Adaptive Density Optimization of Lattice Structures Sustaining the External Multi-load

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