Page 199 - Carbon Nanotube Fibres and Yarns
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Mechanics modeling of carbon nanotube yarns   189


              yarn strength should be proportional to the length of the staple fiber, the
              coefficient of static friction between staples, and the surface area of contact
              between them [85,86].
                 Vilatela et al. pointed out that the contact area between adjacent CNTs
              is determined by their degree of polygonization or collapse, which in turn
              depends on their diameter and number of layers. Therefore, larger diameter
              and thin-walled CNTs have a greater degree of contact, as determined by
              continuum elasticity theory, MM, and image analysis of transmission elec-
              tron micrographs. A direct experimental comparison study has also shown
              that the double-walled (or few-walled, i.e., two- to four-walled) CNT yarns
              exhibited the best mechanical properties [30]. The axial stress in the CNTs
              is built up by stress transfer between adjacent CNTs through shear and is
              thus proportional to CNT length, as supported by data in the literature for
              CNT fibers produced by different methods and research groups. A tensile
              strength of 3.54 N/tex was predicted for an aerogel-spun CNT yarn, and
              higher values (~5 N/tex) can be expected by more precise process con-
              trol and the possibility of post-processing operations to enhance the shear
              strength of the intertube contacts.


              8.2.4  Monte Carlo model
              There have been other theoretical models to exhibit the predominant
              mechanisms of yarn failure, including Daniels’ model [84] that treated the
              yarn as a bundle of parallel fibers and Hearle’s model [77] that included
              the effects of fiber length, twist angle, and fiber migration. Porwal et al.
              extended Daniels’ model and developed a Monte Carlo (MC) model to
              predict the statistical strength of a twisted yarn using a twist-modified equal
              load sharing rule [87]. Such model took into account the statistical distri-
              bution of fiber strength and simulated fiber break initiation and progression
              for a yarn under tension. Later, this model was adopted to predict the me-
              chanical strength of CNT yarns by designing the load sharing rule [88,89].
              These models usually simplify the interfacial interactions into a static fric-
              tion law that requires a transverse pressure on fibers to cause load transfer.
              However, there also exists inconsistency between the model prediction and
              experimental observation, especially the load-transfer capability is misde-
              scribed in the model as it always increases linearly when the overlap distance
              increases [90]. To solve this problem, Wei et al. suggested a new MC model
              for predicting the yarn mechanical properties [91].
                 Fig. 8.3 shows the schematics of a twisted yarn consisting of fibers in
              a hexagonal close-packing structure [91]. Here a fiber refers to a bundle
              consisting  of  60–100  CNTs,  and  the  axial  positions  of  individual  fibers
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