The paper proposes a study regarding the influence of support structure parameters on customer targets for 3D printed bespoke health monitoring devices, specifically a wrist casing. The evolution of additive manufacturing for personalized medical devices needs a comprehensive understanding of the support structure parameters in respect to the anthropomorphic designs of these products. This study investigates how these specific parameters influence vital customer targets, which include time efficiency, cost optimization, surface roughness, fit, and overall patient compliance. Diverse configurations of the support parameters are analyzed, employing a methodology based on experimental evaluations. Overhang angle is found to directly correlate with print time and surface roughness, while support density exhibits a marked influence on cost implications and dimensional accuracy. Notably, variations in support pattern demonstrated discernible differences in the overall quality and cost‐efficiency of the printed devices.
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Ulmeanu et al. (2024) studied this question.
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