Development and evaluation of a new turbulence generator for atomization research

Planar Mie scattering visualizations in compressible mixing layers are used to compute the probability density function of a passive scalar. Mixing layer flows with relative Mach numbers of 0.63 and 1.49 are studied. Ethanol condensation is used to generate both scalar transport seeding and product formation seeding. All PDFs exhibit a marching behavior. The condensation process in the product formation seeding is modeled to provide an estimate of the error embedded in the scalar transport PDFs. The mixing efficiency is found to be 0.56 in the product formation experiments, and the overprediction of mixing efficiency by the scalar PDFs is estimated to be 11% based on results from the ethanol condensation model.List of Symbols _291-01 Damköhler number based on - J droplet nucleation rate - k Boltzmann constant - m _c molecular mass of ethanol - M _r relative Mach number, M _r = 2U/(a₁ + a₂) - N ^* number of nucleated droplets - p(,) probability density function - P _d internal droplet pressure - P _m total mixed fluid probability - P _sat ethanol saturation partial pressure - P _v ethanol vapor partial pressure - r freestream velocity ratio, r=U ₂/U₁; droplet radius - r ^* critical nucleation radius - R gas constant for air - _291-2 Reynolds number based on - s freestream density ratio, s = ₂/₁ - T local static temperature - U ₁ high speed freestream velocity - U ₂ low speed freestream velocity - U _c large structure convection velocity, - U freestream velocity difference, U=U ₁–U₂ - x streamwise coordinate - y transverse coordinate - mixing layer thickness - _i incompressible mixing layer thickness - mixture fraction - similarity variable, = (y–y ₀)/ - _c condensed phase ethanol density - droplet surface tension