Using DMA to Simultaneously Acquire Young's Relaxation Modulus and Time-dependent Poisson's Ratio of a Viscoelastic Material

Chen, Dao Long; Chiu, Tz Cheng; Chen, Tei Chen; Chung, Ming Hua; Yang, Ping; Lai, Yi-Sheng

doi:10.1016/j.proeng.2014.06.324

Cited by 13 publications

(13 citation statements)

References 19 publications

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“…In spite of this variety of models, such as quasilinear models [ 10 , 11 ], fractional models [ 12 , 13 ], and other nonlinear models [ 14 , 15 ], linear models in the form of a Prony series are the simplest and therefore the most widely used in industrial practice [ 8 , 16 ]. In order to create mathematical models that allow for good calculations, the identification of the parameters of viscoelastic material models is a permanent issue in engineering research [ 17 , 18 ]. The limits of an accurate identification imply limitations to the applications in many engineering fields [ 5 , 7 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Tensile Modulus of a Thermoplastic Material from Dynamic Mechanical Analysis: Application to Polyamide 66

et al. 2022

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The mechanical properties of thermoplastic materials depend on temperature and strain rate. This study examined the development of a procedure to predict tensile moduli at different strain rates and temperatures, using experimental data from three-point-bending dynamic mechanical analysis (DMA). The method integrated different classical concepts of rheology to establish a closed formulation that will allow researchers save an important amount of time. Furthermore, it implied a significant decrease in the number of tests when compared to the commonly used procedure with a universal testing machine (UTM). The method was validated by means of a prediction of tensile moduli of polyamide PA66 in the linear elastic range, over a temperature range that included the glass-transition temperature. The method was applicable to thermo-rheologically simple materials under the hypotheses of isotropy, homogeneity, small deformations, and linear viscoelasticity. This method could be applicable to other thermoplastic materials, although it must be tested using these other materials to determine to what extent it can be applied reliably.

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Section: Introductionmentioning

confidence: 99%

Estimation of Tensile Modulus of a Thermoplastic Material from Dynamic Mechanical Analysis: Application to Polyamide 66

et al. 2022

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“…used dynamic thermomechanical analysis (DMA) to simultaneously acquire Young's relaxation modulus and time‐dependent Poisson's ratio of an epoxy molding compound (EMC) with the assumption of constant bulk modulus. They found the viscoelastic Poisson's ratio of EMC varies significantly over time from 0.4 to 0.496, and can't be assumed as a constant . Md et al.…”

Section: Introductionmentioning

confidence: 99%

“…The viscoelastic Poisson's ratio, ν ( t ), is a material mechanical property, which is closely related to time, temperature, and strain . Solid propellants are viscoelastic materials and the Poisson's ratio of solid propellants is an essential input parameter in structural integrity analysis of solid rocket motors (SRM).…”

Section: Introductionmentioning

confidence: 99%

“…

1IntroductionThe viscoelastic Poisson's ratio, n(t), is amaterialm echanical property,w hich is closely related to time,t emperature, and strain [1][2][3][4][5][6][7][8][9][10][11].S olid propellants are viscoelastic materials and the Poisson's ratio of solid propellants is an essential input parameter in structural integrity analysis of solid rocket motors (SRM). It has been shown that changes of the Poisson's ratio in micrometer level have great influence on the structural integrity analysis of solid rocket motors [12,13].I ti sc ommonly assumed thatt he Poisson'sr atio is am aterial constant and independent of temperature and strain [14,15].I na ddition, the aging effect on the Poisson's ratio attracts attention in the shelf life predictiono fp ropellants [16].T hus, there are practical as well as theoretical aspects that make it highly desirable to stimulatet he experimental determination of the Poisson's ratio of solid propellants on as ecure analyticalf oundation.Previously,i th as been attempted to use manyd irect or indirect methods measure viscoelastic Poisson's ratio for al ong time.

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confidence: 99%

“…They conductedt he stress relaxation tests at five constant strain levels and accounted for the strain-dependence of the Poisson's ratio through an equation of Smith [17,18].K nauss et alm easured the timedependent Poisson'sr atio of commercial poly by using as peckle interferometric techniquea t1 2t emperatures ranging from 25 8Ct o1 25 8C [ 19].C hen et al used dynamic thermomechanical analysis (DMA) to simultaneously acquire Young's relaxation modulus and time-dependent Poisson's ratio of an epoxy molding compound( EMC) with the assumptiono fc onstant bulk modulus. They foundt he viscoelastic Poisson'sr atio of EMC varies significantly over time from 0.4 to 0.496,a nd can't be assumed as ac onstant [8].M de tal. conducted relaxationt ests at different temperatures in diametrical mode to obtain Poisson'sr atio of asphalt concrete (AC) [7].I na ddition, they also performed cyclic load test at different temperatures and loading frequencies to determine the temperature-and frequency-dependent Poisson's ratio of AC.…”

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confidence: 99%

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Study on the Viscoelastic Poisson‘s Ratio of Solid Propellants Using Digital Image Correlation Method

Cui

Tang

Shen

2016

Propellants Explo Pyrotec

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Digital image correlation methods were used for further studies of the viscoelastic Poisson's ratio of solid propellants. The Poisson's ratio and the Young's relaxation modulus of solid propellants were separately determined in a single stress relaxation test. In addition, the effects of temperature, longitudinal strain, preload and storage time on the Poisson's ratio of solid propellants were discussed. The Poisson's ratio master curve and the Young's relaxation modulus master curve were constructed based on the time‐temperature equivalence principle. The obtained results showed that the Poisson's ratio of solid propellants is a monotone non‐decreasing function of time, the instantaneous Poisson's ratio increased from 0.3899 to 0.4858 and the time of the equilibrium Poisson's ratio occurred late when the temperature was varied from −30 °C to 70 °C. The Poisson's ratio increased with temperature and longitudinal strain, decreased with preload and storage time, while the amplitude Poisson's ratio increased with preload, decreases with longitudinal strain and storage time. The time of the equilibrium Poisson's ratio occurred in advance with the increase of longitudinal strain, preload and storage time.

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Prediction of temperature-frequency-dependent mechanical properties of composites based on thermoplastic liquid resin reinforced with carbon fibers using artificial neural networks

Barbosa

Gomes

Ancelotti

2019

Int J Adv Manuf Technol

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Using DMA to Simultaneously Acquire Young's Relaxation Modulus and Time-dependent Poisson's Ratio of a Viscoelastic Material

Cited by 13 publications

References 19 publications

Estimation of Tensile Modulus of a Thermoplastic Material from Dynamic Mechanical Analysis: Application to Polyamide 66

Estimation of Tensile Modulus of a Thermoplastic Material from Dynamic Mechanical Analysis: Application to Polyamide 66

Study on the Viscoelastic Poisson‘s Ratio of Solid Propellants Using Digital Image Correlation Method

Prediction of temperature-frequency-dependent mechanical properties of composites based on thermoplastic liquid resin reinforced with carbon fibers using artificial neural networks

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