Over the years, the properties of nanoparticle-reinforced composites have been investigated regarding how the overall mechanical properties of the composites can be influenced by weight percentages, particle size, and types of reinforcement. The current advanced material processing technology allows people to obtain customized materials. However, making composite materials is usually costly and time-demanding, and some composite waste does not easily degrade. This computational study on composites provides a promising solution to these problems. In this research, a methodology of studying nanoparticle-reinforced polymer composites is developed, which allows the simulation of mechanical properties with multiscale computational approach. First, an RVE model of general nanoparticle-reinforced composites is constructed at nanoscale, and a computational study is made to examine the tensile behavior of the RVE on LS-DYNA. Second, a sensitivity study is conducted to optimize the mesh size with regards to simulation accuracy and computational time. Also, the model is validated by comparing the results from simulation with published data. Third, RVE models are applied to develop multiple models at microscale featured with various nanoparticles reinforcement dosages and orientation. In the end, data from tensile experiments on VGCNF are utilized to verify the models. It is found that using RVE models shortened the simulation times significantly while maintaining relatively high accuracy. Also, those models can be extensively applied to simulate various nanocomposites at multiple scales, which will fill the gap of simulation at between nanoscale and microscale.
|Commitee:||Khattak, Mohammad Jamal, Yin, Peng, Zhang, Pengfei|
|School:||University of Louisiana at Lafayette|
|School Location:||United States -- Louisiana|
|Source:||MAI 58/05M(E), Masters Abstracts International|
|Subjects:||Engineering, Mechanical engineering|
|Keywords:||Composites, LS-DYNA, Multi-scale modeling, Nanoparticles|
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