Equipment for advanced simulation and experiments of bubble dynamics

Abstract

This is a DURIP. Eric Johnsen, Steven L. Ceccio and Simo Makiharju, University of Michigan Naval engineers have long struggled to predict the onset and aggressiveness of cavitation and cope with the deleterious effects of erosion on lifting surfaces and within propulsors, e.g., propellers, rudders, hulls, waterjet pumps, etc. Using the requested equipment, the objective of the proposed research is to develop a unique integrated computational and experimental framework to visualize cavitation-bubble dynamics and measure pressures thereby generated, in support of the PIs’ current ONR projects. In particular, we will (i) implement new numerical techniques for massively parallel simulations of cavitating bubbles onto a Graphics Processing Units (GPUs) system and optimize in a controlled fashion multi-GPU parallel performance, and (ii) develop experimental diagnostics to highly accurately measure the pressure produced during bubble collapse using needle hydrophones and visualize the dynamics using x-ray tomography. The experimental data (pressure measurements, three-dimensional shape vs. time) will be used to validate the numerical codes by providing bubble morphologies and pressure measurements, as well as to provide calibration for appropriate initial conditions in the simulations. Then, simulations will be run to compute full field data and predict cavitation dynamics, while still ensuring that they match experimental results for the base problems. The requested resources will significantly enhance the quality of the PIs’ current ONR-supported research on cavitation. Such unprecedented capabilities will place the PIs and their research groups at the forefront of cavitation research in particular and fluid mechanics in general. The proposed resources will significantly contribute to research-related education, as graduate students will be setting up, developing and using the apparatus.

Document Details

Document Type
DoD Grant Award
Publication Date
Jun 03, 2016
Source ID
N000141612032

Entities

People

  • Eric Johnsen

Organizations

  • Board of Regents of the University of Michigan
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Computational Fluid Dynamics (CFD)
  • Marine Hydrodynamics
  • Research Science/Academic Research