Hostname: page-component-848d4c4894-m9kch Total loading time: 0 Render date: 2024-05-17T12:36:52.939Z Has data issue: false hasContentIssue false

Collapse of Isolated Chains in a Network

Published online by Cambridge University Press:  22 February 2011

R. M. Briber
Affiliation:
Department of Materials and Nuclear Engineering University of Maryland, College Park, MD 20742
X. Liu
Affiliation:
Department of Materials and Nuclear Engineering University of Maryland, College Park, MD 20742
B.J. Bauer
Affiliation:
Polymer Division, National Institute of Standard and Technology, Gaithersburg, MD 20899
Get access

Abstract

In this study we use small angle neutron scattering to investigate the conformation of linear deuterated polystyrene chains trapped in a crosslinked protonated polystyrene matrix. The second virial coefficient was obtained as a function of crosslink density for a wide range of crosslink density. It is shown that the second virial coefficient decreases with increasing crosslink density. By extrapolating the scattering to zero concentration of the linear chain at all values of q, the single chain scattering was obtained and radius of gyration was measured the function of network density. It was found that when the network density is low (NI < Nc where NI and Nc are the number of monomer units in the linear chain and the monomer units between crosslinks, respectively) the radius of gyration does not change. As the network density increases (NI > Nc ) radius of gyration decreases. In this region the inverse of the radius of gyration varies linearly with the inverse of Nc. When the crosslink density is very high (NI » Nc ), segregation of linear polymer chains occurs. These results are in agreement with prediction and computer simulation results of polymer chain conformation in a field of random obstacles where the crosslink junctions act as the effective obstacles.

Type
Research Article
Copyright
Copyright © Materials Research Society 1995

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

1 Boué, F., Farnoux, B. and Bastide, J., Europhys. Lett., 1(1), 637 (1986).Google Scholar
2 Wu, W.L. and Jong, L., Polymer, 34, 2357 (1993).Google Scholar
3 Muthukumar, M., J. Chem. Phys., 90, 4594 (1989); J.D. Honycutt and D. Thirumalai, ibid., 90, 4542 (1989); S.F. Edwards and M. Muthukumar, ibid., 89, 2435 (1988); A. Baumgärtner and M. Muthukumar, ibid., 87, 3082 (1987).Google Scholar
4 Douglas, J.F., Macromolecules, 21, 3515 (1988).Google Scholar
5 Zimm, B.H., J. Chem. Phys., 16, 1093 (1948); 16, 1099 (1948).Google Scholar
6 Sakurai, S., Hasegawa, H., Hashimoto, T. and Han, C.C., Polymer Comm., 31, 99 (1990).Google Scholar
7 Schutlz, G.V.Z., Phys. Chem., Abt. B, B43, 25 (1939).Google Scholar
8 Mori, K., Tanaka, H., Hasegawa, H. and Hashimoto, T., Polymer, 30, 1389 (1989).Google Scholar
9 Certain commercial materials and equipment are identified in this paper in order to adequately specify the experimental procedure. In no case does such identification imply recommendation or endorsement by the National Institute of Standards and Technology (NIST) nor does it imply it is necessarily the best available for the purpose.Google Scholar
10 Onuki, A., Phys. Rev. A, 38, 2192 (1988); A. Onuki, In Formation Dynamics and Statistics of Patterns, edited by K. Kawasaki (World Science Publishers, Teaneck, NJ, 1989), p. 321.Google Scholar
11 Briber, R.M. and Bauer, B.J., Macromolecules, 24(8), 1899 (1991).Google Scholar
12 Bastide, J., Leibler, L. and Prost, L., Macromolecules, 23, 1821 (1990).Google Scholar
13 Rabin, Y. and Onuki, A., Macromolecules, 27, 870 (1994).Google Scholar