Architected metamaterials utilize unique geometries to enhance the mechanical and physical properties of structures. This study investigates the energy absorption capabilities of additively manufactured hybrid strut-based metamaterials, produced using Fused Deposition Modeling (FDM) with Polylactic Acid (PLA). Compression tests were conducted on six novel hybrid strut lattice designs to analyze their structure-property relationships. The designs integrated Kelvin cells, edge struts, octagonal shapes, hex trusses, face-centered components, and corner diagonal struts. The combination of "Kelvin Cell + Octagon" achieved excellent energy absorption efficiency, with the highest Specific Energy Absorption (SEA) of 1450 kJ/kg. Through the synergistic effect of octagonal geometry and Kelvin cell structure, controlled deformation and delayed buckling are realized to release the energy fully and maximize stress wave interaction. However, the configuration of the "Edge Struts + Hex Truss" configuration was not far away either, exhibiting an SEA of 1388.89 kJ/kg, owing to the effective load distribution provided by the hexagonal truss structure. Other configurations had much lower SEA values: 275 kJ/kg for "Kelvin Cell + Hex Truss" 185.71 kJ/kg for "Kelvin Cell + Edge Struts" 162.5 kJ/kg for "Edge Struts + Corner Diagonal" and 26.67 kJ/kg for "Edge Struts + Face Centre". Using microscopy to look at failed samples showed that shapes with hexagonal and octagonal parts increased SEA by making stress distribution more even and limiting deformation during compression. The unit cell geometry is the critical factor for deciding upon the energy absorption capacity of metamaterials. This work provides useful insights to design optimized additively manufactured metamaterials to achieve high energy absorption, which will be useful to applications such as automotive crash protection, aerospace components, personal protective equipment, and vibration damping systems. The "Kelvin Cell + Octagon" and "Edge Struts + Hex Truss" configurations emerge as highly effective designs, balancing strength, ductility, and energy absorption efficiency for advanced engineering applications.
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This study investigates the correlation among the impact strength of Polylactic acid (PLA) material as well as many 3D printing parameters, including layer height, infill density, extrusion temperature, and print speed, using Fused Deposition Modelling (FDM) in Additive Manufacturing (AM). By using well-planned trials, the ASTM D256 standard assessed the impact strength of samples. Impact strength was optimized using six distinct techniques: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Simulated Annealing (SA), Teaching Learning Based Optimization (TLBO), and Cohort Intelligence (CI). These approaches are reliable since they consistently delivered similar impact strength values after several iterations. The best algorithms, according to the study, were TLBO and JAYA, which produced a maximum impact strength of 4.08 kJ/m2. The algorithms' effectiveness was validated by validation studies, which showed little error and near matches between the expected and actual impact strength values. The advantages of employing these methods to increase the impact strength of PLA material for 3D printing are illustrated in the present research, which provides helpful insights on how to improve FDM procedures.
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