SimJEB: Simulated Jet Engine Bracket Dataset
- URL: http://arxiv.org/abs/2105.03534v1
- Date: Fri, 7 May 2021 23:24:21 GMT
- Title: SimJEB: Simulated Jet Engine Bracket Dataset
- Authors: Eamon Whalen, Azariah Beyene, Caitlin Mueller
- Abstract summary: This paper introduces the Simulated Jet Engine Bracket dataset (SimJEB)
SimJEB is a new, public collection of crowdsourced mechanical brackets and high-fidelity structural simulations.
The models in SimJEB were collected from the original submissions to the GrabCAD Jet Engine Bracket Challenge.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Recent advancements in geometric deep learning have enabled a new class of
engineering surrogate models; however, few existing shape datasets are
well-suited to evaluate them. This paper introduces the Simulated Jet Engine
Bracket Dataset (SimJEB): a new, public collection of crowdsourced mechanical
brackets and high-fidelity structural simulations designed specifically for
surrogate modeling. SimJEB models are more complex, diverse, and realistic than
the synthetically generated datasets commonly used in parametric surrogate
model evaluation. In contrast to existing engineering shape collections,
SimJEB's models are all designed for the same engineering function and thus
have consistent structural loads and support conditions. The models in SimJEB
were collected from the original submissions to the GrabCAD Jet Engine Bracket
Challenge: an open engineering design competition with over 700 hand-designed
CAD entries from 320 designers representing 56 countries. Each model has been
cleaned, categorized, meshed, and simulated with finite element analysis
according to the original competition specifications. The result is a
collection of diverse, high-quality and application-focused designs for
advancing geometric deep learning and engineering surrogate models.
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