Organizers:
- Liang Yue, Hong Kong University of Science and Technology (Guangzhou)
- Xiaohao Sun, University of Science and Technology of China
- Jingchao Jiang, University of Exeter
Description:
Additive manufacturing (AM), encompassing 3D and 4D printing, has revolutionized the production of complex, multifunctional structures with tailored mechanical and stimuli-responsive properties. However, the design and optimization of such structures often involve solving intricate inverse problems, where the goal is to determine the optimal material distribution, layout, and processing parameters to achieve desired performance outcomes. Artificial intelligence (AI) has emerged as a transformative tool in this domain, offering data-driven solutions to tackle these challenges and unlock new possibilities in AM.
This mini-symposium will explore the integration of AI with advanced additive manufacturing techniques, focusing on the development of computational frameworks that enable design innovation, enhance manufacturing processs, and drive new applications. Key topics of discussion will include but are not limited to:
- AI-driven inverse design and optimization for achieving target mechanical responses, shape changes, and multifunctional properties in 3D/4D-printed structures.
- AI-driven process parameter refinement to enhance printing accuracy or printability.
- AI-driven anomaly monitoring and real-time control for improving printing quality.
- AI-guided discovery of novel printing materials with tailoring mechanical, thermal and functional properties.
- Applications of advanced AI techniques, such as diffusion models and reinforcement learning, for AM.
- Applications in 3D/4D-printed robotics, devices, and bio-inspired structures.
- Integration of AI with experimental workflows for automated experimentation.
By bringing together experts from diverse fields, this session aims to showcase cutting-edge advancements, share insights, and foster collaboration in the rapidly evolving intersection of AI and additive manufacturing.
Topics of interest:
- Additive manufacturing
- 4D printing
- Artificial intelligence