Abstract
Computer Aided Design (CAD) is a multi-billion dollar industry used by
almost every mechanical engineer in the world to create practically every
existing manufactured shape. CAD models are not only widely available
but also extremely useful in the growing field of fabrication-oriented design
because they are parametric by construction and capture the engineer’s
design intent, including manufacturability. Harnessing this data, however,
is challenging, because generating the geometry for a given parameter
value requires time-consuming computations. Furthermore, the resulting
meshes have different combinatorics, making the mesh data inherently dis-
continuous with respect to parameter adjustments. In our work, we address
these challenges and develop tools that allow interactive exploration and
optimization of parametric CAD data. To achieve interactive rates, we use
precomputation on an adaptively sampled grid and propose a novel scheme
for interpolating in this domain where each sample is a mesh with different
combinatorics. Specifically, we extract partial correspondences from CAD
representations for local mesh morphing and propose a novel interpolation
method for adaptive grids that is both continuous/smooth and local (i.e., the
influence of each sample is constrained to the local regions where mesh
morphing can be computed). We show examples of how our method can be
used to interactively visualize and optimize objects with a variety of physical
properties.
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Paper
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Source Code
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Citation
Adriana Schulz, Jie Xu, Bo Zhu, Changxi Zheng, Eitan Grinspun, and Wojciech Matusik
Interactive Design Space Exploration and Optimization for CAD Models
ACM Transactions on Graphics 36(4)
@article{Schulz:2017,
author = {Schulz, Adriana and Xu, Jie and Zhu, Bo and Zheng, Changxi
and Grinspun, Eitan and Matusik, Wojciech},
title = {Interactive Design Space Exploration and Optimization for CAD Models},
journal = {ACM Transactions on Graphics},
year = {July 2017},
volume = {36},
number = {4},
}
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