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Proceedings of the International Conference on Digital Manufacturing –
                                         Volume 1

               variation,  this research aims to provide  insights into how
               geometric design can  influence  the degradation kinetics  and
               biochemical microenvironment, ultimately informing future
               strategies for bone scaffold development.

                  Moreover, understanding the degradation behaviour of FDM-
               printed PLA structures not only informs scaffold design for bone
               regeneration,  but also provides a foundational framework for
               broader applications involving other bioresorbable polymers, such
               as polycaprolactone (PCL). Despite showing distinct mechanical
               and degradation profiles, PCL shares similar fabrication pathways
               and insights gained from PLA studies can guide the optimisation
               of future scaffold designs that integrate degradation control with
               cellular performance enhancements.


               MATERIALS AND METHODS

               Sample Preparation

               PLA filaments, with 1.75 mm diameter were used for 3D printing
               the bone scaffold samples in this study. The models were designed
               using computer-aided design (CAD) software in three different
               geometries—Cube (ASTM D695), Dogbone (ASTM D638) and
               Rectangular Bar (ASTM D790) [10]—to examine the degradation
               behaviour  of PLA with different sample geometries. These
               geometries were selected based on standardised testing methods
               to enable subsequent evaluation of different mechanical properties
               relevant to bone scaffold applications: compressive strength
               (Cube), tensile strength (Dogbone) and flexural strength (Bar).
               This design strategy allows for a comprehensive understanding on
               how PLA performs mechanically over time as it degrades in a
               simulated physiological environment.

                  The slicing process was  conducted using slicing software,
               where key printing parameters were carefully optimised to ensure
               dimensional accuracy and structural consistency. The printing
               parameters included a 100% infill density with a rectilinear infill
               pattern, a layer thickness of 0.2 mm, a printing speed of 90 mm/s,




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