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International Journal of Bioprinting                Simulation-based comparative analysis of nozzles for bioprinting



            15 kPa that we used, as the inlet pressure. Since lower inlet   imperfections, such as fabrication failures or surface finish,
            pressure means lower volumetric flow and lower shear   of the actual nozzle or conical tip. In particular, the frame
            stress, the results presented in the work by Liu et al. are not   showing the drop at t = 100% for the experimental test of
            directly comparable to ours for the same reasons.  the Nozzle shows an extruded strand that is not perfectly
                                                               vertical despite that the Nozzle was perfectly positioned.
            3.4. Experimental tests                            This deviation might be caused by a possible fabrication
            The experimental test was performed to analyze the   failure of the inner geometry of the Nozzle that cannot be
            strand during the first drop formation. Since drops are   easily observed.
            formed at different time for the Cone and Nozzle in the
            pneumatic  μ-extrusion processes, measurement times   Looking at the average errors and the results obtained
                                                                          [47]
            were established at 25, 50, 75, and 100% of the time needed   by Liravi et al. , it can be concluded that our simulations
            to generate the drop. Exact times are given in Table 1.  recreate the geometry of the extruded strand with an
                                                               acceptable error. Additionally, Liravi et al.  concluded that
                                                                                               [47]
               The measurement results as well as the relative error   if the external geometry of the extruded bioink is similar
            between measurements can be seen in Table 2.       to the experimental tests, assuming the errors, the model
               All relative errors are similar to the results obtained by   can predict the falling drop and the suitable combination
            Liravi et al. . Additionally, relative errors from Table 2   of inner parameters. With this in mind, values of pressure,
                     [47]
            show a similar evolution along time for Cone and Nozzle.   velocity and shear stress obtained in the simulation would
            Specifically, height error increases from 6% to 21% and   be similar to the actual values, which are difficult to be
            from 3% to 27% for Cone and Nozzle, respectively. The   experimentally  measured  without  modifying  the  actual
            width error trend is exactly the opposite one, as error   flow and therefore the value itself.
            decreases when the time increases. It might be expected   According to the experimental errors, our results can
            that simplifications assumed for these simulations are the   be regarded as an approximation of the real values of
            main cause of these errors.                        a material using a new geometry of the extruder head.

               Figure 9 shows the frames and simulation images of the   Thus, our simulations can guarantee acceptable and
            previous measurement times for both geometries. In the   similar bioprinting inner parameters values with less
            experimental frames, an initial accumulation of material is   computational cost than the required for more precise and
            produced both in the Cone and Nozzle, which is provoked   complex simulations.
            by a rolling up of the bioink when extrusion starts.    However, the 2D axis-symmetrical approximation
            This real behavior is not simulated because the current   might be insufficient to obtain more precise values of these
            simplified geometry does not include any manufacturing   studied inner parameters. This approximation simplifies
                                                               the geometry assuming that the material behavior is
                                                               equal in its revolution. Taking this into account, further
            Table 1. Measurement times for each geometry in the   modifications in the simulations and the rheological data
            pneumatic simulations                              of the bioink might be necessary to reduce the error. Taking

                            Cone (s)       Nozzle (s)          this into account, it would be necessary to comparatively
             t = 25%        1.715          0.145               study the current simulations and more complex ones.
             t = 50%        3.430          0.293               This way we can assure that the error in the simplified
                                                               simulations is acceptable and they can be used in future
             t = 75%        5.145          0.439               works when modifications in the geometry and/or the
             t = 100%       6.860          0.586               material rheological data are requested.

            Table 2. Experimental (Exp) and simulation (Sim) average measurements of maximum height (h) and width (w) in millimeters with
            the relative error (Err) (%) of the extruded strand in pneumatic simulations

                            Cone Exp     Cone Sim      Cone Err      Nozzle Exp    Nozzle Sim   Nozzle Err
                            h, w (mm)    h, w (mm)     h, w (%)      h, w (mm)     h, w (mm)    h, w (%)
             t = 25%         3.32, 0.67   3.52, 0.60    5.99, 10.53   3.47, 0.87    3.36, 0.72   3.01, 17.26
             t = 50%         7.59, 0.64   6.53, 0.62   14.00, 3.33    7.29, 0.82    6.35, 0.74   12.80, 9.62
             t = 75%        13.35, 0.66   10.34, 0.65  22.53, 2.67   11.92, 0.81    9.67, 0.73   18.86, 9.87
             t = 100%       24.86, 0.70   19.68, 0.68  20.85, 2.29   20.44, 0.79   14.84, 0.72   27.42, 7.32
             Average error   –             –           12.85, 4.70     –            –            15.52, 11.02


            Volume 9 Issue 4 (2023)                        218                         https://doi.org/10.18063/ijb.730
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