Modeling of Viscoelastic Behavior of Flexible Polyurethane Foams Under Quasi-Static and Cyclic Regimes

Author(s):  
Makram Elfarhani ◽  
Ali Mkaddem ◽  
Ahmed Al-Zahrani ◽  
Abdessalem Jarraya ◽  
Mohamed Haddar
2019 ◽  
Vol 16 (3) ◽  
pp. 519-537
Author(s):  
Makram Elfarhani ◽  
Ali Mkaddem ◽  
Ahmed A. Alzahrani ◽  
Abdullah S. Bin Mahfouz ◽  
Abdessalem Jarraya ◽  
...  

Purpose The efficiency of fractional derivative and hereditary combined approach in modeling viscoelastic behavior of soft foams was successfully addressed in Elfarhani et al. (2016a). Since predictions obtained on flexible polyurethane foam (FPF) type A (density 28 kg m−3) were found very promoting, the purpose of this paper is to apply the approach basing on two other types of foams. Both soft polyurethane foams type B of density 42 kg m−3 and type C of density 50 kg m−3 were subjected to multi-cycles compressive tests. Design/methodology/approach The total foam response is assumed to be the sum of a non-linear elastic component and viscoelastic component. The elastic force is modeled by a seven-order polynomial function of displacement. The hereditary approach was applied during the loading half-cycles to simulate the short memory effects while the fractional derivative approach was applied during unloading cycles to simulate the long memory effects. An identification methodology based on the separation of the measurements of each component force was developed to avoid parameter admixture problems. Findings The proposed model reveals good reliability in predicting the responses of the two considered flexible foams. Predictions as measurements establish that residual responses were negligible compared to elastic and viscoelastic damping responses. Originality/value The development of a new combined model reveals good reliability in predicting the responses of the two polyurethane foams type A and B.


Author(s):  
Yousof Azizi ◽  
Patricia Davies ◽  
Anil K. Bajaj

Flexible polyethylene foam is used in many engineering applications. It exhibits nonlinear and viscoelastic behavior which makes it difficult to model. To date, several models have been developed to characterize the complex behavior of foams. These attempts include the computationally intensive microstructural models to continuum models that capture the macroscale behavior of the foam materials. In this research, a nonlinear viscoelastic model, which is an extension to previously developed models, is proposed and its ability to capture foam response in uniaxial compression is investigated. It is hypothesized that total stress can be decomposed into the sum of a nonlinear elastic component, modeled by a higher-order polynomial, and a nonlinear hereditary type viscoelastic component. System identification procedures were developed to estimate the model parameters using uniaxial cyclic compression data from experiments conducted at six different rates. The estimated model parameters for individual tests were used to develop a model with parameters that are a function of strain rates. The parameter estimation technique was modified to also develop a comprehensive model which captures the uniaxial behavior of all six tests. The performance of this model was compared to that of other nonlinear viscoelastic models.


2016 ◽  
Vol 54 (1) ◽  
pp. 37-52 ◽  
Author(s):  
I Eceiza ◽  
L Irusta ◽  
A Barrio ◽  
MJ Fernández-Berridi

Novel isophorone diisocyanate-based flexible polyurethane foams were prepared by the one-step method in a computerized foam qualification system (FOAMAT). The experimental conditions to obtain this type of foams, in relation to the nature and concentration of catalysts as well as the reaction temperature, were established as no data were available in scientific literature. The chemical reactions occurring during the foam generation process were monitored in situ by attenuated total reflectance-FTIR spectroscopy. The kinetics of the foam generation was fitted to an nth order model and the data showed that the foaming process adjusted to a first-order kinetics. The physical changes as pressure, foam height, and dielectric polarization were monitored by the FOAM software (FOAMAT). According to these parameters, the foaming process was divided into four steps: bubble growth, bubble packing, cell opening, and final curing.


1993 ◽  
Vol 50 (10) ◽  
pp. 731-738 ◽  
Author(s):  
Noriyuki MOROHOSHI ◽  
Chun-Chieh HONG ◽  
Miyako MORIMOTO ◽  
Takashi OOHASHI ◽  
Hiroyuki MATUMOTO

Author(s):  
Bicerano ◽  
R Daussin ◽  
M Elwell ◽  
van der Wal ◽  
Berthevas ◽  
...  

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