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Smart Manufacturing Series: Dr. Yayue Pan
November 15, 2024 @ 11:00 am - 12:00 pm
Additive Manufacturing of Functional Objects with Structural and Material Complexity
Abstract
By locally engineering internal and surface structures as well as material compositions, we can create objects with enhanced or even new functionality that surpass those of homogeneous parts. These functionalities can include preprogrammed capabilities such as sensing, bio-screening, and fluid manipulation, as well as programmable functions like robotic operations. However, fabricating heterogeneous objects with precise functionalities directly from digital models presents significant challenges in design, modeling, and process control.
In this talk, I will present our recent advancements in addressing these manufacturing challenges across various additive manufacturing methods. First, I will introduce our work in photopolymerization-based additive manufacturing, which enables the production of functional polymer and polymer composite objects featuring locally-engineered internal structures, hierarchical surface textures, and spatially varied material compositions. Following this, I will discuss an extrusion-based direct ink writing technique designed for high-speed (meters per second) fabrication of conductive patterns on rough surfaces. I will cover key aspects of materials and geometric design, process modeling, and control strategies, as well as the resulting properties and functionalities. Applications in soft robotics, flexible electronics, microfluidics, biomedical devices, and energy management will be showcased.
Bio
Dr. Yayue Pan’s research focuses on multi-material and multi-scale Additive Manufacturing processes for applications in sensing and actuating devices, functional films, energy management and storage. Dr. Pan holds a PhD degree from the University of Southern California. Some of her recent awards include 2020 ASME CIE Technical Committee Leadership Award, 2022 UIC Researcher of the Year Award, and 2024 ASME Chao and Trigger Young Manufacturing Engineer Award.
