从3D打印到智能制造——记11-4 Mike毛乐诚“3D打印与数据驱动制造”主题中庭展
在四楼中庭,一场名为《3D打印与数据驱动制造:从结构制造到智能材料设计》的小型展览最近吸引了不少同学驻足,其策划者及展品研究者都是来自11-4的毛乐诚同学。本次展览不仅介绍了3D打印的基础原理与工程应用,更进一步探讨了数据科学、人工智能与仿生材料设计如何推动制造系统向“智能化”发展。
走进展区,你会看到3D打印从数学模型到实体结构的完整过程,也能了解FDM、SLA等不同3D打印技术的区别。展览系统地展示了数字模型如何一步步转化为真实结构。毛乐诚同学用大量案例告诉大家:3D打印的真正魅力,在于它带来的“设计范式转变(Design Paradigm Shift)”。以往“为了好加工而设计”,现在可以“为了性能而设计”。拓扑优化、晶格结构……这些抽象概念,毛乐诚同学用模型将它们展示得清清楚楚。
值得一提的是,本次展览并未停留在“技术展示”层面,而是进一步引入了数据科学与人工智能在现代制造中的作用。展览通过参数优化、机器学习预测模型以及智能制造系统等内容,向同学们展示了现代工程系统如何从“经验驱动”逐渐转向“数据驱动”。例如,在实际制造中,打印温度、速度、材料属性与结构设计往往会互相影响,而数据建模与AI算法能够帮助研究者更高效地预测结果并改进设计。
本次展览的核心亮点之一,是毛乐诚同学基于仿生学理念开展的“仿生粘附材料”研究展示。这一灵感来源于壁虎足部结构。壁虎能够通过微纳尺度结构产生范德华力,从而实现强大的粘附能力。基于这一原理,毛乐诚同学利用3D打印构建了不同类型的仿生微结构,并通过实验对材料性能与粘附效果进行了数据分析。
展览中,同学们不仅能够观察不同结构设计对性能的影响,还能够了解到真实工程研究中的复杂性:材料柔性、微结构形态、接触面积以及表面性质等变量之间存在显著的非线性耦合关系。这使得仿生材料设计不仅是制造问题,更是一个涉及材料科学、物理学、数学建模与人工智能的综合工程问题。
通过本次展览,许多同学第一次意识到,3D打印不仅是一种“打印模型”的工具,更是一种融合工程、数据科学与人工智能的新型技术平台。从制造结构,到设计材料,再到未来智能系统的构建,3D打印正在打开工程学习与研究的更多可能。
以展促思,以技启新。这场中庭展不仅让同学们更深入理解了现代制造技术的发展方向,也激发了大家对未来工程、人工智能与智能系统的思考。相信这样的跨学科探索,也能够让更多同学主动关注科技与现实世界的紧密联系。
At the fourth-floor atrium, an exhibition titled “3D Printing and Data-Driven Manufacturing: From Structural Fabrication to Intelligent Material Design” has recently attracted many students to stop by and explore. The exhibition was organized by Mike Mao from Class 11-4, who also conducted the research behind many of the displayed projects. Beyond introducing the fundamental principles and engineering applications of 3D printing, the exhibition further explored how data science, artificial intelligence, and biomimetic material design are driving manufacturing systems toward greater intelligence and automation.
Walking through the exhibition, students and teachers could observe the complete process of 3D printing, from mathematical modeling to the creation of physical structures, while also learning about different printing technologies such as FDM and SLA. The exhibition systematically demonstrated how digital models are gradually transformed into real-world objects. Through numerous examples and models, Mike showed the audience that the true significance of 3D printing lies in the “design paradigm shift” it brings. In the past, engineers often designed products to accommodate manufacturing limitations; today, designs can increasingly be optimized for performance itself. Concepts such as topology optimization and lattice structures, which are often difficult to visualize, were clearly presented through physical models and demonstrations.
Notably, the exhibition did not stop at simply showcasing technology. It also introduced the growing role of data science and artificial intelligence in modern manufacturing. Through topics such as parameter optimization, machine-learning prediction models, and intelligent manufacturing systems, students were able to see how engineering is gradually shifting from experience-driven methods to data-driven approaches. For example, in real manufacturing processes, factors such as printing temperature, speed, material properties, and structural design often influence one another, while data modeling and AI algorithms can help researchers predict outcomes more efficiently and improve designs.
One of the exhibition’s highlights was Mike’s research project on biomimetic adhesive materials inspired by gecko foot structures. Geckos are able to achieve remarkable adhesion through microscopic and nanoscale structures that generate van der Waals forces. Drawing on this principle, Mike used 3D printing to create different types of biomimetic microstructures and conducted experiments analyzing their material properties and adhesive performance.
Through the exhibition, students were not only able to observe how different structural designs affect performance, but also gained insight into the complexity of real engineering research. Factors such as material flexibility, microstructure geometry, contact area, and surface properties interact in highly interconnected ways. As a result, biomimetic material design is not simply a manufacturing challenge, but a multidisciplinary field involving materials science, physics, mathematical modeling, and artificial intelligence.
For many students, the exhibition also became their first opportunity to realize that 3D printing is far more than a tool for producing models. It has become an emerging technological platform that integrates engineering, data science, and artificial intelligence. From fabricating structures to designing materials and developing future intelligent systems, 3D printing is opening new possibilities for engineering education and research.
By using exhibitions to inspire curiosity and technology to spark new ideas, this atrium exhibition not only deepened students’ understanding of modern manufacturing technologies, but also encouraged broader reflection on engineering, artificial intelligence, and intelligent systems. Interdisciplinary exhibitions like this may inspire more students to explore the connections between technology, engineering, and real-world problems.
文:11-4 毛乐诚
责编:11-7 刘晨程
文字指导:李婷
主持:11-8 何家亦
图片、视频剪辑、编辑:曲昊睿
审核:苏晔


沪公网安备 31011202006685号 备案号:
沪ICP备2023031618号-2