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Application of Rotational Isomeric State Theory to Ionic Polymer Stiffness Predictions

Published online by Cambridge University Press:  03 March 2011

Lisa Mauck Weiland*
Affiliation:
Department of Mechanical Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261
Emily K. Lada
Affiliation:
Statistical and Applied Mathematical Sciences Institute (SAMSI), Research Triangle Park, North Carolina 27709
Ralph C. Smith
Affiliation:
Center for Research in Scientific Computation, Department of Mathematics, North Carolina State University, Raleigh, North Carolina 27695
Donald J. Leo
Affiliation:
Center for Intelligent Material Systems and Structures, Department of Mechanical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061
*
a) Address all correspondence to this author. e-mail: [email protected]
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Abstract

Presently, rotational isomeric state (RIS) theory directly addresses polymer chain conformation as it relates to mechanical response trends. The primary goal of this work is to explore the adaptation of this methodology to the prediction of material stiffness. This multiscale modeling approach relies on ionomer chain conformation and polymer morphology and thus has potential as both a predictive modeling tool and a synthesis guide. The Mark–Curro Monte Carlo methodology is applied to generate a statistically valid number of end-to-end chain lengths via RIS theory for four solvated Nafion® cases. For each case, a probability density function for chain length is estimated using various statistical techniques, including the classically applied cubic spline approach. It is found that the stiffness prediction is sensitive to the fitting strategy. The significance of various fitting strategies, as they relate to the physical structure of the polymer, are explored so that a method suitable for stiffness prediction may be identified.

