@Article{icces.2023.09926,
AUTHOR = {Shuaijun Wang, Wenqiong Tu},
TITLE = {Characterization of Mechanical Properties of CNFs and the Assembled  Microfibers Through a Multi-scale Optimization-Based Inversion Method},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {25},
YEAR = {2023},
NUMBER = {2},
PAGES = {1--1},
URL = {http://www.techscience.com/icces/v25n2/53827},
ISSN = {1933-2815},
ABSTRACT = {Cellulose nanofibrils (CNFs) and the continuously assembled microfibers have shown transversely isotropic 
behavior in many studies. Due to fact that the size of CNFs and the assembled microfibers is at the nano and 
micro scale, respectively, the characterization of their mechanical properties is extremely challenge. That 
greatly hinders the accurate multi-scale modeling and design of CNFs-based materials. In our study, we have 
characterized the elastic constants of both CNFs microfibers and CNFs through a Multi-scale Optimization 
Inversion technology. Through the tensile test of CNFs microfibers reinforced resin with different volume 
fractions and the micromechanics model of microfibers reinforced resin, the elastic properties of CNFs 
microfiber can be backed out via the Particle Swarm Optimization (PSO) method. Next, the mechanical 
properties of CNFs at the nano scale are derived based on the previously obtained properties of CNFs 
microfibers and micromechanics model of CNFs fibers via a second-time optimization-based inversion 
process. These results provide a foundation for an accurate multi-scale modeling and design of CNFs-based 
materials and structures.},
DOI = {10.32604/icces.2023.09926}
}