Adaptive Density Optimization Of Lattice Structures Sustaining The External Multi-Load

In recent years, additive manufacturing have attracted increasing attention and promoted the development of lightweight modeling methods. Some studies have been carried out using internal filling structure to optimize the 3D model, while reducing the weight of the model, it can also satisfy some physical properties, such as to withstand the external loads. This paper presents an adaptive infilling structure optimization method based on the triply periodic minimal surface (TPMS), which can be represented by a pure mathematical implicit function. The morphology of these lattice structures within different stress regions can be adaptively adjusted, so as to reduce the weight of 3D printed objects while sustaining the external multi-load constraints. Firstly, finite element method is used to analyze the stress distribution of the original model infilled with uniform lattice structure. According to its stress value, the internal lattice structure is divided into three regions consists of high region (HR), transition region (TR) and low region (LR). Then, the inner structure within different stress regions is adaptively adjusted to relieve the stress concentration. Finally, we demonstrated that the proposed algorithm can effectively reduce the weight of 3D model while sustaining its mechanical strength.