Optimal alignment for maximizing the uniaxial modulus of 2D anisotropic random nanofiber networks
作者机构:Institute of Solid MechanicsBeihang UniversityBeijingChina School of Aeronautic Science and EngineeringBeihang UniversityBeijingChina
出 版 物:《International Journal of Smart and Nano Materials》 (国际智能和纳米材料杂志(英文))
年 卷 期:2023年第14卷第1期
页 面:122-138页
核心收录:
学科分类:07[理学] 070205[理学-凝聚态物理] 08[工学] 080501[工学-材料物理与化学] 0805[工学-材料科学与工程(可授工学、理学学位)] 0702[理学-物理学]
基 金:the National Natural Science Foundation of China the National Key Research and Development Program of China[2020YFB1313003] China Postdoctoral Science Foundation[2020M680288] National Postdoctoral Program for Innovative Talents[BX20200032]
主 题:Random nanofiber network nanofiber alignment uniaxial modulus stiffness threshold optimal design
摘 要:Nanofiber networks are effective structural forms to utilize the excellent nanoscale properties of nanofibers in macro *** tuning the anisotropic degree of fiber orientation distribution can maximize the macroscopic mechanical properties of random nanofiber networks in a specific ***,the reinforcing mechanism of the anisotropic orientation distribution to the elastic behavior has not been fully *** this paper,the effect of anisotropic orientation distribution of nanofibers on the elastic behavior of network is studied based on the modulus-density scaling relation and stiffness *** uniaxial modulus of network is determined by both the orientation angle of each fiber and interconnectivity of the random fiber *** the increase of anisotropic degree,the contribution of fiber orientation angle to the network modulus of the preferential direction increases and gradually tends to a constant,while the interconnectivity of the networks decreases,which may reduce the loadability of ***,at a given network density,the uniaxial modulus along the preferential direction first increases to a maximum value and then decreases with the increase of the anisotropic ***,an expression to predict the optimal anisotropic degrees corresponding to the maximum uniaxial moduli at different network densities is established.