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Disentangling High Strength Copolymer Aramid Fibers to Enable the Determination of Their Mechanical Properties
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Uncertainty Quantification for Mechanical Properties of Polyethylene Based on Fully Atomistic Model.
Nam Vu-Bac1, X Zhuang2, T Rabczuk3,4
1Cluster of Excellence PhoenixD (Photonics, Optics, and Engineering-Innovation Across Disciplines), 30167 Hannover, Germany. vubacnam@gmail.com.
Materials (Basel, Switzerland)
|November 7, 2019
Summary
Temperature significantly impacts amorphous polyethylene
Area of Science:
- Polymer Science
- Materials Science
- Computational Materials Science
Background:
- Amorphous polyethylene (PE) mechanical properties are crucial for various applications.
- Understanding the influence of external factors like temperature and strain rate is essential for material design.
- Atomistic simulations provide a powerful tool for investigating material behavior at the molecular level.
Purpose of the Study:
- To investigate the effects of temperature and strain rate on the mechanical properties of amorphous polyethylene.
- To develop a constitutive model for amorphous polyethylene using molecular dynamics simulation data.
- To identify the key parameters governing the mechanical response of amorphous polyethylene.
Main Methods:
- Fully atomistic molecular dynamics (MD) simulations were performed on amorphous polyethylene.
- A stochastic constitutive model was constructed based on the MD simulation results.
- Global sensitivity analysis was employed to determine the influence of different parameters on the mechanical model.
Main Results:
- Temperature was identified as the most influential parameter on Young's modulus and yield stress.
- Strain rate was found to be the second most significant factor affecting mechanical properties.
- The developed constitutive model effectively captured the material's response under varying conditions.
Conclusions:
- Temperature plays a dominant role in determining the mechanical properties of amorphous polyethylene.
- Strain rate also significantly influences the material's behavior, but to a lesser extent than temperature.
- This study provides valuable insights for predicting and optimizing the performance of polyethylene-based materials.
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