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190   Carbon Nanotube Fibers and Yarns





















          Fig. 8.3  Schematics of idealized yarns depicting (left to right): the cross-sectional view
          of the yarn model, randomly distributed fibers, and a fiber discretized by 1D elements.
          (Top) hierarchical structure of a 3D ideally twisted yarn, and (bottom) yarn hierarchy in
          the MC model. (Reproduced with permission from X. Wei, M. Ford, R.A. Soler-Crespo, H.D.
          Espinosa, A new Monte Carlo model for predicting the mechanical properties of fibre yarns.
          J. Mech. Phys. Solids 84 (2015) 325–335.)

          were randomly distributed to account for a random distribution of overlap
          lengths. Each fiber is discretized into a series of 1D elements along the fiber
          axis. Differing from the previous models [87–89], Wei et al. implemented
          an algorithm to discriminate “effective” and “ineffective” contacts between
          two adjacent fibers. For an “effective” contact, the elastic solution for a shear
          lag model was used to calculate the maximum tensile stress distribution in
          each fiber. If one end of a fiber lies between the two ends of the adjacent
          fiber, the contact is defined as “effective,” meaning that load can be effec-
          tively transferred between the two adjacent fibers through their interface,
          e.g., between fibers 1 and 2 in Fig. 8.3. Otherwise, if a fiber is shorter than
          the adjacent fiber, and both ends of the first fiber are completely enclosed
          by the adjacent fiber, e.g., between fibers 1 and 3 in Fig. 8.3, the contact
          is “ineffective.” The load transfer through an “ineffective” contact can be
          neglected, thus the total area of the “effective” contacts is key for predict-
          ing the yarn strength. In a poor assembly, a reduced number of nearest-
          neighbor fibers leads to a reduction in the load-bearing capacity. Therefore
          a micro-porosity can be introduced by using a factor of (1 − p) for a yarn
          with porosity p. Besides this contact definition, there are also other factors
          to be included in the model. For example, a random strength value can be
          assigned to describe the variation in fiber strength and define the initiation
          and progression of fiber fragmentation.
             Based on this model, CNT yarns consisting of double- and multi-
          walled tubes were  investigated. First, Weibull  analysis on double-walled
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