Journal
POLYMER ENGINEERING AND SCIENCE
Volume 61, Issue 5, Pages 1299-1309Publisher
WILEY
DOI: 10.1002/pen.25640
Keywords
acrylic-based copolymers; finite element modeling; interpenetrating polymer networks (IPNs); polyurethane; stress relaxation
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Funding
- Auburn University
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The stress relaxation behavior of acrylic-polyurethane (PU)-based graft-interpenetrating polymer networks (IPNs) was studied through dynamic mechanical analysis (DMA) and numerical modeling using finite element method (FEM). Experimental results were used to develop a three-dimensional FEM model, with good agreement between experimental observations and FEM model results. The effects of varying styrene content, phase compatibility in IPNs, and concentration of acrylic copolymer and PU on stress relaxation were investigated.
The stress relaxation behavior of acrylic-polyurethane (PU)-based graft-interpenetrating polymer networks (IPNs) was characterized via dynamic mechanical analysis (DMA) and modeled using finite element method (FEM) analysis. Stress relaxation of glassy IPN specimens was experimentally studied under flexural testing, while rubbery IPN specimens were tested in tension. The effects of varying the styrene content in the acrylic copolymer phase, compatibility of the two phases in IPNs, and changing the concentration of acrylic copolymer and PU were studied. A higher percentage of styrene content resulted in higher homogeneity of IPN specimens, and decrease in initial modulus for acrylic copolymer specimens. Additionally, glassy IPN specimens with 90% styrene shows resistance to relaxation as high as acrylic copolymer samples. Experimental results were used to develop a numerical model to study stress relaxation response of specimens. While polymer systems have been studied computationally, numerical modeling of IPN systems is still in its infancy. A three-dimensional FEM model was developed using the Generalized Maxwell model and four-term Prony series constants, which were extracted from the stress relaxation experiments. With four terms in the Prony series, a good match was observed between experimental observations and results from the FEM model.
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