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International Journal of Bioprinting                                 Fluid mechanics of extrusion bioprinting




            Table 3. Commonly used mathematical models to describe the time-independent flow behavior of bioinks 80–85
             Model         Equation                     Parameters                    Description
                                  n −1                                              n < 1: shear-thinning
             Power-law     τ =  Kγγ i    γ   i       K: consistency coefficient    n = 1: Newtonian
                               

                                                        n: power-law index
                                                                                    n > 1: shear-thickening
                                            n −1        k: a time constant
                              −
                            ηη           2   2        n: power-law exponent         η  and η  values are obtained from
                                                                                       0
                                                                                           ∞
             Carreau            ∞  = 1 + kγγ i                                      flow behavior at very low and high
                           η − η ∞                  η : limiting zero-shear viscosity  shear rates
                                                         0
                             0
                                                        η : limiting infinite-shear viscosity
                                                         ∞
                                            n −1        k, n, η , η : similar to Carreau model
                                                              ∞
                                                            0
                            ηη           α   α        α: a dimensionless parameter characterizing   η  and η  are the same as Carreau
                              −
                                                                                           ∞
                                                                                       0
             Carreau-Yasuda     ∞  = 1 + kγγ i                                      model
                           η − η ∞                  the transition between the zero-shear-rate   α is obtained from flow curve
                                                        and power-law regions in flow curve
                             0
                              −
                            ηη         1
             Cross              ∞  =     n              K: consistency coefficient    η  is the same as Carreau model
                                                                                       0
                           η − η ∞  1 + kγγ i           n: power-law index            η  is usually negligible
                                                                                       ∞
                             0
                                      n −1            K: consistency coefficient
             Herschel-Bulkley  τ − τ =  Kγγ i   γ   i  n: power-law index          With n = 1, it changes to Bingham
                                   
                                0
                                                      τ : yield stress              plastic model
                                                         0
            shear rate simulates the breakdown of the fluid structure   and shape fidelity via rapid gelation, facilitated by the
            under high shear inside the nozzle, and the third interval   temperature difference between  the printing  head and
            with a low shear rate reflects the structural recovery after   stage. The recovery rate of biomaterials also affects the
            hydrogel extrusion (Figure 6D).                    structural integrity of the printed scaffold during the
               Although time-independent shear-thinning behavior   layer-by-layer deposition process. Hydrogels that rapidly
            is an essential requirement for a bioink, the viscosity   develop self-supporting capacity can withstand the
            recovery test can provide a more realistic idea of whether   weight of the upper layers, preventing the deformation
                                                                                                            50
            a bioink is suitable for bioprinting or not. This test helps   and collapse of the scaffold during or after printing.
            researchers predict the bioink’s printability and determine   Filaments with good shape fidelity can be achieved
            if it requires additional crosslinking is needed to improve   by bioinks that exhibit higher viscosity at lower shear
                                                                                                            96
            the recovery rate after deposition. For instance, Paxton   rates and a greater post-printing recovery rate.
                                   92
            et  al.’s comparative analysis  on viscosity recovery for   Conversely, the time-dependence of viscosity can lead to
            Poloxamer 407 and alginate indicated that 25% and 30%   inhomogeneity in a printed filament. 97
            Poloxamer 407 biomaterials have a rapid recovery, and they   3.3. Viscoelastic behavior
            exhibit  good  printability  and  shape  fidelity.  In  contrast,   Viscoelastic materials exhibit both elastic and viscous
            15% Poloxamer 407 was not printable because of its slow   characteristics when subjected to flow or deformation.
            viscosity recovery. Their tests also indicated that the slow   Rheological studies documented in the literature have
            recovery of 8% alginate solution can be addressed by pre-
            crosslinking, which improved the viscosity recovery rate.   confirmed that bioinks and polymer melts used in extrusion
                                                                                              36,98
            The three-point thixotropy test of alginate-carboxymethyl   bioprinting are viscoelastic materials.   Therefore, they
            cellulose (CMC) composite biomaterials by Tuladhar   possess both energy-damping properties and the capacity
            et al.  revealed that solutions with 25% alginate and 75%   to store strain energy. These materials dissipate energy
                93
            CMC, as well as those with 50% alginate and 50% CMC,   during loading and unloading, resulting in a hysteresis
            have a good viscosity recovery rate and shape fidelity   loop in the stress–strain rate curve, which represents the
            after printing.                                    energy lost during cyclic loading.
               Diañez et  al.  and Herrada-Manchón et  al. 95   3.3.1. Dynamic moduli of a viscoelastic fluid
                           94
            successfully printed biomaterials with slow viscosity   The dynamic moduli of storage modulus (Gʹ) and the loss
            recovery by  incorporating  thermal  gelation  or  in   modulus (G˝) are typically used to represent viscoelastic
            situ rapid crosslinking during the printing process.   properties. These moduli are commonly examined
            Thermosensitive biomaterials improve printability   through small-amplitude- oscillatory-sweep (SAOS) tests
            Volume 10 Issue 6 (2024)                       127                                doi: 10.36922/ijb.3973
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