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International Journal of Bioprinting                     In situ defect detection and feedback control with P-OCT



                         A                     B                       C












                         D                     E                       F














            Figure 7. The result of broken filament repair based on three-dimensional extrusion-based bioprinter-associated optical coherence tomography (3D
            P-OCT). (A) 3D P-OCT results of the single-layer printing structure before repair. (B) Layer thickness (LT) distribution of the single-layer printing
            structure before repair. (C) Frequency statistics histogram of LT in (B). (D) 3D P-OCT results of the single-layer printing structure after repair. (E) LT
            distribution of the single-layer printing structure after repair. (F) Frequency statistics histogram of LT in (E).

            3. Results                                         shows that the LT frequency result of zero is zero,
                                                               indicating that there was no broken filament after the
            3.1. Verification experiment of broken filament    repair. For  multilayer  constructs,  the  detection and
            repair
                                                               repair of broken filament defects were the same as those
            The broken filament can directly lead to low consistency   for single-layer constructs. During the printing process,
            between the printed construct and the design model,   3D  P-OCT  data  acquisition  and  LT  analysis  were
            and lower fidelity would, further, affect the structure and   performed for each layer to detect and locate broken
            functional characteristics. To verify the detection and repair   filament defects. For continuous broken filaments with
            mechanism for the broken filaments described above, single-  a length greater than the target FS, secondary printing is
            layer printing was applied with Hap broken filament detection   required to repair the broken filament. With the broken
            and location based on LT analysis. The 3D P-OCT result of   filament location, GCode instructions can be generated
            the single-layer printed structure is shown in Figure 7A, with   to guide the secondary printing for repair.
            the target FS (0.41 ± 0.10 mm) and LT (0.32 ± 0.10 mm).
            With the analysis methods of LT described in section 2.4.1,   3.2. Defect detection and feedback control of the
            the spatial distribution and frequency statistics histogram   large-size multi-layer construct
            of LT are shown in Figure 7B and C. Corresponding to the   With the above target material, target FS, and LT values,
            black line segment in Figure 7B, the LT values were zero at   a large multilayer construct was designed to verify the
            the broken filament with space coordinates from −1, 0, and   effectiveness of the defect detection and feedback control
            0.16 to 3.8, 0, and 0.16 and a length of 4.8 mm. Secondary   mechanism  with  3D  P-OCT.  The  3D  printed  model
            printing was applied for broken filament repair based on the   (15 mm [x] × 15 mm [y] × 3.3 mm [z]) was first designed
            spatial location of defect detection.              using CAD. Thereafter, the printing path was divided into
              The 3D P-OCT result of the single-layer printed   ten layers with a common lattice pattern, as shown in
            structure after broken filament repair is shown in   Figure 8A. HAp was used as the printing material, and a
            Figure 7D. The broken filament corresponding to the   nozzle with a 400-um inner diameter was selected. Based
            black line segment was repaired from the 2D distribution   on the GCode information and the target FS and LT values,
            of LT, as shown in  Figure 7E. At the same time, the   a 3D design model can be generated using the ellipse model,
            frequency statistics histogram of LT in  Figure 7F also   as shown in  Figure 8B. Without the “monitoring and


            Volume 9 Issue 1 (2023)                         56                      https://doi.org/10.18063/ijb.v9i1.624
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