Statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. This paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. The thermal conductivity of nanofluids increases with the volume fraction and temperature. Machine learni...

This paper was aimed to address the modeling of effective thermal conductivity and viscosity of carbon structured nanofluids. Response surface methodology, D_optimal design (DOD) was employed to assess the main and interactive effects of temperature (T) and weight percentage (wt %) to model effective thermal conductivity and viscosity of multi wall and single wall carbon nanotube, CVD and RGO G...

In this article, modeling and optimization of power consumption of two–stage compressed air system has been investigated. To do so, the two – stage compressed air cycle with intercooler of FAJR Petroleum Company was considered. This cycle includes two centrifugal compressors, a shell, and a tube intercooler. For modeling of power consumption, actual compressors isentropic efficiencies and inter...

In this article, modeling and optimization of power consumption of two–stage compressed air system has been investigated. To do so, the two – stage compressed air cycle with intercooler of FAJR Petroleum Company was considered. This cycle includes two centrifugal compressors, a shell, and a tube intercooler. For modeling of power consumption, actual compressors isentropic efficiencies and inter...

many cell lines, when cultured under proper conditions, can form three dimensionalstructures called multicellular spheroids. these spheroids resemble in vivo tumor models in severalaspects. therefore, studying growth characteristics and behavior of spheroids is beneficial inunderstanding the behavior of tumors under various experimental conditions. in this work, we havestudied the growth proper...

in this study, a model for estimating the nfs thermal conductivity by using a gmdh-pnn has been investigated. nfs thermal conductivity was modeled as a function of the nanoparticle size, temperature, nanoparticle volume fraction and the thermal conductivity of the base fluid and nanoparticles. for this purpose, the developed network contains 8 layers with 2 inputs in each layer and also trainin...