Lattice model multiphase reinforcement optimization method based on field data driving
A lattice model and data-driven technology, applied in the field of additive manufacturing, can solve problems such as reduced load-carrying capacity and destructive failure, achieve low cost and improve the mechanical properties of homogeneous lattice structures
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[0032]The drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention, and do not constitute an improper limitation of the present invention.
[0033]In nature, metal materials often have good mechanical properties. There are many structural phases in metals such as martensitic stainless steel. The strong phase can provide high strength to improve the bearing capacity, while the weak phase is suitable for plasticity. Based on this concept, the present invention provides a multi-phase enhancement optimization method based on field data-driven lattice model, such asfigure 1 As shown, the method is specifically:
[0034]Step 1: Construct an initial lattice model of a single lattice type. In this embodiment, an initial lattice model of a single body-centered cubic unit cell (BC) type is constructed;
[0035]Step 2: Obt...
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