Type
Articles
Copyright
Copyright © Materials Research Society 2005

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References

REFERENCES

1Sadeghipour, K., Salomon, R. and Neogi, S.: Development of a novel electrochemically active membrane and “smart” material based vibration sensor/damper. Smart Mater. Struct. 1(2), 172 (1992).CrossRefGoogle Scholar
2Oguro, K., Kawami, Y. and Takenaka, H.: An actuator element of polyelectrolyte gel membrane–electrode composite. Osaka Kogyo Gijutsu Shikensho Kiho 43(1), 21 (1992).Google Scholar
3Osada, Y. and Hasebe, M.: Electrically activated mechanochemical devices using polyelectrolyte gels. Chem. Lett. , 1285 (1985).Google Scholar
4Irie, M.: Photoresponsive polymers. Reversible bending of rod-shaped acrylamide gels in an electric field. Macromolecules 19, 2890 (1986).CrossRefGoogle Scholar
5Shiga, T. and Kurauchi, T.: Deformation of polyelectrolyte gels under the influence of electric field. J. Appl. Polym. Sci. 39, 2305 (1990).Google Scholar
6Shahinpoor, M.: Conceptual design, kinematics and dynamics of swimming robotic structures using ionic polymeric gel muscles. Smart Mater. Struct. 1(1), 91 (1992).Google Scholar
7Shahinpoor, M., Bar-Cohen, Y., Simpson, J.O. and Smith, J.: Ionic polymer–metal composites (IPMCs) as biomimetic sensors, actuators and artificial muscles—a review. Smart Mater. Struct. 7(6), R15 (1998).CrossRefGoogle Scholar
8Bar-Cohen, Y. editor: Electroactive Polymer (EAP) Actuators as Artificial Muscles—Reality, Potential, and Challenges (SPIE, The International Society for Optical Engineering, Bellingham, WA, 2001).Google Scholar
9Mojarrad, M. and Shahinpoor, M.: Ion exchange membrane–platinum composites as electrically controllable artificial muscles. SPIE Proc. 2779, 1012 (1996).Google Scholar
10Nemat-Nasser, S.: Micromechanics of actuation of ionic polymer– metal composites (IPMCs). J. Appl. Phys. 92(5), 2899 (2002).CrossRefGoogle Scholar
11Farinholt, K., Newbury, K., Bennet, M., and Leo, D.: An investigation into the relationship between charge and strain in ionic polymer sensors, in First World Congress on Biomimetics and Artificial Muscles, Albuquerque, NM, 9–11 December 2002) Environmental Robotics, Inc., Alburquerque, NM, https://environmental-robots.com/registration1.htm.Google Scholar
12Hsu, W.Y. and Gierke, T.D.: Elastic theory for ionic clustering in perfluorinated ionomers. Macromolecules 15, 101 (1982).Google Scholar
13Datye, V.K., Taylor, P.L. and Hopfinger, A.J.: Simple model for clustering and ionic transport in ionomer membranes. Macromolecules 17, 1704 (1984).Google Scholar
14Datye, V.K. and Taylor, P.L.: Electrostatic contributions to the free energy of clustering of an ionomer. Macromolecules 18, 1479 (1985).Google Scholar
15Lehmani, A., Durand-Vidal, S. and Turq, P.: Surface morphology of Nafion 117 membrane by tapping mode atomic force microscope. J. Appl. Poly. Sci. 68, 503 (1998).3.0.CO;2-V>CrossRefGoogle Scholar
16Barbi, V., Funari, S., Gehrke, R., Scharnagl, N. and Stribeck, N.: Nanostructure of Nafion membrane material as a function of mechanical load studied by SAXS. Polymer 44, 4853 (2003).CrossRefGoogle Scholar
17de Gennes, P.G., Okumura, M. Ko, Shahinpoor, M. and Kim, K.J.: Mechanoelectric effects in ionic gels. Europhys. Lett. 50(4), 513 (2000).Google Scholar
18Asaka, K. and Oguro, K.: Bending of polyelectrolyte membrane platinum composites by electric stimuli. J. Electr. Chem. 480, 186 (2000).Google Scholar
19Li, J.Y. and Nasser, S. Nemat: Micromechanical analysis of ionic clustering in Nafion perfluorinated membrane. Mech. Mater. 32, 303 (2000).Google Scholar
20Nemat-Nasser, S. and Li, J.Y.: Electromechanical response of ionic polymer–metal composites. J. Appl. Phys. 87(7), 3321 (2000).CrossRefGoogle Scholar
21Weiland, L.M. and Leo, D.J.: Computational analysis of ionic polymer cluster energetics. J. Appl. Phys. 97, 013541 (2004).CrossRefGoogle Scholar
22Treloar, L.R.G.: The Physics of Rubber Elasticity, 3rd ed. (Clarendon Press, Oxford, U.K., 1975).Google Scholar
23Grot, W.G.F., Munn, C.E., and Walmsley, P.N.: Perfluorinated in exchange membrane, in 141st Meeting of the Electrochemical Society, Houston, TX, May 1972, Vol. 72-1, p. 394.Google Scholar
24Flory, P.J.: Statistical Mechanics of Chain Molecules (Hanser Publishers, New York, NY, 1988).Google Scholar
25Mattice, W.L. and Suter, U.W.: Conformational Theory of Large Molecules. The Rotational Isomeric State Model in Macromolecular Systems (Wiley, New York, 1994).Google Scholar
26Rehahn, M., Mattice, W.L. and Suter, U.W.: Rotational isomeric state models in macromolecular systems. Adv. Polym. Sci. 131/132, 1 (1997).Google Scholar
27Mark, J.E. and Curro, J.G.: A non-Gaussian theory of rubberlike elasticity based on rotational isomeric state simulations of network chain configurations. I. Polyethylene and polydimethylsiloxane short-chain unimodal networks. J. Chem. Phys. 79(11), 5705 (1983).Google Scholar
28Yuan, Q.W., Kloczkowski, A., Mark, J.E. and Sharaf, M.A.: Simulations on the reinforcement of poly(dimethylsiloxane) elastomers by randomly distributed filler particles. J. Polym. Sci. B: Polym. Phys. 34, 1647 (1996).3.0.CO;2-7>CrossRefGoogle Scholar
29Sharaf, M.A. and Mark, J.E.: Monte Carlo simulations on the effects of nanoparticles on chain deformations and reinforcement in amorphous polyethylene networks. Polymer 45, 3943 (2004).Google Scholar
30Sharaf, M.A., Jasiuk, I.M. and Jacob, K.I.: Monte Carlo Simulations combined with micromechanics to predict effective elastic moduli of elastomeric nanocomposites filled with unidirectional rigid inclusions. Polym. Preprints 44(1), 1249 (2003).Google Scholar
31Bates, T.W. and Stockmayer, W.H.: Conformational energies of perfluoroalkanes. II. Dipole moments of H(CF2) n H. Macromolecules 1(1), 12 (1968).Google Scholar
32Mathews, J.L., Lada, E.K., Weiland, L.M., Smith, R.C. and Leo, D.J.: Monte Carlo simulation of a solvated ionic polymer with cluster morphology. Smart Mater Struct (submitted).Google Scholar
33Page, K.A. and Moore, R.B.: Correlations between bulk mechanical relaxations and spin diffusion times in perfluorosulfonate ionomers: molecular origins of mechanical relaxations. Polym. Preprints 44(1), 1144 (2003).Google Scholar
34Phillips, A.K. and Moore, R.B.: Phase behavior in solution processed perfluorosulfonate ionomers. Polym. Preprints 44(1), 1142 (2003).Google Scholar
35Everaers, R.: Entanglement effects in defect-free model polymer networks. N. J. Phys. 1(12), 1 (1999).CrossRefGoogle Scholar
36Jones, R.M.: Mechanics of Composite Materials (McGraw-Hill Book Company, New York, NY, 1975).Google Scholar
37Mauritz, K.A. and Moore, R.B.: State of understanding of Nafion. Chem. Rev. 104, 4535 (2004).CrossRefGoogle ScholarPubMed
38DeBrota, J., Dittus, R.S., Roberts, S.D., Wilson, J.R., Swain, J.J. and Venkatraman, S.: Modeling input processes with Johnson distributions. Proceedings of the Winter Simulation Conference (IEEE, Piscataway, NJ, 1989). p. 308.Google Scholar
39Kawano, Y., Wang, Y., Palmer, R.A. and Aubuchon, S.R.: Stress–strain curves of Nafion membranes in acid and salt forms. Polimeros 12(2), 96 (2002).CrossRefGoogle Scholar