[Preview] SliceHub: Augmenting Shared 3D Model Repositories with Slicing Results for 3D Printing
Faraz Faruqi, Kenneth Friedman, Leon Cheng, Michael Wessely, Sriram Subramanian, Stefanie Mueller
CHI'22: ACM Conference on Human Factors in Computing Systems
Session: Interactivity
Abstract
We demonstrate SliceHub, a system that allows users to explore different slicing configurations efficiently to find the one that best fits their time and material constraints. This system consists of three components: (1) a repository with an evolving database of 3D models, for which we store the print time and material consumption for various print resolution profiles and model scales, (2) a user interface integrated into an existing slicer that allows users to explore the slicing information from the 3D models, and (3) a computational infrastructure to quickly generate new slicing results, either through parallel slicing of multiple print resolution profiles and model scales or through interpolation. Through this system, we explore how existing shared 3D model repositories such as Thingiverse, can be augmented with slicing results to allow search based on factors such as print-time and material consumption. By having results for different print resolution profiles and model scales available in real-time, users can explore different slicing configurations efficiently to find the one that best fits their time and material constraints.
WEB:: https://programs.sigchi.org/chi/2022/program/content/72010
Presentation Video:: https://www.youtube.com/watch?v=be3iwtLFAOc
Video previews for CHI 2022 Interactivity