Youth Talks 第七十七期（中文）| 4D 打印及其应用

北京时间10月15日晚八点，iCANX Youth Talks第七十七期将隆重开播！本期，我们邀请到了中国科学技术大学特任研究员孙晓昊、哈尔滨工业大学教授张风华、香港科技大学(广州)助理教授岳亮主讲，威斯康星大学麦迪逊分校匡晓博士担任研讨嘉宾，南方科技大学葛锜教授担任主持人，期待你一起加入这场知识盛宴。

Shape transformation of active composites (ACs) depends on the spatial distribution and active response of constituent materials. Utilizing voxel-level complex material distribution in 4D-printed ACs offers a vast possibility for attainable shape changes, while also posing a significant challenge in efficiently designing material distributions to achieve target shape changes. In this talk, I will present how to use machine learning to rapidly explore the design space and to obtain optimized designs for target shape changes. In this approach, we first use finite element simulations to obtain the deformed shape from randomly generated designs. The simulation results are then used to train machine learning models, which are then used with gradient-free evolutionary algorithm or gradient descent algorithm for the inverse design problem. We show that due to ultrahigh efficiency of machine learning models in the forward prediction problem, the machine learning-empowered design approach demonstrates high capabilities in designing various 4D-printed shape-morphing AC structures, such as active beams, lattices and plates. A streamlined design-fabrication paradigm based on hand-drawn target lines or scanned target surfaces is also demonstrated for different AC structures. Through these examples, we aim to shed light on the intelligent design and fabrication of 4D printing and shape-morphing structures.

Dr. Xiaohao Sun, a specially appointed Professor in the Department of Modern Mechanics at University of Science and Technology of China (USTC). He obtained his bachelor's and doctoral degrees from USTC in 2014 and 2019, respectively, under the supervision of Professor Hengan Wu. From 2019 to 2020, he conducted postdoctoral research at the University of Colorado Boulder, working with Professor Rong Long. From 2020 to 2024, he continued his postdoctoral research at the Georgia Institute of Technology, working with Professor Hang Jerry Qi. Dr. Sun's research focuses on the mechanics of soft active materials, AI-driven inverse design for 4D printing, and programmable structures. He has published 31 SCI papers, with 17 as the first or corresponding author in prestigious journals such as Nature Communications, Journal of the Mechanics and Physics of Solids, Advanced Functional Materials, International Journal of Solids and Structures, and Matter. He holds one authorized patent. His work has been widely reported in Advanced Science News, the 4D Printing Society, and the Chinese Academy of Sciences. 

Stimuli-responsive polymers refer to a kind of smart materials that are capable of changing shapes or sizes when subjected to external stimulus. As typical stimuli-responsive materials, shape memory polymers (SMPs) and their composites (SMPCs) have advantages like a fast response, long lifetime, high resilience, light weights, stretchability, low cost, and easy processing. These special features make them promising materials for sensors and actuators, with broad application potential in biomedical devices, deployable structures, smart textiles, etc. 4D printing allows the development of “living” adaptable structures from SMPs/SMPCs. We have developed a series of shape-morphing structures through 4D printing, including a vascular stent, vascular stent, and space-deployable structures. Moreover, the challenge and potential of 4D printing of shape memory polymers/composites are thoroughly discussed. It would not be an exaggeration to say that the 4D printing of active deformable structures, like shape memory composite structures, could lead to revolutionary developments in several areas.

Fenghua Zhang is a professor in the Center for Smart Materials and Structures at the School of Astronautics of Harbin Institute of Technology. She obtained her Ph.D. degree from Harbin Institute of Technology in 2017. From 2014 to 2016, she as a visiting scholar does her research work at the University of Cambridge (UK). She is focusing on Shape memory polymers, multifunctional nanocomposites, 4D printing, electrospinning fibers, stimuli-responsive microcapsules, smart structures and their biomedical applications. She has published more than 90 SCI scientific papers and 40 issued patents. She also served as a deputy Editor-in-chief of the International Journal of Smart and Nano Materials and as a Young Editorial Board Member of Research. She has been elected as a Committee Member of the Additive Manufacturing Medical Devices Committee, and a Committee Member of the Chinese Society for Composite Materials (CSCM).

4D printing is a novel concept that emerges in recent years, benefiting from the rapid development of advanced 3D printing technologies and active materials. In 4D printing, upon external stimuli on demand, a 3D printed part can change its shapes as a function of time, which becomes the 4th dimension of the shape forming process. 4D printing offers the advantages of forming complicated 3D shapes from low dimensional structures, saving printing materials and printing times, etc. These make it suitable for applications including morphing structures, sensors, actuators, and soft robots. This talk will introduce the recent progress on grayscale digital light processing (g-DLP) techniques on multi-material 3D printing and it`s applications on shape morphing 4D printing.

Dr. Liang Yue is an Assistant Professor in the Smart Manufacturing Thrust at The Hong Kong University of Science and Technology (Guangzhou) and the PI of the Intelligent Polymer and Manufacturing Laboratory. He obtained his B.Eng degree in Polymer Engineering from Sichuan University, and his M.S. and Ph.D. degrees in Macromolecular Science and Engineering from Case Western Reserve University. He further conducted his postdoctoral research at the Georgia Institute of Technology before joining HKUST(GZ). Dr. Yue's research interests focus on developing sustainable polymers, polymer composites and 3D/4D printing. He has co-authored 40 research articles, including 20 first-authored papers published in prestigious journals such as Nature Communications, Science Advances, Advanced Materials, JMPS, Macromolecules, and ACS Macro Letters. He has filed 8 U.S. patents and contributed to 3 academic books. Dr. Yue also serves as a youth editorial board member for the International Journal of Extreme Manufacturing and reviews manuscripts for journals including Nature Reviews Bioengineering, Advanced Materials, Advanced Functional Materials, Additive Manufacturing, and Macromolecules etc.

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葛锜

南方科技大学

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研讨嘉宾

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匡晓

威斯康星大学麦迪逊分校

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