The paper presents a numerical method called the TAB (Taylor Analogy Breakup) method for calculating droplet aerodynamic breakup in engine sprays. The authors, Peter J. O'Rourke and Anthony A. Aasden, provide a historical overview of the development of the stochastic particle method for calculating liquid fuel sprays, highlighting the recent importance of drop breakup in engine sprays. The TAB method is introduced, along with its theoretical properties and numerical implementation in the KIVA computer program. The method is compared with another breakup model used by Reitz and Diwakar, showing that the TAB method predicts similar results at low back pressures but gives larger drop sizes at higher back pressures. The paper also discusses the prediction of product drop sizes, normal product drop velocities, and spray angles, and presents computational results and comparisons with experimental data. The authors conclude that the TAB method has several advantages over previous methods and that further experiments are needed to refine its dimensionless constants.The paper presents a numerical method called the TAB (Taylor Analogy Breakup) method for calculating droplet aerodynamic breakup in engine sprays. The authors, Peter J. O'Rourke and Anthony A. Aasden, provide a historical overview of the development of the stochastic particle method for calculating liquid fuel sprays, highlighting the recent importance of drop breakup in engine sprays. The TAB method is introduced, along with its theoretical properties and numerical implementation in the KIVA computer program. The method is compared with another breakup model used by Reitz and Diwakar, showing that the TAB method predicts similar results at low back pressures but gives larger drop sizes at higher back pressures. The paper also discusses the prediction of product drop sizes, normal product drop velocities, and spray angles, and presents computational results and comparisons with experimental data. The authors conclude that the TAB method has several advantages over previous methods and that further experiments are needed to refine its dimensionless constants.