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Time-accurate transient sensitivity analysis can be achieved lightning-fast, enabling in-depth reaction-mechanism studies.Much faster sensitivity analysis in 0-D closed, homogeneous reactors with more than 10X speed improvement.This new model better accounts for these heat-loss effects, which can be especially important for high-pressure flames. In addition to particle radiation, certain gas-phase species also radiate to the surroundings.Gas-radiation heat-transfer model in flames.Radiation heat transfer between the gas, particles and surroundings can have a significant effect. Particle radiation heat-transfer model in flames enables accurate prediction of the flame temperature when particles are present.The aggregation model allows tracking the degree of aggregation in addition to the primary particle size. The majority of particles generated by industrial processes are aggregates of primary particles. For particulate matter, focus on controlling particle sizes (as well as total mass) is one outcome of recent studies that show the detrimental impact of nanometer-scale particles to human health. Particle aggregation model for soot agglomeration as well as for industrial processes, such as production of titania (TiO 2). Emissions regulations continue to become more stringent concerning acceptable levels of NOx, UHC, and CO as well as Particulate Matter (PM).The model uses a discretized population balance and avoids excessive computational requirements compared to other particle-size prediction methods. Sectional model provides direct prediction of size distributions by dividing the particles into a finite number of size-based sections or “bins” and then tracking the population in each bin as particles grow or shrink due to kinetics and coagulation.
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