A numerical investigation of laminar mixed convection heat transfer in a shallow two-sided lid driven rectangular enclosure of aspect ratio 5, (AR=5) is executed. The natural convection effect is sustained by subjecting the bottom wall to a higher temperature than its top counterpart. In addition, the two horizontal walls of the enclosure are moving in different directions and the two vertical walls of the enclosure are kept insulate. Discretization of the governing equations is achieved through a finite volume scheme. Fluid flow and heat transfer characteristics are examined in the domain of the Richardson number and Grashof number as and while the bottom side of enclosure is moving in two different horizontal directions. The working fluid is assigned a Prandtl number of 0.7, 10 and 100 throughout this investigation. Temporal variations of streamlines, isotherms, and Nusselt number are presented in this investigation for various pertinent dimensionless groups. Manuscript profile

The constant growth of energy consumption, increased fuel costs, non-renewable fossil fuel sources, and environmental pollution caused by increased emission of greenhouse gases, and global warming highlight the need for the analysis and optimization of main energy generation bases, i.e. power plants. The Artificial Neural Network (ANN) is a useful novel method for better processing information and controlling, and optimizing and modeling industrial processes. For the first time in this study, an ANN was designed and applied to data extracted from modeling and analyzing a 60 MW combined heat and power generation power plant. To this end, the error backpropagation network was selected as the optimal network, and the generator load or capacity, condenser pressure, and Feedwater temperature were considered inputs to the ANN. The energy and exergy efficiencies of the power plant and the overall energy and exergy losses of the cycle were considered outputs of the ANN. The ANN was coded and designed with the help of MATLAB. The Genetic Algorithm (GA) was used to obtain the optimal values of input parameters and the minimum losses and maximum efficiencies based on the first and second laws of thermodynamics. Manuscript profile

Mixed convection of Cu-Water nanofluid is studied numerically in a shallow inclined enclosure by applying lattice Boltzmann method. The D2Q9 lattice and internal energy distribution function based on the BGK collision operator are used in order to develop the thermal flow field. The enclosure's hot lid has the constant velocity of U0 while its cold lower wall has no motion. Moreover, sidewalls are taken in to account as adiabatic ones. At 3 modes of convection heat transfer (free convection, force convection and mixed convection), the effects of volume fraction and inclination angle of enclosure are studied for different values of Reynolds number as equal to 10 and 100. Comparison of achieved results as like the streamlines, isotherms and profiles of velocity and temperature versus pervious available ones, implies the appropriate agreement. It is seen that more amount of volume fraction and enclosure inclination angle at the state of free convection would correspond to higher Nusselt number. The incomes of present work show the suitable performance of lattice Boltzmann method in order to simulate the nanofluid mixed convection in an inclined enclosure. Manuscript profile

In this research, effect of nanoparticles dimeter on free convection of aluminum oxide-water was investigated in a cavity by single phase and two phase models. The range of Rayleigh number is considered 105-107 in volume fractions of 0.01 to 0.03 for nanoparticles with various diameters (25, 33, 50 and 100 nm). Given that the two phase nature of nanofluids, necessity of modeling by this method is increasing. Single phase approach (in contrary of two phase) for nanofluids is based on that the behaviors of each two solid phase (nanoparticles) and liquid phase (base fluid) are completely similar. In this study, Eulerian-Eulerian approach and mixture model was used given that Brownian motion and thermophoresis effects. Brownian motion and thermophoresis creates under influences of volume fraction gradient and temperature gradient, respectively that cause to creating slip between nanoparticles and base fluid; thus, kind of non-uniformity creates on behavior between nanoparticles and base fluid. This non-uniformity leads to significant effects on results of two phase modeling that creates better agreement to single phase modeling with experimental results. Results indicate that heat transfer decreases with increasing diameter and volume fraction of nanoparticles. Also, effect of nanoparticle diameter on flow and heat transfer is tangible. Manuscript profile

