Intelligent design method for removable partial denture

Abstract

The invention discloses a removable partial denture intelligent design method, which belongs to the technical field of 3D printing, and comprises the following steps: performing Boolean operation according to an edge-triangle intersection method, establishing a grid growth relation list, counting the overlap ratio of seed nodes, the number of triangular patches and the total area, and obtaining the integrating degree of a denture template model and an oral cavity model. According to the method, the technical problems of improving the operation speed, reducing the memory utilization rate and realizing intelligent recommendation of the false tooth template model are solved, the speed of intersection calculation is greatly improved, the redundancy of intersection calculation is reduced, the stability and efficiency of an algorithm are greatly improved, and meanwhile, the quality of a Boolean operation result is also improved; the method can quickly judge the spatial position relationship between the point and the model, is suitable for closed and open grid models, is stable and reliable in algorithm, has fewer non-popular or unstable triangular patches in the Boolean operation result, can perform continuous Boolean operation, and can be used for cutting simulation.

Description

technical field [0001] The invention belongs to the technical field of 3D printing, and in particular relates to an intelligent design method for removable partial dentures. Background technique [0002] There are two types of dentures: removable and fixed. Fixed dentures (commonly known as "fixed dentures") cannot be taken and worn by patients themselves, while removable dentures (commonly known as "movable dentures") can be conveniently taken and worn by patients. [0003] At present, the production of dentures tends to be digitalized, and denture printing by 3D printers will gradually become the mainstream method in the market. [0004] At present, the use of 3D printers for denture production has the following disadvantages: [0005] 1. Most of the existing 3D model spline editing and cutting technologies are based on spatial spline projection, and the projection direction of the curve is the key to ensure the quality of the spline. For complex models, it is difficult...

AI Technical Summary

Problems solved by technology

For complex models, it is difficult to accurately determine the projection direction of the curve, which will lead to problems such as distortion and discontinuity in the spline during the spline drawing process, which will lead to instability in subsequent clipping

[0006] 2. It is impossible to form a fast and intelligent modeling process, and the traditional manual drawing method is still used to model and draw the various parts of the denture

[0007] 3. Using the traditional "triangle-triangle" intersection method to perform Boolean operations, the memory usage rate is high and the calculation speed is slow

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