PARAMETER OPTIMISATION FOR EFFICIENT 3D PRINTING OF BIOMODELS

Pavel – Mihai NIȚUICĂ, Alexandru – Ionuț NICOLESCU, Vlad – Cristian ENACHE, Angela – Miruna NEACȘU-PAVEL, Cristian – Vasile DOICIN

Abstract


Additive manufacturing, particularly in the medical field, has witnessed remarkable advancements, with 3D printing enabling precise patient-specific biomodels and prosthetic implants. To address the pressing need for parameter optimization in 3D printing, this study investigates the influence of support structure density, support pattern, and material choice on critical factors including printing time, material consumption, and cost. Utilizing three distinct skull biomodels representing diverse anatomies, our research highlights the pivotal role of these parameters in achieving cost-effective and high-quality results. Notably, ABS emerges as the most cost-efficient material, and support pattern selection significantly impacts costs. These findings provide essential insights for informed parameter optimization in medical 3D printing, ensuring efficient and economically viable production of patient-specific biomodels.


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References


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