Nuclear Magnetic Resonance Velocity Distributions in Ultrasonically Vibrated Granular Beds

Nuclear magnetic resonance imaging experiments measured velocity distributions in fluidized granular beds of mustard grains. The dataset includes measurements of granular temperature and packing fraction variation with height across a range of ultrasonic vibration frequencies, amplitudes, and grain counts. The research was conducted by Jonathan M. Huntley and published in 2020.

Use Cases

• Analyze the relationship between vibration frequency and granular temperature to test classical hard-sphere energy flux models.
• Model the variation of packing fraction with height under different vibration amplitudes and grain numbers.
• Use measured granular temperature and packing fraction data to validate numerical simulations of grain-wall interactions with Hertzian contact stiffness.

Strengths

• Data originates from controlled nuclear magnetic resonance imaging experiments on a specific physical system.
• Experiments systematically varied key parameters: vibration frequency, amplitude, and number of grains.
• Dataset is associated with published research demonstrating novel findings on soft-sphere boundary conditions.

Limitations

• Specific data volume, granularity, and file format are not detailed in the provided metadata.
• The dataset is focused on a specific experimental setup (mustard grains, ultrasonic vibration), limiting generalizability to other granular materials or excitation methods.
• Data recency is unknown; the last platform update was in June 2020.

Provenance

Source

Dryad digital repository.

Collection Method

Nuclear magnetic resonance imaging experiments on vibrated granular beds.

Freshness

Last updated on the platform in 2020-06-30.