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September 24, 2025Advanced Engineering Materials3 citations

Investigation on Elastic Constants, Isotropy, and Energy Absorption Capability of Topology Optimized Lattice Structures

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SGSaurabh GairolaRJR. Jayaganthan

Key Points

  • The FC–N type lattice at 0.45 density achieves a Young's modulus of 1079.1 MPa, showcasing effective optimization.
  • Numerical analysis coupled with experimental validation highlights the effect of cell topology on mechanical properties.
  • Topology optimization successfully enhances elastic constants and isotropic behavior in lattice structures.
  • Lattice structures demonstrate significant potential for applications in aerospace, automotive, and biomedical fields.

Abstract

Architectured cellular structures have garnered significant attention due to their exceptional mechanical properties achieved with the advent of additive manufacturing. This study investigates the design and optimization of lattice structures using topology optimization (TO) for diverse loading conditions, aiming to create robust lattices with superior mechanical performance and energy absorption capability. The effect of cell topology and relative densities on mechanical properties is analyzed numerically and validated experimentally. The TO is successfully implemented to design lattice structures to maximize the different elastic modulus and isotropy. For instance, the FC–N type lattice structure at a relative density of 0.45 demonstrates a Young's modulus of 1079.1 MPa, approaching the theoretical limit provided by the Hashin–Shtrikman upper bound. Several TO lattice structures, such as the FC lattice structures of S and N types at a relative density of 0.15, exhibited highly isotropic behavior with a Zener anisotropy index of ≈1. These structures show potential for lightweight aerospace and automotive components due to superior elastic constants and for biomedical scaffolds or satellite parts requiring isotropic mechanical behavior. This study establishes a methodology for creating application‐specific lattice materials, bridging computational optimization with practical manufacturing to address diverse engineering needs.

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Cite This Study

Gairola et al. (2025) studied this question.

synapsesocial.com/papers/68d6e14f8b2b6861e4c3fe3chttps://doi.org/10.1002/adem.202501159
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