Chemical Kinetic Uncertainty Minimization through Laminar Flame Speed Measurements Okjoo Park1, Peter S. Veloo2, Hai Wang1, Fokion N. Egolfopoulos1 1 Department of Aerospace and Mechanical Engineering University of Southern California, Los Angeles, California 90089-1453, USA 2 Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ 08544, USA Abstract One of the critical elements towards accurate predictions of combusting flows is to characterize and minimize the uncertainties associated with predictions of fundamental flame properties. Although the chemical kinetics and flame chemistry of C1-C4 hydrocarbons have been extensively studied, key uncertainties still exist. In this work, a large set of laminar flame speed data systematically collected for C1-C4 hydrocarbons with well defined uncertainties were used to illustrate how the well characterized flame speed data can be utilized to explore and reduce the remaining uncertainties in a reaction model for small hydrocarbons. USC Mech II was used as a sample model for that purpose. The method of uncertainty minimization using polynomial chaos expansions (MUM-PCE) was employed to constrain the model uncertainty not only in flame speed prediction but also in other flame properties. The work also explores the questions concerning the type of hydrocarbon fuels that have the greatest impact on model uncertainty reduction and the accuracy needed in the flame measurement to better facilitate model development.