyseries