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IEEE Trans Magn 49(5):1865–1868ĭănescu LP, Morega AM, Telipan G, Morega M, Dumitru JB, Marinescu V (2013) Magnetic nanofluid applications in electrical engineering. Jeong GY, Jang SP, Lee HY, Lee JC, Choi S, Lee SH (2013) Magnetic-thermal-fluidic analysis for cooling performance of magnetic nanofluids comparing with transformer oil and air by using fully coupled finite element method. IEEE Trans Dielectr Electr Insul 19(5):1502–1507 Mergos JA, Athanassopoulou MD, Argyropoulosand TG, Dervos CT (2012) Dielectric properties of nanopowder dispersions in paraffin oil. Pierce L (1992) An investigation of the thermal performance of an oil filled transformer winding. The maximum reduction in temperature increases to 13 K in magnetite nanofluid under the influence of electric and magnetic field while it remains unchanged in silica nanofluid. Further, the results of the parametric study show that nanofluid dispersed with the magnetite nanoparticles has higher reduction in maximum temperature ( \(\sim \) 11 K) followed by silica nanoparticles ( \(\sim \) 7.3 K) and quartz nanoparticles ( \(\sim 6\) K). The results of the complete analysis of the temperature and the velocity field distribution of nanofluid flow show an increased heat transfer in both the natural and forced convection the increase is relatively higher in former, in the light of thermophoresis effect and Brownian motion. The results show that in presence of the temperature gradient in a distribution transformer, the nanoparticle volume fraction greatly reduces near the heated wall and consequently modifies the net oil flow in the transformer, owing to reduction in oil viscosity near the heated wall. The effect of thermophoresis and Brownian motion is incorporated into the governing equations, thus giving the non-homogenous mathematical model for the nanofluid flow. This is nice if you're good with the Sentaurus Structure Editor, because it's script-driven and you can thus (if you can deal with ELK/SCHEME) do relatively complex structures like (in my example) a lumpy surface characterized by a particular autocorrelation function and randomized Fourier coefficients, but the parameterization provided by COMSOL's built-in structure model is really attractive for structure optimization.This paper presents an analysis of the heat transfer behavior of a three-phase distribution transformer filled with nanofluid. I was creating structures with Sentaurus Structure Editor, which exports AutoCAD-compatible SAT files which can be imported with the CAD import module. The example library is great but it tends to be on the complex side, like the complicated comb structure from Steve Senturia's book. That's a good question! It's straightforward enough to paste together geometric primitives, but when you get to best practices for creating global geometric entities, multiple instances, boolean combinations, adjustments like filleting and rounding, it would be nice to have simple examples, at least.