SmartUQ: Pushing the Boundaries of Engineering Analytics
As simulation, monitoring, and testing techniques become more sophisticated and produce increasing quantities of data,
the need for a powerful engineering analytics tool to accurately and efficiently extract information and insights from
the data has never been greater.
Statistical Calibration: Grounding Simulations in Reality
Unlike traditional calibration, SmartUQ’s statistical calibration considers the discrepancy between the simulation and
physical results which reduces bias and increases the model’s accuracy.
Uncertainty Quantification in 3D Printing
Deemed the “Third Industrial Revolution”, 3D printing appears to
have endless capabilities, but a key barrier prevents additive
manufacturing from reaching its full potential: uncertainty.
Quantifying Uncertainty for Manufacturing Variations
Manufacturing variations can be introduced from numerous sources such
as imprecise equipment, varied raw material properties, and heat
treatment processes. Variations lead to uncertain performance and
may result in compromised parts or decreased service life.
How Statistical Methods Can Help You Get More Out of Your Simulation Tools
This paper focuses on solutions to three major challenges in the
CAE design processes and how statistical methods are a powerful and
viable approach to meet these challenges.
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Analytics or Uncertainty Quantification Questions?