%0 Journal Article
%T Density-Matching for Turbomachinery Optimization Under Uncertainty
%A Pranay Seshadri
%A Geoffrey Parks
%A Shahrokh Shahpar
%J Mathematics
%D 2015
%I arXiv
%X A monotonic, non-kernel density variant of the density-matching technique for optimization under uncertainty is developed. The approach is suited for turbomachinery problems which, by and large, tend to exhibit monotonic variations in the circumferentially and radially mass-averaged quantities--such as pressure ratio, efficiency and capacity--with common aleatory turbomachinery uncertainties. The method is successfully applied to de-sensitize the effect of an uncertainty in rear-seal leakage flows on the fan stage of a modern jet engine.
%U http://arxiv.org/abs/1510.04162v1