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Geometric Accuracy of 3D Printed Dental Implant
           perform  a  segmentation  of the  same  tooth  three  times   in previous sections was carried out using a SLM 280
           and the average of the three parameters was used as the   HL machine from SLM Solutions  AG, Germany.  The
           standard.                                           machine was equipped with a Gaussian beam fiber laser
               3D Shape Convince software was used to evaluate   with maximum power of 400 W and a focal diameter of
           the accuracy of the segmentation and printing process.   80 μm. All processing occurred in an argon environment
           The  extracted  tooth  and 3D printed  dental  implant   with <0.05% oxygen to prevent oxidation and degradation
           were scanned using a micro-CT and converted into an   of the material during the process. The material used was
           STL format.  This was compared  against  the  original   commercially  pure titanium  powder (Grade  2  ASTM
           STL file that was used to print the dental implant. The   B348, LPW  Technology  Ltd, United  Kingdom),  The
           overall accuracy  of both processes was evaluated  by   powder was spherical in shape and had particle size with
           aligning the two STL models using the software’s best fit   average  of 43.5  μm.  The  processing parameters  used
           algorithm, then comparing the percentage of the surface   are  summarised in  Table  1. A  stripe  scanning  strategy
           area that deviates within a +0.1 mm tolerance limit. For   was used with stripe width 10.0 mm. A schematic of the
           the  segmentation  process, the original  segmented  STL   scanning pattern is shown in Figure 2.
           was compared against the actual tooth model. For the    To ensure that the geometry of the fabrication
           L-PBF process, the printed tooth was compared against   samples was not due to the L-PBF process, preliminary
           the original  STL.  The overall accuracy  of the entire   studies were carried out to obtain the correction factor for
           fabrication  process was evaluated  by comparing  the   the L-PBF process. In these preliminary studies, cones
           printed tooth to the actual tooth (n = 8 as only 8 teeth   with dimensions 4 mm × 5 mm × 8 mm were fabricated.
           were extracted from the tooth socket).              The  schematic of the samples fabricated is shown  in
                                                               Figure  3.  The results are tabulated  in  Table  2. The
           2.4. L-PBF fabrication                              correction factor with least deviations (0.996) is applied
                                                               for the fabrication of the specimens.
           In this  study, the  fabrication  of actual  samples  using
           STL  files  obtained  from  the  segmentation  described   3. Results

                                                               The  3D printed dental  implant  was fabricated  based
           A                                 B                 on the STL files obtained from the segmentation of the
                                                               monkey incisor from its maxilla, then compared against
                                                               the  extracted  tooth (Figure  4).  The  3D printed  dental
                                                               implant  measured  approximately  1  cm  along  its  entire
                                                               length.
                                                                   Overall,  our  findings  showed  that  the  fabrication
                                                               process produced  a 3D printed  dental  implant  that
                                                               achieved 68.70% ± 5.63 (n = 8) accuracy compared to the
           C                               D                   actual tooth. This implant fabrication was based on the
                                                               3D segmented tooth model that had a relatively similar
                                                               level of accuracy of 66.91% ± 10.51 (n = 14) during the
                                                               segmentation  process (Table  3 and  Table S1). It was
                                                               noted that the main regions of inaccuracies were at the
                                                               tooth apex (blue colored zones) (Figure 5).
                                                                   The L-PBF process had a 90.59% ± 4.75 accuracy
                                                               (n = 8) (Table 3). The deviation between the RAI and the


                                                               Table  1.  Process parameters  used in  L-PBF for fabrication  of
                                                               samples
                                                               Process parameters
                                                                Laser power (W)                           275
                                                                Laser scan speed (mm/s)                   1100
           Figure 1. Segmentation of dental implant from a tooth model of   Layer thickness (μm)           30
           the maxilla. (A) Segmentation of tooth along the cementoenamel   Hatch spacing (mm)           0.120
           junction (CEJ) based on the computed tomography scan (yellow   Fill Contour Offset (mm)        0.06
           outlined area). (B) Outline of CEJ on tooth model. (C) Plane of
           segmentation (represented by green line) 1.0 mm above the CEJ.   Boarders (mm)                 0.09
           (D) Model of segmented dental implant.               Remelting                                 No

           68                          International Journal of Bioprinting (2022)–Volume 8, Issue 1
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