题目：Bottom-up Data-driven Generative Design: Transforming the Digital Thread in Additive Manufacturing
时间：2025年7月31日 9:00-11:00
地点：williamhill威廉希尔官网 F310会议室
邀请人：胡永祥 教授（制造技术与自动化装备研究所）
Biography
Dr. Yicha ZHANG is a full professor in the Department of Mechanical Engineering at INSA Hauts-de-France, Université Polytechnique Hauts-de-France & LAMIH, UMR CNRS 820. His research expertise spans generative design, bio-inspired design, integrated design and planning for additive manufacturing (AM), hybrid AM, and the development of AM-based product-service systems. He is currently leading the remanufacturing & circular economy team. His research has led to over 90 publications in peer-reviewed journals and conferences and numerous paper awards. For his original contribution to the Constructive Generative Design theory & application in AM, he was elected as an associate member of CIRP (International Academy for Production Engineering) in 2020 and awarded the prestigious CIRP Taylor Medal in 2021.
Abstract
Additive Manufacturing (AM) holds immense promise for producing complex structures, particularly in the medical field where porous components with intricate geometries are often required. However, when designing and fabricating freeform porous structures, especially those with fine pore sizes under 200 μm, significant challenges arise. Traditional approaches to geometric modeling, slicing, and toolpath generation struggle with high computational costs, geometric accuracy loss, and, frequently, compromised manufacturability. To address these issues, we present a set of bottom-up data-driven toolpath-driven generative design methods tailored specifically for AM as well as newly developed pixel-driven design methods. These methods integrate toolpath planning directly into the design phase, enabling efficient handling of complex geometries in an implicit way while ensuring manufacturability. This talk will introduce these novel, home-developed approaches and demonstrate their application through a series of demanding industrial and medical case studies. Focus will be given to medical applications, showcasing how this methodology enables the successful realization of intricate, porous structures that were previously difficult or impossible to fabricate.
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