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pro vyhledávání: '"Su, Renbo"'
Autor:
Zhang, Tianyu, Liu, Tao, Dutta, Neelotpal, Chen, Yongxue, Su, Renbo, Zhang, Zhizhou, Wang, Weiming, Wang, Charlie C. L.
While multi-axis 3D printing can align continuous fibers along principal stresses in continuous fiber-reinforced thermoplastic (CFRTP) composites to enhance mechanical strength, existing methods have difficulty generating toolpaths with high fiber co
Externí odkaz:
http://arxiv.org/abs/2410.16851
The morphology of microstructures in scaffolds is a critical factor influencing both mechanical properties and biological performance, such as cell growth, in bone tissue engineering. While metamaterials with optimized mechanical properties, such as
Externí odkaz:
http://arxiv.org/abs/2410.23295
Autor:
Huang, Yuming, Guo, Yuhu, Su, Renbo, Han, Xingjian, Ding, Junhao, Zhang, Tianyu, Liu, Tao, Wang, Weiming, Fang, Guoxin, Song, Xu, Whiting, Emily, Wang, Charlie C. L.
This paper presents a learning based planner for computing optimized 3D printing toolpaths on prescribed graphs, the challenges of which include the varying graph structures on different models and the large scale of nodes & edges on a graph. We adop
Externí odkaz:
http://arxiv.org/abs/2408.09198
Autor:
Tian, Yingjun, Fang, Guoxin, Su, Renbo, Wang, Weiming, Gill, Simeon, Weightman, Andrew, Wang, Charlie C. L.
For the shape control of deformable free-form surfaces, simulation plays a crucial role in establishing the mapping between the actuation parameters and the deformed shapes. The differentiation of this forward kinematic mapping is usually employed to
Externí odkaz:
http://arxiv.org/abs/2405.08935
This paper presents a compact system, OpenPneu, to support the pneumatic actuation for multi-chambers on soft robots. Micro-pumps are employed in the system to generate airflow and therefore no extra input as compressed air is needed. Our system cond
Externí odkaz:
http://arxiv.org/abs/2209.11318
In this paper, we presented a data-driven framework to optimize the out-of-plane stiffness for soft grippers to achieve mechanical properties as hard-to-twist and easy-to-bend. The effectiveness of this method is demonstrated in the design of a soft
Externí odkaz:
http://arxiv.org/abs/2207.08215
Publikováno v:
In Additive Manufacturing February 2022 50
Akademický článek
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Akademický článek
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Autor:
Zhang, Mengmeng1 (AUTHOR) muchmeng@126.com, Su, Renbo1 (AUTHOR) srbncut@126.com, Liu, Zhi1 (AUTHOR) lzliu@ncut.edu.cn, Mao, Fuqi1 (AUTHOR) maofuqi@ncut.edu.cn, Yue, Wen2 (AUTHOR) yw@cugb.edu.cn
Publikováno v:
International Journal of Pattern Recognition & Artificial Intelligence. Aug2019, Vol. 33 Issue 9, pN.PAG-N.PAG. 18p.