A computationally efficient monodisperse particle dynamics–computational fluid dynamics simulation is developed to predict soot particle growth in flames without use of reaction kinetic models. The proposed model is in good agreement with soot volume fraction and mobility size measurements, demonstrating a level of accuracy comparable to that of sectional models. This model can be readily used for design applications of engines and industrial burners.

Clouds in cold regions affect climate and precipitation, but their behavior depends on rare airborne particles that help ice form. We measured these particles over several months in a Finnish forest and compared them with many environmental observations. We found that ice formation in winter was largely unpredictable, while in spring and summer it was more strongly linked to particle amount and composition. This shows that local conditions are needed to better represent clouds in climate models.

This paper presents the very first measurements of droplet and particle sizes and concentrations through the parts of an elastic light scatter detector. Measurements were made using two instruments, phase Doppler particle anemometry and an aerodynamic aerosol classifier, to resolve the size distribution of volatile particles upstream and dried particles downstream. The final measurements are used in a companion paper comparison with simulations.

The paper presents a model for the atomization and evaporation of a stream of solvents containing less volatile analytes through a system, designed to detect the final dried particles using elastic scatter, called elastic light scatter detector. The results of simulations of the total particle concentrations, as well as the final light scattered signals, are compared to experiments for validation. This is the first set of simulations of this detection device.

The dynamics of how tyre wear particles behave prior to their entrainment are still poorly understood. In wind tunnel experiments, the particle detachment from an idealized glass substrate was monitored. For particle sizes above 80 μm, smaller and more rounded particles were mobilized by wind shear first, whereas larger and more angular particles require stronger wind shear, highlighting strong surface adhesion and particle morphology as the major factors influencing microplastic detachment.