Yuan Yao

Rapid Manufacturing Center, Shanghai University
Engineering Training Center, Shanghai University
yaoyuan@shu.edu.cn
GoogleCitation

Research Interest

Computational Fabrication
,
Digital Manufacturing
, Computer-aided Design, Biomanufacturing, Augmented Reality, and Robotics

Weaving path planning for FDM

In order to strengthen the connection between layers in FFF process, this project presents a 3D weaving tool path that can be constructed by a 5-layer cyclic structure to achieve inter-layer interlocking or embedding to improve mechanical properties between layers. The developed algorithm extends the weaving path as a common infill pattern to fill different structures. This process can be realized with a common three-axis 3D printer. Compared with 3D printed parts with layer to layer deposit, the interlayer anisotropy are significantly reduced to 10.21% and 0.98%. We further extend the planning method to adapt different geometric models.

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Continuous fiber-reinforced 3D Printing

In order to strengthen the connection between layers in FFF process, this project presents a 3D weaving tool This project presents a method for printing fiber-reinforced composite on the common fused filament fabrication (FFF) platform. Polylactic Acid (PLA) and Polyethylene terephthalate (PET) fibers are used as printing materials. And a spatial continuous toolpath planning strategy is designedto reduce the workload of post-processing. Experimental results show that this process not only enables the printing of models with complex geometric shapes but also supports material recycling and reuse. Mechanical tests show that the maximum tensile strength of continuous PET fiber-reinforced thermoplastic composites (PFRTPCs) is increased by 117.8% compared to PA66.

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3D printing by multiple axies robot arm

In order to strengthen the connection between layers in FFF process, this project presents a 3D weaving tool This project aims transporting 3D printing softwares from 3-axis device to multi-axis robot arm platforms. The hardware system and software system are designed to synchronize the movement of TCP and the material feeding. Both continuous fiber-reinforced composite and the pure composite are supported as the printing material, and it can print on different spatial planes and curve planes. Compared with traditional 3D printing, this manufacturing method is flexible enough to fill material along a spatial path that can reduce the impact of the anisotropy of the mechanical properties of the fiber-reinforced material on the 3D printed structure..

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Rule-driven topology optimization

In order to strengthen the connection between layers in FFF process, this project presents a 3D weaving tool The goal of our research is to provide a rule based method to simplify the topology optimization process. We use defeasible logic to decribe the designer's incomplete knowledge as rules. A rule-driven structure evolution framworks is designed to generate satisfied structure. By using this design pattern, the design knowledge can be saved, translated, and accumulated.

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Recent Publications

  1. Yuan Yao, Longyu Cheng, Zhengyu Li, A Comparative Review of Multi-Axis 3D Printing. Journal of Manufacturing Processes, 2024, 120(30): 1002-1022. paper
  2. Ao Liu, Yifan Zhang, Yuan Yao. Digital twins for hand gesture-guided human-robot collaboration systems. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2024: 09544054231223783. paper
  3. Jinxiu Yang, Yingxin Ma, Ling Chen, Lijing Zhang, Huanxiao Wu, Yuan Yao, An adaptive matrix material extrusion optimization model for in situ impregnated continuous fiber-reinforced 3D printing, The International Journal of Advanced Manufacturing Technology, 2023, 129:1527–1545. paper code
  4. Yingxin Ma, Jinxiu Yang, Hang Zhang, Yuan Yao, Beishui Liao, Global Continuous Toolpath Planning with Controllable Local Directions. Computer-aided Design, 2023，164, 1035932023. paper code
  5. Hang Zhang, Yuan Yao, Yingxin Ma, Maximilian Lackner, Yunliang Jiang, A 3D printing tool-path generation strategy based on the partition of principal stress field for FFF Platform, The International Journal of Advanced Manufacturing Technology, 2022. paper
  6. Wei Wei, Ling Chen, Lijing Zhang, Jinxiu Yang, Yuan Yao, Heng Zhang. An experimental study on the properties changing in recyclable fiber‐reinforced 3D printing. Polymer Composites, 2022. paper
  7. Yuan Yao, Cheng Ding, Mohamed Aburaia, Maximilian Lackner, Lanlan He. A 3D weaving infill pattern for fused filament fabrication. The International Journal of Advanced Manufacturing Technology, 2021, 117: 3101–3114. paper
  8. Yuan Yao, Yichi Zhang, Mohamed Aburaia, Maximilian Lackner. 3D Printing of Objects with Continuous Spatial Paths by a Multi-Axis Robotic FFF Platform. Applied Sciences, 2021, 11(11): 4825. paper
  9. Xiao Chen, Yuan Yao, Suihong Liu, Qingxi Hu, An integrated strategy for designing and fabricating triple-layer vascular graft with oriented microgrooves to promote endothelialization, Journal of Biomaterials Applications, 2021, 36(2):297-310. paper
  10. Yuan Yao, Meng Li, Maximilian Lackner, Lammer Herfried. A Continuous Fiber-Reinforced Additive Manufacturing Processing Based on PET Fiber and PLA. MATERIALS, 2020, 13(14): 3044. code
  11. Huijuan Qiu, Yuan Yao. Rule-based Distribute Topology Optimization. 2020 3rd International Conference on Robot Systems and Applications(ICRSA 2020); Chengdu, China. Association for Computing Machinery, 2020. 45-49.
  12. Huifeng Wu, Danfeng Sun, Lan Peng, Yuan Yao, Jia Wu, Quan Z. Sheng, Yi Yan. Dynamic Edge Access System in IoT Environment, IEEE Internet of Things Journal, 2019, 7(4): 2509-2520. paper
  13. Gang Li, Yuan Yao. Manufacturable Gradient-Variable Cellular Structures Design. IOP Conference Series: Materials Science and Engineering. 2019, 692(1), IOP Publishing.
  14. Yang Gao, Yuan Yao, and Yunliang Jiang. Multi-target 3D Reconstruction from RGB-D Data. Proceedings of the 2nd International Conference on Computer Science and Software Engineering. 2019.
  15. Shusen Sun, Yuan Yao, and Yunliang Jiang. A 3D Continuous Path Generation Method and Evaluation for Fused Deposition Manufacturing in Tissue Engineering. Journal of Biomaterials and Tissue Engineering, 2019, 9(3): 273-282.

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Teaching

Seminar

新生参考

Recent Call For Paper