4.7 Article

Multi-scale design of multi-material lattice structures through a CAD-compatible topology optimisation algorithm

Journal

ENGINEERING STRUCTURES
Volume 273, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.engstruct.2022.115009

Keywords

Topology optimisation; NURBS hyper-surfaces; Multi-material structures; Lattice structures; Homogenisation; Additive manufacturing

Funding

  1. Nouvelle-Aquitaine Region

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This study presents a multi-scale topology optimization method based on NURBS hyper-surfaces and an improved multiphase material interpolation scheme, which is successfully applied to 2D and 3D problems without the need for artificial filtering techniques. It is sensitive to the optimized configuration of the RVE, and investigates the influence of the starting point and macroscopic loads on the optimal solution.
This work deals with the multi-scale topology optimisation (TO) of multi-material lattice structures. The proposed approach is based on: non-uniform rational basis spline (NURBS) hyper-surfaces to represent the geometric descriptor related to each material phase composing the representative volume element (RVE), an improved multiphase material interpolation (MMI) scheme to penalise the element stiffness tensor of the multi -material RVE, the strain energy-based homogenisation method (SEHM) to carry out the scale transition. In this context, the design requirements are defined at different scales and their gradient is evaluated by exploiting the properties of the NURBS entities and of the SEHM. Moreover, the improved MMI scheme proposed here does not require the introduction of artificial filtering techniques to smooth the topological descriptors of the material phases composing the RVE. The effectiveness of the method is proven on both 2D and 3D problems. Specifically, a sensitivity analysis of the optimised configuration of the RVE to the parameters tuning the shape of the NURBS entity is conducted. Finally, the influence of the starting point and of the macroscopic loads on the optimal solution is investigated.

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