Applications of Polymer Nanofibers. Группа авторов

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field lines concentrate toward the knife‐edge and the jet tends to follow the direction of the electric field. As the disk rotates (~1000 rpm), the fibers wind continuously along the knife‐edge with a pitch of 1–2 μm (Ramakrishna 2005). To improve the alignment, the fibers must be collected before the onset of the whipping instability. Auxiliary electrodes can be used to suppress the whipping instability (Carnell et al. 2008). Alternatively, using solvents with low dielectric constants and high purity can suppress the whipping instability (Ogata et al. 2007). Practically, the highly aligned fibers are achieved for a short period of time ~ minutes after which alignment decreases, which may be attributed to fiber repulsion due to charge accumulation. Therefore, for complex patterns, mechanical drawing techniques that avoid the electric field and whipping stability are preferable (Nain and Wang 2013).

      Nanofiber yarns have also been of interest. To produce yarns, electrospun nanofibers can be deposited on water. As the nanofibers are lifted off the water, the surface of tension bundles the fibers into a yarn. Collecting on water flowing in the form of a vortex is a means to achieving continuous yarn production. The disadvantage of this approach is that the yarn must then be dried. Self‐bundling nanofibers have been achieved using AC power. The jet splits and contains both negative and positive segments which bundle together midflight. Twisting the fibers can improve yarn strength. Such twisting can be achieved by collecting on two parallel ring electrodes and rotating one of the rings. Although simple, the length of the yarn is limited using this approach (Abbasipour and Khajavi 2013).

      1.4.1 Polymer Solution Properties (Molecular Weight, Concentration, Viscosity, and Elasticity)

      The effect of polymer solution properties is generally more significant than process and setup parameters on electrospinning and the resultant fibers. The solution properties, namely viscosity and viscoelasticity, surface tension, and conductivity are affected by the polymer, solvent(s), and additives (e.g. salts, surfactants).

      Although the electrospinning process is relatively easy to implement on a lab scale, many polymer solutions do not form uniform fibers. Issues electrospinning uniform fibers arise when the polymer solution is too dilute and is limited by polymer solubility or when the polymer chains are short or rigid. Electrospinning new materials is typically done ad hoc varying solution properties and process variables; there are no generalizable approaches to predict if a polymer/solvent system will form nanofibers when electrospun. Significant efforts have yielded useful semiempirical approaches for predicting electrospinnability, i.e. production uniform fibers.

Schematic illustration of specific viscosity as a function of polymer concentration to determine entanglement concentration for PEO of various molecular weights.

      Source: Image of beaded fibers is reprinted from Fong et al. (1999). Copyright (1999), with permission from Elsevier.

      To quantify the degree of entanglement required to achieve uniform fibers, semiempirical relationships have been used (Shenoy et al. 2005; McKee et al. 2004, 2006). The entanglement concentration can be determined by measuring the viscosity (zero‐shear) as a function of polymer concentration and examining the scaling relationship between the specific viscosity and concentration. Note that the specific viscosity (ηsp) accounts for the viscosity of the solvent

      (1.9)equation

      The entanglement concentration can also be used to predict nanofiber diameter based on polymer concentration. A master curve for fiber diameter (df) as a function of concentration φ can be constructed as follows:

      (1.10)equation

      where df,e is the diameter of the fibers electrospun at the entanglement concentration φe. This result agrees well with the theoretical scaling of 2.3 (Wang et al. 2016). Long and coworkers showed comparable results with multiple polymers including linear, randomly branched, highly branched, and star polymers (McKee et al. 2004). This approach, which considers polymer concentration, viscosity, and polymer molecular weight (because the entanglement concentration decreases as polymer molecular weight increases), is convenient (Andrady 2008). Due to the high deformation rates, the entangled polymer solutions behave like elastic swollen gels. The rapid stretching of the gel has recently been considered the main mechanism of fiber formation. These results imply that the elasticity of the entangled polymer solution rather than the viscosity influences the final fiber diameter (Wang et al. 2016).

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