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...

In this study, thermal performance across straight convecting- radiating fin with temperature dependent thermal conductivity is considered. The variation of parameters (VPM) is adopted to analyze the nonlinear higher order differential equations arising due to thermal conductivity and heat transfer coefficient on temperature distribution. Pertinent parameters such as thermo geometric and radiat...

This paper classifies green envelopes as green roofs and green walls according to effective factors, which were derived from literature to compare the green envelopes’ thermal and energy performance in a more effective way. For this purpose, an extensive literature review was carried out by searching keywords in databases and studying related journal papers and articles. The research meth...

An alternative model using support vector regression (SVR) based on dynamically optimized search technique with k-fold cross-validation, was proposed to predict the thermal–hydraulic performance of compact heat exchangers (CHEs). 48 experimental data points from the author’s own study were used in the present work. The performance of SVR with different regularization parameter c and kernel para...

Climate changes caused by global warming has presented challenges to human society. Studying the Changes of climate variables in the future decades by using output data’s of Atmosphere-Ocean Global Circulation Models (AOGCM) is a way of perusing climate fluctuation in a region. In this study, the focus is on the AOGCM proceeds in simulating of variable temperature in Ahwaz and Abadan stations. ...

Existing space-filling designs are based on the assumption that the experimental region is rectangular, while in practice this assumption can be violated. Motivated by a data center thermal management study, a class of probability-based Latin hypercube designs is proposed to accommodate a specific type of irregular regions. A heuristic algorithm is proposed to efficiently search for optimal des...

Temperature inversion is a transistor-level effect that can improve performance when temperature increases. It has largely been ignored in the past because it does not occur in the typical operating region of a processor, but temperature inversion is becoming increasing important in current and future technologies. In this paper, we study temperature inversion’s implications on architecture des...

Temperature-dependent dielectric properties (dielectric constant and dielectric loss factor) and thermal properties (thermal conductivity and specific heat capacity) of whey protein gel and mashed potato were measured from -20°C to 100°C. A dielectric properties measurement system and a multipoint temperature calibration protocol were developed. The system consists of an impedance analyzer, a h...

in this paper, two-dimensional heat transfer in a semi-infinite wall with fins of rectangular profile has been investigated. the conduction equations of the wall and fins are solved simultaneously by a numerical method. the principal parameters of the problem are the fin spacing, length, and fin-to-wall conductivity ratio. in this investigation, the effect of these parameters on two-dimensional...

This study deals with the three-dimensional flow of a chemically reacting magnetohydrodynamic Sisko fluid over a bidirectional stretching surface filled with the ferrous nanoparticles in the presence of non-uniform heat source/sink, nonlinear thermal radiation, and suction/injection. After applying the self-suitable similarity transforms, the nonlinear ordinary differential equations are solved...