Page 465 - IJB-10-6
P. 465

International

                                                                         Journal of Bioprinting



                                        RESEARCH ARTICLE
                                        Deformation monitoring and stress distribution

                                        prediction of 3D-printed hydroxyapatite scaffolds



                                        Danyu Yao 1 id , Luge Zhang , Hong Liu , Ming Liu , Ling Wang *, and Mingen Xu *
                                                                                 2
                                                                        1
                                                                                                           1
                                                                                           1
                                                              1
                                        1 School of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, China
                                        2 Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences,
                                        Hangzhou, Zhejiang, China

                                        Abstract
                                        Hydroxyapatite (HAP) scaffolds created through biological three-dimensional (3D)
                                        printing have been extensively utilized in bone tissue engineering. However, clinical
                                        outcomes remain unsatisfactory. Stress-induced fractures are a primary cause of
                                        failure in clinical bone implant repairs. Finite element analysis (FEA) can predict
                                        stress distribution within scaffolds under load, aiding in the identification of stress
                                        concentrations. Nevertheless, limitations in the printing fidelity of bioinks lead to
                                        discrepancies between the printed scaffold structure and the theoretical design,
                                        resulting in inaccurate predictions.  This study introduced an effective approach
                                        for predicting the mechanical properties and internal stress distribution of printed
            *Corresponding authors:     scaffolds. HAP scaffolds with varying filling angles (90º, 60º, 45º) were constructed
            Ling Wang
            (lingw@hdu.edu.cn)          through 3D printing. These scaffolds were analyzed using a combination of optical
            Mingen Xu                   coherence tomography (P-OCT) scanning and micro-computed tomography (micro-
            (xumingen@hdu.edu.cn)       CT) imaging, integrated with FEA, to enhance the accuracy of stress distribution
                                        predictions. The findings demonstrated that the mechanical strength of scaffolds
            Citation: Yao D, Zhang L,
            Liu H, Liu M, Wang L, Xu M.   predicted by the reconstructed model was closer to experimental values compared
            Deformation monitoring and stress   to  predictions  made  by  commonly  used  theoretical  models  (improved  from
            distribution prediction of 3D-printed   55%  to  78%).  During  actual  testing,  stress  concentration  sites  predicted  by  the
            hydroxyapatite scaffolds.
            Int J Bioprint. 2024;10(6):4460.    reconstructed model were the first to exhibit fragmentation, validating the accuracy
            doi: 10.36922/ijb.4460      of stress distribution predictions. Moreover, scaffolds printed at different infill angles
            Received: August 6, 2024    displayed varying degrees of distortion. Scaffolds printed at a 90º angle displayed the
            1st revised: September 3, 2024  highest fidelity with the fewest defects, and their stress distributions under different
            2nd revised: September 18, 2024  conditions were well-correlated. The method proposed in this study facilitates more
            Accepted: September 26, 2024
            Published Online: September 26,   accurate prediction and evaluation of scaffold performance early in development,
            2024                        enabling the selection of scaffolds with suitable mechanical properties, thereby
            Copyright: © 2024 Author(s).   reducing testing cycles and improving safety in bone defect repair.
            This is an Open Access article
            distributed under the terms of the
            Creative Commons Attribution   Keywords: Deformation monitoring; Stress distribution prediction;
            License, permitting distribution,   Finite element analysis; 3D printed scaffold; Bone repair
            and reproduction in any medium,
            provided the original work is
            properly cited.
            Publisher’s Note: AccScience
            Publishing remains neutral with   1. Introduction
            regard to jurisdictional claims in
            published maps and institutional   Bone defects, resulting from tumor resection, congenital malformations, sports injuries, or
                                                                                1
            affiliations.               infections, often lead to significant loss of function.  The regeneration and reconstruction



            Volume 10 Issue 6 (2024)                       457                                doi: 10.36922/ijb.4460
   460   461   462   463   464   465   466   467   468   469   470