| dc.description.abstract | This research tackles efficient simulations in FDM printing of bio-inspired structures. It introduces a Dimensionality Reduction Model aimed at streamlining simulations without sacrificing accuracy. Centered on the principles of composite material mechanics, such as classic laminate theory, this model reduces computational complexity while retaining essential structural details.
Bio-inspired structures show potential across industries, and this model, utilizing sophisticated algorithms, condenses simulations and validates its precision through comparisons with conventional methods. Its practical implications encompass accelerated design iterations, enhanced manufacturing processes, and the progression of bio-inspired designs in additive manufacturing, thereby fostering innovation in 3D printing. | |