基于激光粉末床熔融技术的全局树形支撑构建方法
By using a particle swarm optimization algorithm based on OpenGL and a reward/penalty mechanism to adaptively partition and iteratively construct tree supports globally, the problems of insufficient automation and insufficient global topology planning capability in existing technologies are solved. This achieves efficient and stable tree support generation, improving the quality and efficiency of SLM molding.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU YIJIA 3D ADDITIVE TECH CO LTD
- Filing Date
- 2026-05-12
- Publication Date
- 2026-07-17
AI Technical Summary
Existing tree-shaped support generation technology lacks automation, has poor consistency in molding quality, and lacks global topology planning capabilities. This makes it difficult to control the surface roughness, shape and position accuracy, and deformation of parts after molding, increasing the cost and time of data processing before printing. Furthermore, the complexity of the support structure increases the printing time and post-processing difficulty.
A global tree support construction method based on the OpenGL rendering framework is adopted. The particle swarm algorithm based on the reward and punishment mechanism is used to generate a stable tree support structure by adaptively dividing the support area, constructing support points globally and iteratively, and combining the ray collision algorithm and the KD-Tree algorithm.
It enables automated generation of tree-shaped supports, improves the consistency of molding quality, reduces stress-induced warping and curling, optimizes material utilization and molding efficiency, and simplifies the post-processing.
Smart Images
Figure CN122184398B_ABST