Direct simulation Monte Carlo aerosol dynamics: Collisional sampling algorithms

The computation of nuclear aerosol evolution is complicated, and a study of the direct simulation Monte Carlo (DSMC) technique to elucidate the role of various physical phenomena that influence the evolution has been undertaken. In our previous works, we explored important new directions by including most coagulation mechanisms like Brownian, gravitational, turbulence, and reduced the computation time using the Metropolis sampling algorithm for collisional sampling. In this paper, we further explore other sampling algorithms – the no time counter (NTC) and modified direct sampling algorithms. A comparison study on the four sampling algorithms – direct, the Metropolis, the NTC and modified direct sampling algorithms has been made and the results are discussed in this work. From the results, we are able to conclude that the Metropolis sampling algorithm can be used for the simulations as it provides more accurate results and is also time efficient in comparison to the NTC and modified direct sampling algorithms.