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Nylon lattice design parameter effects on additively manufactured structural performance.

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Summary

Additive manufacturing enables lattice structures, but performance predictions from numerical models can be highly inaccurate. Experimental validation is crucial, as simulated loads differed from experimental results by up to 97.0% due to variations in strut diameter.

Keywords:
3D printingAdditive manufacturingFinite element analysisLatticeNumerical simulationPorous

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Area of Science:

  • Additive Manufacturing
  • Materials Science
  • Mechanical Engineering

Background:

  • Lattice structures are increasingly used in critical applications like aerospace and medicine.
  • Additive manufacturing (AM) facilitates the creation of complex lattice designs.
  • Accurate performance prediction is vital for lattice structure design and validation.

Purpose of the Study:

  • To evaluate lattice design parameters using both numerical modeling and experimental methods.
  • To compare the accuracy of computational estimations against experimental data for lattice structures.
  • To investigate the influence of strut diameter and lattice type on performance prediction accuracy.

Main Methods:

  • Fabrication of body-centered cubic (BCC) and Voronoi Tessellation Method (VTM) lattices in nylon 12 using laser powder bed fusion.
  • Varying lattice cell lengths and strut diameters while maintaining relative density.
  • Quasi-static tensile, compressive, and shear testing of fabricated lattice specimens.
  • Comparison of experimental reaction loads with results from numerical modeling.

Main Results:

  • Optical microscopy revealed significant discrepancies (up to 28.6%) between designed and fabricated strut diameters.
  • Simulated reaction loads showed differences of up to 4.6% for BCC and 19.5% for VTM lattices under specific conditions.
  • Experimental and simulated lattice reaction loads exhibited errors as high as 97.0%, strongly correlating with strut diameter variations.

Conclusions:

  • Computational estimations of lattice structure performance can be significantly erroneous.
  • Experimental validation is essential to quantify prediction accuracy for AM lattice structures.
  • Strut diameter variations, influenced by the AM process, critically impact the reliability of numerical models.