scholarly journals Time–Temperature–Plasticization Superposition Principle: Predicting Creep of a Plasticized Epoxy

Polymers ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 1848 ◽  
Author(s):  
Andrey E. Krauklis ◽  
Anton G. Akulichev ◽  
Abedin I. Gagani ◽  
Andreas T. Echtermeyer

Long-term creep properties and the effect of water are important for fiber reinforced polymer (FRP) composite materials used in offshore applications. Epoxies are often used as a matrix material in such composites. A typical design lifetime of offshore FRP structures is 25 or more years in direct contact with water leading to some deterioration of the material properties. Knowing and predicting the extent of the material property deterioration in water is of great interest for designers and users of the offshore FRP structures. It has been established that the time–temperature superposition principle (TTSP) is a useful tool for estimating changes in properties of polymer materials at long times or extreme temperatures. In this work, a time–temperature–plasticization superposition principle (TTPSP) is described and used for predicting the long-term creep behavior of an epoxy compound. The studied epoxy does not degrade chemically via hydrolysis or chain scission but is negatively affected by plasticization with water. The methodology enables prediction of the long-term viscoelastic behavior of amorphous polymers at temperatures below the glass transition (Tg) using short-term creep experimental data. The results also indicate that it is possible to estimate the creep behavior of the plasticized polymer based on the short-term creep data of the respective dry material and the difference between Tg values of dry polymer and plasticized polymer. The methodology is useful for accelerated testing and for predicting the time-dependent mechanical properties of a plasticized polymer below the glass transition temperature.

2004 ◽  
Vol 19 (3) ◽  
pp. 313-319 ◽  
Author(s):  
S. D. Lim ◽  
J. M. Rhee ◽  
C. Nah ◽  
S.-H. Lee ◽  
M.-Y. Lyu

2006 ◽  
Vol 519-521 ◽  
pp. 1041-1046 ◽  
Author(s):  
Brian Wilshire ◽  
H. Burt ◽  
N.P. Lavery

The standard power law approaches widely used to describe creep and creep fracture behavior have not led to theories capable of predicting long-term data. Similarly, traditional parametric methods for property rationalization also have limited predictive capabilities. In contrast, quantifying the shapes of short-term creep curves using the q methodology introduces several physically-meaningful procedures for creep data rationalization and prediction, which allow straightforward estimation of the 100,000 hour stress rupture values for the aluminum alloy, 2124.


2018 ◽  
Vol 25 (3) ◽  
pp. 713-722 ◽  
Author(s):  
Seen Chan Kim ◽  
Jae-Hyeok Shim ◽  
Woo-Sang Jung ◽  
Yoon Suk Choi

Author(s):  
Hideo Hiraguchi

Abstract Recently the Discrete Cosine Transform[1], [2], [3] which is a modified Fourier Transform has begun to be used to express coefficients of creep equations using the power law or the exponential law such as Bailey-Norton law[4], [5] and θ Projection[6], [7], [8], [9], [10]. In addition, the Discrete Cosine Transform has begun to be used to express a creep equation itself. We have already found that the Discrete Cosine Transform can express the temperature and stress dependence property of the coefficients of the creep equations at the same time by the two-dimensional Discrete Cosine Transform using 8 × 8 discrete signals[11]. Furthermore, we have already found that the Discrete Cosine Transform can fit measured creep strain values very well from the primary creep region to the tertiary creep region using 8 discrete signals and it can estimate creep strain values between the measured points by interpolation very well[12]. However it has not been known if the Discrete Cosine Transform can predict the long term creep curve by using the short term creep data yet. Therefore, as a next stage, we tried to estimate the long term creep curve from the short term creep data of gas turbine materials by extrapolation using the Discrete Cosine Transform. As a result, we were able to obtain a useful numerical analysis method by utilizing the Discrete Cosine Transform Coefficients and others as a new extrapolation method. It is found that this new numerical method would be able to predict the configuration of 150,000-hour creep curve by using 500-hour to 13,000-hour short term creep data.


2016 ◽  
Vol 25 (6) ◽  
pp. 2307-2317 ◽  
Author(s):  
Felipe Rocha Caliari ◽  
Kátia Cristiane Gandolpho Candioto ◽  
Antônio Augusto Couto ◽  
Carlos Ângelo Nunes ◽  
Danieli Aparecida Pereira Reis

2014 ◽  
Vol 55 (3) ◽  
pp. 693-700 ◽  
Author(s):  
Wei-Hong Wang ◽  
Hai-Bing Huang ◽  
Hu-Hu Du ◽  
Haigang Wang

2010 ◽  
Vol 41 (1) ◽  
pp. 18-28 ◽  
Author(s):  
H. Wurmbauer ◽  
M. Panzenböck ◽  
H. Leitner ◽  
C. Scheu ◽  
H. Clemens

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