In modern nanoparticle production methods, such as inert-gas evaporation, a
strong effort is made to avoid coagulation of particles. Therefore, the cl
assical coagulation models are not suitable for predicting the particle siz
e distribution. This paper presents a new model that explains lognormal par
ticle size distributions from first principles in a physically realistic wa
y, without coagulation. The model is completely different from the previous
ly applied growth models; it is based on a random residence time approach,
where the time available for the particles to grow is random and determines
the size distribution. The model is generally relevant in fields such as n
anoparticle physics, aerosol science, environmental science and fractal gro
wth, whenever particle growth occurs during transport through a growth zone
due to diffusion and drift. Predictions made from the model agree with pub
lished experimental data obtained with the inert-gas evaporation technique.
(C) 1999 Acta Metallurgica Inc.