1407 Expanding the Frontiers of Engineering Design using Computation
Bernd Bickel, IST Austria
David Levin, University of Toronto
Adriana Schulz, Massachusetts Institute of Technology
Wojciech Matusik, Massachusetts Institute of Technology
The landscape of engineering design is rapidly evolving, driven by new manufacturing techniques, such as additive manufacturing, which allow for increased control of geometry and material properties from architectural- to micro-scale. This new-found control comes hand-in-hand with a number of challenges, as successfully exploiting it requires the rapid exploration of high-dimensional design spaces, while respecting non-linear design constraints and often performing in-loop design analysis. Given these difficulties, it is no wonder that this new wave of design problems often confound traditional workflows. This is because current Computer-Aided Design and Computer-Aided Engineering techniques are neither expressive enough nor efficient enough to allow a user to explore the entire gamut of designs enabled by modern manufacturing.
In this mini-symposium we will explore new computational methods for design, which seek to tackle these problems and unlock the full potential of new manufacturing hardware. Specifically, our symposium will focus on numerical methods for interactive and off-line design tools, methods which leverage big-data and machine learning approaches to explore high-dimensional, constrained design spaces, techniques for nonlinear design optimization and, fast, in-loop numerical simulation of material properties and design performance.
Our goal in presenting this topic at the World Congress of Computational Mechanics is to bridge the gap between the work being done in the Computational Mechanics community with the algorithmic explorations being performed in the Computer Science community. We believe that such an effort is necessary in order to advance the state-of-the-art in computational design and fabrication and realize the full potential of new fabrication hardware.
In this mini-symposium we will explore new computational methods for design, which seek to tackle these problems and unlock the full potential of new manufacturing hardware. Specifically, our symposium will focus on numerical methods for interactive and off-line design tools, methods which leverage big-data and machine learning approaches to explore high-dimensional, constrained design spaces, techniques for nonlinear design optimization and, fast, in-loop numerical simulation of material properties and design performance.
Our goal in presenting this topic at the World Congress of Computational Mechanics is to bridge the gap between the work being done in the Computational Mechanics community with the algorithmic explorations being performed in the Computer Science community. We believe that such an effort is necessary in order to advance the state-of-the-art in computational design and fabrication and realize the full potential of new fabrication hardware.
