FACE Gasoline Surrogates Formulated by an Enhanced Multivariate Optimization Framework

@article{Daly2018FACEGS,
  title={FACE Gasoline Surrogates Formulated by an Enhanced Multivariate Optimization Framework},
  author={Shane R. Daly and Kyle E. Niemeyer and William J. Cannella and Christopher L. Hagen},
  journal={Energy \& Fuels},
  year={2018},
  volume={32},
  pages={7916-7932}
}
Design and optimization of higher efficiency, lower-emission internal combustion engines are highly dependent on fuel chemistry. Resolving chemistry for complex fuels, like gasoline, is challenging. A solution is to study a fuel surrogate: a blend of a small number of well-characterized hydrocarbons to represent real fuels by emulating their thermophysical and chemical kinetics properties. In the current study, an existing gasoline surrogate formulation algorithm is further enhanced by… Expand
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