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Rotation-Assisted Separation Model of Constrained-Surface Stereolithography.
Min Hu1, Haobo Cheng1,2, Yunpeng Feng1,2
1Joint Research Center for Optomechatronics Design and Engineering, School of Optics and Photonic, Beijing Institute of Technology, Beijing, China.
3D Printing and Additive Manufacturing
|March 31, 2023
Summary
A new rotation-assisted separation method for constrained-surface stereolithography (SLA) significantly reduces separation force and time. This technique improves 3D printing accuracy and reliability by preventing vacuum buildup during layer separation.
Area of Science:
- Additive Manufacturing
- Materials Science
Background:
- Constrained-surface stereolithography (SLA) is a mature 3D printing technology known for precision.
- Layer separation is a critical and challenging step in SLA, impacting print accuracy and reliability.
- Existing methods to reduce separation force include non-stick coatings, tilting, sliding, and vibration.
Purpose of the Study:
- To introduce and evaluate a novel rotation-assisted separation method for constrained-surface SLA.
- To demonstrate the effectiveness of this method in reducing separation force and time.
- To analyze the influence of rotation timing and pattern edge profile on separation dynamics.
Main Methods:
- Simulation of the pulling separation process with rotation.
- Implementation of a customized rotatable resin tank in a commercial liquid crystal display-based 3D printer.
- Analysis of separation force and distance reduction based on experimental data.
Main Results:
- Simulations indicate that rotation effectively reduces separation force and shortens separation time.
- The rotation-assisted method successfully breaks the vacuum between the cured layer and the FEP film.
- Experimental results show a significant reduction in maximum separation force and ultimate separation distance, influenced by pattern edge profile.
Conclusions:
- Rotation-assisted separation is a simple and cost-effective technique for constrained-surface SLA.
- This method enhances the reliability and accuracy of 3D printing by minimizing separation-induced issues.
- The findings suggest potential for further optimization by controlling rotation parameters and pattern design.

