Guoliang Ding

TL;DR: Prospective methods for future simulation of refrigeration systems, such as noise-field simulation, simulation with knowledge engineering methodology and calculation methods for nanofluid properties, are introduced briefly.

TL;DR: In this paper, the migration characteristics of nanoparticles in the pool boiling process of both nanorefrigerant and nanorefsoil mixture were experimentally studied and numerically simulated, and the deviations between the model predictions and experimental data were in the range of 7.7-38.4%.

TL;DR: In this paper, the effect of nanoparticle size on nucleate pool boiling heat transfer of refrigerant/oil mixture with nanoparticles was investigated experimentally, and the experimental results indicate that the nucleate Pool boiling heattransfer coefficient of R113/oil with Cu nanoparticles is enhanced by a maximum of 23.8% with the decrease of nanoparticles size from 80 to 20 nm under the present experimental conditions, and this enhancement increases with the increase in nanoparticles/oil suspension concentration or the increase of nanop particles concentrations in the nanoparticles /oil suspension.

TL;DR: In this article, the authors proposed a model to predict the nanoparticles' aggregation and sedimentation characteristics by evaluating the concentration of nanoparticles in nanofluid at different time.

TL;DR: In this paper, two kinds of refrigerators are studied by the computational fluid dynamics (CFD) software Star-CD and experimental methods, and the calculated results show that the clearance between shelves and the back-wall and clearance between the shelves and door play an important role in temperature distributions.