Imam Hossein University

TL;DR: In this article, the authors deal with the measurement of thermal conductivity of SWCNTs-MgO/EG hybrid nanofluids and the modeling of experimental data using artificial neural network (ANN).

TL;DR: In this article, a neural network with one hidden layer and four neurons has been used to estimate the viscosity of the aqueous nanofluid of TiO2 using experimental data.

TL;DR: The results of this investigation showed that silver nanoparticles could be synthesized by tuning significant parameters, while performing the synthesis procedure at optimum conditions leads to formsilver nanoparticles with 21nm as averaged size.

TL;DR: The results of TG analysis revealed that the main thermal degradation of nitrocellulose occurs in the temperature range of 190-210 degrees C, and the TG-DTA analysis of samples indicated that particle size of nitr cellulose could affect on its thermal stability and its decomposition temperature decreases by decreasing its particle size.

TL;DR: The thermal stability of four nitrocellulose samples containing various amount of nitrate groups was determined by differential scanning calorimetery (DSC) and simultaneous thermogravimetery-differential thermal analysis (TG-DTA) techniques, and showed that, as the heating rate was increased, decomposition temperature of the compound was increased.