You are invited to a seminar with two talks on advanced 3D printing with a focus on controlling shape and appearance.
Program:
10.00-11.00:
Controlling the appearance and deformation of objects 3D printed with fused filaments
Sylvain Lefebvre, Inria
11.00-12.00:
Space-time topology optimization for additive manufacturing
Jun Wu, TU Delft
Speaker: Sylvain Lefebvre
Title: Controlling the appearance and deformation of objects 3D printed with fused filaments.
Abstract:
This seminar will focus on how to design shapes and plates that exhibit specific behaviors thanks to a precise control of their fabrication process. Specifically, by orienting the deposition trajectories of a fused filament 3D printer, we introduce anisotropies that impact the observed properties of the final object. In one case, the orientations trigger anisotropic deformations under heat, allowing a plate to take a target curved shape. In the second case, the changes in deposition orientation trigger an anisotropic light reflectance, creating brushed-metal effects on the surface of the 3D printed object.
Both approaches rely on the optimization of oscillating fields, a topic we initially explored in the context of Computer Graphics, and that naturally evolved toward fabricating shapes with anisotropic structures.
"Shrink-and-morph"
-https://inria.hal.science/hal-04252044
- video:https://www.youtube.com/watch?v=YNufMqcDk5I
"Orientable Dense Cyclic Infill for Anisotropic Appearance Fabrication"
-https://xavierchermain.github.io/fdm_aa/
-https://youtu.be/aUDzZrlRnNU
Bio:
Sylvain Lefebvre is a senior researcher at Inria (France), where he leads the MFX team. His main research focus is on geometry modeling, processing and procedural synthesis in the context of additive manufacturing, most often targeting GPU algorithms. Together with his team Sylvain revisited many aspects of the 3D printing processing pipeline, introducing novel path planning techniques, novel support generation, novel infill methodologies based on procedural methods, adaptive slicing, varying width deposition and non-planar slicing. Sylvain received the EUROGRAPHICS Young Researcher Award in 2010. From 2012 to 2017 he was the principal investigator of the ERC ShapeForge (StG) and IceXL (PoC) projects. Sylvain is a recurring member of the EUROGRAPHICS, SIGGRAPH and SIGGRAPH Asia program committees and the EUROGRAPHICS paper advisory board. He was associate editor for TOG from 2012 to 2017 and served as program co-chair for EG (short papers and STAR), SMI and SGP (2024).He created and is the lead developer of the IceSL software for additive manufacturing, which regroups most of his team's research since 2012.
Speaker: Jun Wu
Title: Space-time topology optimization for additive manufacturing
Abstract: Additive manufacturing (AM) holds the promise to manufacture with less waste and energy, and to deliver the optimal quality for products ranging from customized medical implants to lightweight airplane parts. Computational design by means of topology optimization is considered as the key to reach the optimal quality. However, the quality of AM-produced parts is not solely determined by their structural design but also heavily influenced by the fabrication process used to create them. Currently, structural design and fabrication sequence planning are treated as separate, sequential tasks. Consequently, the actual quality of AM-produced components often falls short of the expected outcome set by optimized designs. Moreover, optimized designs may not even permit a feasible fabrication sequence, and must be manually adapted. This leads to compromised quality, substantial cost increases, and prolonged product development cycles.
In this presentation, I will share our recent research on the concept of concurrent structural design and process planning, which we refer to as "space-time topology optimization”. We introduce the time dimension to encode fabrication sequences, transforming structural design and fabrication sequence planning into a unified optimization problem in the space-time domain. I will illustrate the effectiveness of this framework by addressing critical issues in wire arc additive manufacturing, specifically focusing on minimizing thermal distortion in components during and after fabrication.
Bio:
Jun Wu is an associate professor at Delft University of Technology, the Netherlands. Before joining TU Delft in Sep. 2016, he was a HC Ørsted postdoc fellow at the Department of Mechanical Engineering, DTU Denmark. He obtained his PhD in Computer Science in 2015 from TU Munich, Germany, and a PhD in Mechanical Engineering in 2012 from Beihang University, China.
His research focuses on computational design and digital fabrication, with an emphasis on topology optimization (which is sometimes referred to as generative design). His work received best paper awards at international conferences including the Symposium on Solid and Physical Modeling in 2019, the World Congress of Structural and Multidisciplinary Optimization in 2019, and the inaugural International Congress of Basic Science in 2023. He received Young Investigator Awards from the Solid Modelling Association in 2021 and the International Society for Structural and Multidisciplinary Optimization in 2023. He is on the editorial board of Computer-Aided Design (Elsevier) and Structural and Multidisciplinary Optimization (Springer).