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Published on: September 26, 2016
Heterogeneous Polymer Dynamics Explored Using Static 1H NMR Spectra
Todd M Alam1, Joshua P Allers1, Brad H Jones1
1Department of Organic Materials Science, Sandia National Laboratories, Albuquerque, NM 87185, USA.
Static solid-state 1H NMR spectroscopy reveals dynamic heterogeneities in thermoset polymers. This method quantifies activation energies, aiding in understanding polymer curing and dynamics near the glass transition temperature (Tg).
Area of Science:
- Polymer Science
- Materials Science
- Spectroscopy
Background:
- Thermoset polymers can achieve full cure below their glass transition temperature (Tg) due to dynamic and chemical heterogeneities.
- Nuclear Magnetic Resonance (NMR) spectroscopy is crucial for understanding molecular dynamics in polymers.
Purpose of the Study:
- To utilize static solid-state 1H NMR spectroscopy to measure chain dynamics activation as a function of temperature.
- To explore the impact of activation energy and correlation time distributions on 1H NMR M2 analyses.
- To demonstrate the measurement of dynamic activation energy distributions from M2 temperature behavior.
Main Methods:
- Static solid-state 1H NMR spectroscopy was employed.
- The NMR line shape second moment (M2) was analyzed as a function of temperature.
- Normalized reference curves were used to analyze M2 temperature variations.
- Dynamic heterogeneity in thermosetting polymers was systematically varied.
Main Results:
- Increasing polymer segmental chain fluctuations near Tg cause dynamic averaging of proton-proton dipolar couplings, reducing M2.
- Distributions in dynamic correlation times are common in polymer systems.
- The study demonstrates that distributions in dynamic activation energies can be quantified from M2 temperature dependence.
- An example analysis for thermosetting polymers with varied dynamic heterogeneity is presented.
Conclusions:
- Static solid-state 1H NMR spectroscopy is effective for probing chain dynamics and activation energies in polymers.
- The M2 temperature behavior provides insights into dynamic heterogeneity and activation energy distributions.
- This approach offers a method to understand curing processes and material properties in thermosets.
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