Heat Transfer has special importance in engineering applications. So, researchers have suggested different new idea to increase heat transfer and using nanofluid is one of these methods In recent years, new methods have been used. One of these methods is the use of nanofluids, ., because nanofluids have higher heat transfer potential than base conventional fluids. In this investigation effect of suspended CuO nanoparticles with volume fraction of 0.005 into base water fluid is considered under turbulent flow regime inside double tube counter heat exchanger. It was observed that suspending pre-mentioned amount of nanoparticle augmentate heat transfer capability of conventional water fluid. On the other side, it leads to increase pressure drop and friction factor of water base fluid. Finally they conclude that positive effect of heat transfer augmentation is so stronger than negative effect of increasing pressure drop and friction factor that motivate to utilize this nanofluid in practical applications. Manuscript profile

Given the need to increase the efficiency of heat transfer in thermal systems, especially systems using nanofluids in microscale and nanoscale heat transfer equipment ideas to improve their performance is very good.In present study, the flow and heat transfer of Water-Cu nanofluid in micro-tube with slip regime with constant wall heat flux numerically simulated with low Reynolds numbers. Slip velocity and temperature jump boundary conditions are also considered along the microtube walls, for first time. The results are presented as the profiles of temperature and velocity. Nusselt number and pressure drop coefficient calculated in interance and full developed region. The effect of slip and using nano particle considerd.It is observed that Nusselt number increases with slip velocity coefficient and pressure drop coefficient decreases; att intrance region the Raynolds of flow has effect on Nusselt and pressure drop coefficient,too.Likewise observed nano particle adding to water has low effect to increases Nusselt number and pressure drop coefficientt. Manuscript profile

در تحقیق حاضر در مورد اثرات ارتفاع دندانه در میکروکانال دندانه‌دار دو بعدی، بر روی پارامترهای انتقال حرارت و دینامیک سیالات محاسباتی جریان آرام نانوسیال آب-اکسید آلومینیم است. بررسی‌های این تحقیق به صورت عددی با نرم افزار تجاری فلوئنت3/6 برای اعداد رینولدز10 و 100، برای چهار حالت مختلف ارتفاع دندانه انجام شده است. افزایش ارتفاع دندانه‌های داخلی یا مغشوشگرهای جریان، عملکرد انتقال حرارت جابجایی در میکروکانال را به میزان قابل توجهی افزایش می‌دهد. مشاهده می‌شود که نرخ انتقال حرارت در میکروکانال با افزایش ارتفاع دندانه و افزایش کسر حجمی نانو ذرات، بهبود می‌یابد. اما افزایش ارتفاع دندانه، باعث افزایش ضریب اصطکاک بزرگ‌تر در مقایسه با میکروکانال با ارتفاع دندانه ثابت است. در این تحقیق برای همه حالات مختلف ارتفاع دندانه، تأثیر ارتفاع دندانه بر روی پارامترهای جریان سیال بررسی شده است. نتایج در قالب پروفیل‌های سرعت و دما، عدد ناسلت و کانتورهای تابع جریان و خطوط هم دما ترسیم می-شوند...... Manuscript profile

This work presents a model for calculating the effective ‎thermal conductivity of nanofluids. The proposed model ‎includes the effects of nanoparticles and thermal conductivity ‎base fluid.We will focus on experimental of the volume ‎concentration parameter and temperature on thermal ‎conductivity, nano-fluid combination and Multi-Walled ‎Carbon nanotubes-Oxide / Copper-paid deionized Water. This ‎water-based nanofluids, For two-step volume fractions of the ‎‎0.1, 0.2, 0.6 Percentage produced And then, Effective thermal ‎conductivity is measured precisely. In order to measure the ‎thermal conductivity of nanofluids. To measure the thermal ‎conductivity coefficient in THW method, KD2-pro and KS1 ‎probe was used, also with the fluid significantly enhancement ‎shows in thermal conductivity coefficient. Also with the fluid ‎significantly enhancement shows in thermal conductivity ‎coefficient. In lower volume fractions we observed ‎significantly increase in thermal conductivity and receive high ‎degree thermal. Due to the lack of similar studies Due to the ‎lack of similar studies to comprehensively and inefficient of ‎classical thermal conductivity, In order to estimate the thermal ‎conductivity of nanofluids An empirical model that estimates ‎the thermal conductivity of nanofluids model with deviation ‎margin is very low Manuscript profile