Advancing a real-time image-based jet lag tracking methodology for optimizing print parameters and assessing melt electrowritten fiber quality
نویسندگان
چکیده
Melt electrowriting (MEW) has emerged as an important additive manufacturing process to fabricate high-resolution microscale fibrous scaffolds for engineered tissue applications. However, the complex interplay between numerous variables renders parametric optimization of this technique a challenging task. In order facilitate MEW-jetted fiber fabrication, study adopts real-time jet lag tracking methodology. Specifically, methodology is implemented determine optimum conditions improve quality featured by prescribed mean diameter and enhanced uniformity. Firstly, serpentine toolpath designed, length signal recorded, exhibiting multiple successive peaks. The coefficient variance CV pv correlated with these peak values first identified indicator stability. Second, given pressure ( P ) translational stage speed v ), applied voltage U increases, found initially decrease before reaching minimum point at = c , followed increase higher values. represents inflection on graph function whereby pulsing observed when < . Otherwise, uniformity achieved expense detectable current leakage > Moreover, decreases, deceases plateaus value b Furthermore, increases. These aforementioned dependencies are closely related mass equilibrium around Taylor cone. Finally, based results, systematic protocol advanced appropriate - settings that enable printed quality.
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ژورنال
عنوان ژورنال: Additive manufacturing
سال: 2022
ISSN: ['2214-8604', '2214-7810']
DOI: https://doi.org/10.1016/j.addma.2022.102764