3D model internal hole digging type lightweight method based on function representation

Abstract

The invention discloses a 3D shape internal hole digging type lightweight method based on function representation, and belongs to the field of computer aided design. The method comprises the followingsteps: firstly, expressing and exploring effective shape optimization analytical calculation by utilizing a function, then designing a stress structure of a 3D model by constructing an energy function model under given external condition constraints, modeling an object mass center, standing stability, tumbler design and suspension problems, and giving out a corresponding discretization form; andfinally, respectively carrying out geometric optimization on the modeling problems to obtain the internal shape of the optimized object under a given constraint condition. According to the method, thedesign and optimization period of the hole structure is greatly shortened, and a theoretically optimal result can be given. According to the method, the internal cavities of the obtained model are smoother and are not limited by the number of the cavities, the object model has a lower centroid, more materials are saved, and the consumed time in the aspects of design and optimization is shorter.

Description

technical field [0001] The invention belongs to the technical field of computer-aided design, engineering design and manufacturing, and relates to a light-weight method of digging holes inside a 3D model based on function representation, which is suitable for the design and optimization of the hollowing of general parts, especially for 3D Hollow optimization of printed objects. Background technique [0002] Internal hollowing is an effective lightweight method that satisfies functional purposes without changing the external shape of the 3D object. This method can greatly reduce the use of materials and manufacturing costs, and is widely used in fields such as environmental protection and material saving. However, the existing methods have problems such as local self-intersection, non-smooth shape representation, and difficulty in accurately describing the internal complex structure. How to avoid the self-intersection problem, and at the same time describe the shape of the ...

AI Technical Summary

Problems solved by technology

However, the existing methods have problems such as local self-intersection, non-smooth shape representation, and difficulty in accurately describing the internal complex structure.

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