Michalke, W. and Kreitmeier, Stefan and Lang, M. and Buchner, A. and Goeritz, Dietmar (2001) Monte Carlo simulations of the spatial structure of end-linked bimodal polymer networks: part II. COMPUTATIONAL AND THEORETICAL POLYMER SCIENCE, 11 (6). pp. 459-466. ISSN 1089-3156
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The article presents the results of Monte Carlo simulations of bimodal networks performed with the Bond-Fluctuation-Algorithm. First the sol-fractions of networks with different ratios of short chains were studied and found to be always less than 2%. Concerning clustering behaviour, we saw that while random networks always form a main cluster containing more than 95% of all chains, simulated networks with less than 80% short chains do not form a main cluster. The density profiles during the swelling process show that clustering is reflected in a lower swelling degree and a sharper transition zone between the inner part and the boundary regions of the network. Finally, comparing the density distributions of crosslinkers of unimodal and bimodal networks, we found that all unimodal networks have a more ordered structure in their interior than in the melt. On the other hand, bimodal networks, where the ratio between long and short chains leads to equal masses of the fractions, show a superposition of two separate density distribution peaks, leading to a broader distribution than the Gaussian distribution found for a melt. (C) 2001 Elsevier Science Ltd. All rights reserved.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | POLYDIMETHYLSILOXANE CHAINS; MECHANICAL-PROPERTIES; LIGHT-SCATTERING; MOLECULAR-MODEL; ELASTICITY; POLY(DIMETHYLSILOXANE); ELASTOMERS; SWOLLEN; STATE; bimodal networks; Gaussian distribution; Monte Carlo simulation |
| Subjects: | 500 Science > 530 Physics |
| Divisions: | Physics > Institute of Experimental and Applied Physics > Alumni or Retired Professors > Group Dietmar Göritz |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 28 Feb 2022 07:43 |
| Last Modified: | 28 Feb 2022 07:43 |
| URI: | https://pred.uni-regensburg.de/id/eprint/41843 |
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