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Drag01:23

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Drag is a resistive force opposing an object’s motion through a fluid, resulting from surface pressure and shear forces. It comprises two components: a perpendicular one from pressure and a tangential one from shear stress. Accurate drag calculations use pressure and wall shear stress distributions, often determined through Computational Fluid Dynamics (CFD) or wind tunnel testing. The drag coefficient, a dimensionless measure, depends on factors like shape, Reynolds number, Mach number,...
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The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
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Drag and Track: A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter

Daniel Orban, Daniel F Keefe, Ayan Biswas

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    This summary is machine-generated.

    Material scientists can now intuitively explore complex simulation data. This direct manipulation technique visualizes parameter relationships, aiding understanding and discovery in simulation ensembles.

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    Area of Science:

    • Materials Science
    • Computer Science
    • Data Visualization

    Background:

    • Understanding complex, high-dimensional simulation data is challenging.
    • Parameterized simulation sets (ensembles) require intuitive exploration tools.

    Purpose of the Study:

    • To develop a direct manipulation technique for exploring parameterized simulation data.
    • To enable material scientists to build intuition about dimensionally reduced data.
    • To facilitate creative exploration of parameter relationships within simulation ensembles.

    Main Methods:

    • Visualizing ensemble data in dimensionally reduced scatter plots.
    • Employing user-defined virtual data instances for direct manipulation searches.
    • Annotating reduced spaces with highlighted ensemble data instances via queries.

    Main Results:

    • Users can interactively highlight relevant simulation instances.
    • Custom illustrations are projected onto dimensionally reduced spaces.
    • Forward and inverse searches enable parameter space prediction and comparison.

    Conclusions:

    • The technique allows for user-defined understanding of continuous parameter spaces.
    • Expert feedback confirms the utility for shock physics and synthetic model analysis.
    • Direct manipulation enhances the exploration of complex simulation data.