|Author||Bächer, Moritz ♦ Bickel, Bernd ♦ Sorkine-Hornung, Olga ♦ Whiting, Emily|
|Source||ACM Digital Library|
|Publisher||Association for Computing Machinery (ACM)|
|Abstract||Spinning tops and yo-yos have long fascinated cultures around the world with their unexpected, graceful motions that seemingly elude gravity. Yet, due to the exceeding difficulty of creating stably spinning objects of asymmetric shape in a manual trial-and-error process, there has been little departure from rotationally symmetric designs. With modern 3D printing technologies, however, we can manufacture shapes of almost unbounded complexity at the press of a button, shifting this design complexity toward computation. In this article, we describe an algorithm to generate designs for spinning objects by optimizing their mass distribution: as input, the user provides a solid 3D model and a desired axis of rotation. Our approach then modifies the interior mass distribution such that the principal directions of the moment of inertia align with the target rotation frame. To create voids inside the model, we represent its volume with an adaptive multiresolution voxelization and optimize the discrete voxel fill values using a continuous, nonlinear formulation. We further optimize for rotational stability by maximizing the dominant principal moment. Our method is well-suited for a variety of 3D printed models, ranging from characters to abstract shapes. We demonstrate tops and yo-yos that spin surprisingly stably despite their asymmetric appearance.|
|Description||Affiliation: ETH Zurich, CS Department, Zurich, Switzerland (Sorkine-Hornung, Olga) || Institute of Science and Technology Austria, Klosterneuburg, Austria (Bickel, Bernd) || Disney Research, Zurich, Switzerland (Bächer, Moritz) || Dartmouth College, Hanover, NH (Whiting, Emily)|
|Age Range||18 to 22 years ♦ above 22 year|
|Education Level||UG and PG|
|Learning Resource Type||Article|
|Publisher Place||New York|
|Journal||Communications of the ACM (CACM)|
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