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Published on: September 1, 2023
Printing Ready Topology Optimization for Material Extrusion Polymer Additive Manufacturing
Jingjing Yan1,2, Zhiling Yuan3, Qiang Liu4
1Key Laboratory of High Efficiency and Clean Mechanical Manufacture (Ministry of Education), Center for Advanced Jet Engineering Technologies (CaJET), National Demonstration Center for Experimental Mechanical Engineering Education, School of Mechanical Engineering, Shandong University, Jinan, China.
This study introduces a novel topology optimization method that directly generates printing-ready G-code. This approach streamlines additive manufacturing by eliminating complex postprocessing steps and enhancing design efficiency.
Area of Science:
- Engineering
- Materials Science
- Computer-Aided Design
Background:
- Topology optimization enables complex geometries for enhanced product performance in additive manufacturing.
- Increased geometric complexity often leads to inefficient and technically challenging postprocessing of designs.
- Current methods require multiple steps like STL generation, slicing, and toolpath planning.
Purpose of the Study:
- To present a novel printing-ready topology optimization method.
- To streamline the additive manufacturing workflow by directly exporting G-code.
- To improve the efficiency and accuracy of topology optimization for complex designs.
Main Methods:
- Developed a topology optimization method that directly outputs printing-ready G-code.
- Integrated slicing and toolpath information tracking during the optimization process.
- Evaluated the method's performance through three case studies, including a multi-scale design.
Main Results:
- The proposed method significantly reduces postprocessing efforts by eliminating STL generation, slicing, and toolpath planning.
- Tracking slicing and toolpath information during optimization allows for better evaluation of material models, such as fiber-reinforced composites.
- Case studies demonstrated the high efficiency and effectiveness of the printing-ready topology optimization approach.
Conclusions:
- The novel printing-ready topology optimization method offers substantial efficiency gains in additive manufacturing.
- Direct G-code export simplifies the design-to-production workflow for complex geometries.
- The integration of toolpath information enhances numerical analysis accuracy and design optimality for advanced materials.

