Topological optimization design method of self-supporting network structure suitable for additive manufacturing

Abstract

The invention belongs to the field of related technologies of structure optimizing design and discloses a topological optimization design method of a self-supporting network structure suitable for additive manufacturing. The method comprises following steps: (1), density distribution of different levels of solid materials in a range of [0,1] is acquired by an SIMP (solid isotropic material with penalization) design-rigidity interpolation model, and a macroscopic material layout form and a macroscopic displacement field are obtained simultaneously; (2), an optimization model based on a level set parameterization method is constructed, and on the basis of macroscopic material layout optimization, topological optimization of microstructural configuration is performed on different intermediate density units and an optimal mesoscopic microstructural configuration is output. According to the method, a supporting structure is combined with the designed structure, the macroscopic material layout optimization and microscomic microstructure topological optimization are integrated, so that addition of the supporting structure to additive manufacturing molding is avoided, consumable items are saved, the cost is reduced, the flexibility is higher, and the structure surface quality is protected.

Description

technical field [0001] The invention belongs to the related technical field of structure optimization design, and more specifically relates to a self-supporting network structure topology optimization design method suitable for additive manufacturing. Background technique [0002] In the additive manufacturing system, the support generation technology is the key technology, it can constrain the deformation of the parts, and make the parts can be manufactured smoothly, the research significance is very important. However, the structural design of process support has always been the bottleneck in the development of additive manufacturing technology. Some research has been done in this area at home and abroad, but the solution is not ideal, such as the cumbersome design process and high requirements for equipment operators. For example, when the 3D printers on the market are printing, the material is heated and melted in the nozzle, and the nozzle moves along the contour of the...

AI Technical Summary

Problems solved by technology

At present, there are mainly two methods for the research on the network structure: one is to regard the network structure as a truss, and use the base structure method in the topology optimization of the discrete structure to design the network structure. This method is less flexible and not applicable topology optimization based on the continuum structure; the other is based on production experience, by setting periodic implicit functions or spline functions, heuristically gives the design of the network structure, this method has more limitations and more flexibility Low, high requirement for experience, unstable quality

Images