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Quantitative Imaging of Turbulent Mixing Dynamics in High-Pressure Fuel Injection to Enable Predictive Simulations of Engine Combustion

Technical Report ·
DOI:https://doi.org/10.2172/1331503· OSTI ID:1331503
 [1];  [2];  [3];  [4];  [1];  [2];  [2];  [1];  [2];  [2]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States). Reacting Flows Dept.
  2. Sandia National Lab. (SNL-CA), Livermore, CA (United States). Engine Combustion Dept.
  3. Sandia National Lab. (SNL-CA), Livermore, CA (United States). Remote Sensing and Energetic Materials Dept.
  4. Sandia National Lab. (SNL-CA), Livermore, CA (United States). combustion Chemistry Dept.

In this LDRD project, we developed a capability for quantitative high - speed imaging measurements of high - pressure fuel injection dynamics to advance understanding of turbulent mixing in transcritical flows, ignition, and flame stabilization mechanisms, and to provide e ssential validation data for developing predictive tools for engine combustion simulations. Advanced, fuel - efficient engine technologies rely on fuel injection into a high - pressure, high - temperature environment for mixture preparation and com bustion. Howe ver, the dynamics of fuel injection are not well understood and pose significant experimental and modeling challenges. To address the need for quantitative high - speed measurements, we developed a Nd:YAG laser that provides a 5ms burst of pulses at 100 kHz o n a robust mobile platform . Using this laser, we demonstrated s patially and temporally resolved Rayleigh scattering imaging and particle image velocimetry measurements of turbulent mixing in high - pressure gas - phase flows and vaporizing sprays . Quantitativ e interpretation of high - pressure measurements was advanced by reducing and correcting interferences and imaging artifacts.

Research Organization:
Sandia National Laboratories (SNL-CA), Livermore, CA (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
AC04-94AL85000
OSTI ID:
1331503
Report Number(s):
SAND2015--8758; 615230
Country of Publication:
United States
Language:
English

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