An Effective Modulus Predictive Method of POSS Reinforced Resin Matrix Composites
Huazhen Wei, Danyong Wang, Juncong Liu, Yiwei Chen, Shuhu Li
Available Online April 2017.
- https://doi.org/10.2991/amsce-17.2017.2How to use a DOI?
- posst; composites; predictive method
- Compatibility between POSS and polymer was the key element of effecting whether POSS as nanofillers could improve mechanical properties of polymer. Based on really materials and applied manufacturing process, a new kind of an effective modulus predictive method for POSS reinforced resin matrix composites which could compute and analyze modulus of any content ratio of POSS in composites with only one content ratio was built in order to provide theoretical foundations for design and property of POSS/resin composites. According to practically different materials system and corresponding manufacturing processes, few experiments which only needed elastic modulus of one random content-ratio POSS/resin composites were made to predict effective elastic modulus of any other content ratio of POSS/resin composites under the same manufacturing processes by obtaining experimental constants based on numerical progressive iterative approximation method and compute the above experimental constants as basic materials parameters so as to build the whole analysis model in the next step. An excellent agreement was found between data obtained from this study and the experiment.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Huazhen Wei AU - Danyong Wang AU - Juncong Liu AU - Yiwei Chen AU - Shuhu Li PY - 2017/04 DA - 2017/04 TI - An Effective Modulus Predictive Method of POSS Reinforced Resin Matrix Composites PB - Atlantis Press SP - 5 EP - 8 SN - 2352-5401 UR - https://doi.org/10.2991/amsce-17.2017.2 DO - https://doi.org/10.2991/amsce-17.2017.2 ID - Wei2017/04 ER -