Multiscale Modeling Approach for Prediction the Elastic Modulus of Percolated Cellulose Nanocrystal CNC Network

In this study the effective elastic modulus of cellulose nano crystal CNC network is evaluated using multi scale method and micro mechanical analysis. For this purpose, the elastic modulus of CNC water phases are randomly assigned to a two dimensional 2D checkerboard structure and the elastic response is evaluated. In addition, the effect of having a different number of phases CNC, water and interface is evaluated by assigning a discreet and continuous distribution of elastic modulus to checkerboard structure. When the number of phases increases dramatically, the distribution of phases is continuous and is defined with Wei bull distribution. The results show that for two phase materials CNC and water when the micro structure has organized pattern the rule of the mixture and numerical model provide the same effective modulus, however when the micro structure is completely random, the self consistent micro mechanical model should be used. Also, this study suggests 50 volume fraction as the percolation threshold for the CNC network with 10 GPa effective elastic modulus. The results from percolated multi phase network reveal that for micro structures with 4 phases and above, the percolated network converge to 35 GPa. 

by Mehrdad Bor | Jim Huang "Multiscale Modeling Approach for Prediction the Elastic Modulus of Percolated Cellulose Nanocrystal (CNC) Network"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019,

URL: https://www.ijtsrd.com/papers/ijtsrd26553.pdf 

Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/26553/multiscale-modeling-approach-for-prediction-the-elastic-modulus-of-percolated-cellulose-nanocrystal-cnc-network/mehrdad-bor

call for paper Geological Engineering, international journal Gas Engineering, ugc approved journals for engineering