Paper presented to the 10th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics, Florida, 14-16 July 2014.
Small particles could be as active agents interact with not
only velocity field but also temperature field. Understanding
and prediction of heat transfer between particle-laden turbulent
flow and adjacent wall are of great interest in both applications
and fundamentals. In this work, we employ direct numerical
simulation and simultaneous Lagrangian tracking to study the
influence of inertial particle with different particle thermal
response time on heat transfer in particle-laden turbulent
channel considering particle–turbulence momentum and energy
interaction. As a result, the thermal feedback of the particle has
always positive contribution to turbulent heat transfer and the
thermal feedback effect gradually strength as the particles
specific heat capacity increases.
Scheepers, Christiaan(University of Pretoria, 2018)
An exploratory analysis in low-dimensional objective space of the vector evaluated particle swarm optimization (VEPSO) algorithm is presented. A novel visualization technique is presented and applied to perform the exploratory ...
Harrison, Kyle Robert; Ombuki-Berman, Beatrice M.; Engelbrecht, Andries P.(Springer, 2018-10)
This paper examines the position update equation of the particle swarm optimization (PSO) algorithm, leading to the proposal of a simplified position update based upon a Gaussian distribution. The proposed algorithm, ...
Cleghorn, Christopher Wesley; Scheepers, Christiaan; Engelbrecht, Andries P.(Springer, 2018-10)
At present particle swarm optimizers (PSO) designed for multi-objective optimization have undergone no form of theoretical stability analysis. This paper derives the sufficient and necessary conditions for order-1 and ...