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1. #M1 CHIP OUTPERFORMS COMPUTATIONAL FLUID DYNAMICS SOFTWARE#
2. #M1 CHIP OUTPERFORMS COMPUTATIONAL FLUID DYNAMICS PC#

According to their results, they concluded that the proposed scheme is easily adaptable, straightforward, and beneficial to solve nonlinear problems. The validation and effectiveness of this scheme have been determined using numerical examples for integer order and fractional problems. The fractional derivatives are expressed by Caputo fractional derivative operator. contemplated the Mohand decomposition scheme to examine the Kortewege–De Vries equations. Also, the Grashof number and Hall effects show a positive response to the temperature profile. In their proposed simulation, they noticed that magnetic effects produce resistance in the angular velocity, but enhances the temperature profile.

According to their study, they found that the primary velocity faces significant resistance during the flow. Analytical simulation with the help of homotopy analysis method has been proposed for the solutions. studied the behavior of couple stress fluid and non-isothermal convection with magnetic effects over a nonlinear sheet. According to the authors' simulation, it was shown that the magnetic field and temperature gradient have an inverse relationship. In the proposed study, it was found that higher convection occurs due to the great influence of shape factor. The proposed approach is beneficial for the two common schemes of CFD. Darcy law, thermal radiation, Lorentz force, and shape factor. The considered fluid model contains aluminum oxide nanoparticles. investigated the CVFEM simulation to determine the nanoparticle’s migration toward a permeable domain. The results show that the Dufour effect has a strong impact on the temperature profile and that the thermophoresis produces an inverse impact on the concentration profile as compared with the temperature profile. Further, the Keller-box technique has been used to simulate the results. This nonlinear model is beneficial to understand the mechanism of heat and mass transfer by contemplating various essential features of the proposed boundary layer. used Buongiorno model to discuss the Casson nanofluid boundary layer flow through an inclined surface under the impact of Dufour and Soret. We sincerely hope that this issue will be beneficial to the readers to present the recent findings in the field and shed some light on the industrial sector. The coupling between CFD and other disciplines required further research, therefore, the main goal of this issue is to fill an essential gap that is greatly missed in this field. However, it is completely incorrect to think that CFD describes a mature technology, there are numerous open questions related to heat transfer, combustion modeling, turbulence, and efficient solution methods or discretization methods, etc. Large scale simulations in different fluid flow on grids containing millions and trillions of elements can be achieved within a few hours via supercomputers.

#M1 CHIP OUTPERFORMS COMPUTATIONAL FLUID DYNAMICS PC#

Due to the recent advancement in computer technology, numerical simulation for physically and geometrically complex systems can also be evaluated using PC clusters.

#M1 CHIP OUTPERFORMS COMPUTATIONAL FLUID DYNAMICS SOFTWARE#

Numerous numerical Algorithm and software have been developed to perform CFD analysis. Moreover, it is beneficial in astrophysics, biology, oceanography, oil recovery, architecture, and meteorology. car design, turbomachinery, ship design, and aircraft manufacturing. Nowadays, CFD techniques are usually applied in various fields i.e. Also, It is efficient in exploring the system’s performance metrics, whether it is for the yielding higher profit margins or in enhancing operational safety, and in various advantageous features. CFD is powerful in examining a system’s behavior, beneficial, and more innovative in designing a system. CFD helps replace these differential equations of fluid flow into numbers, and these numbers are beneficial in time and/or space which enable a numerical picture of the complete fluid flow. The solutions and interactive behavior of solid boundaries with fluid or interaction between the layers of the fluid while flowing are visualized using some CFD techniques. Mathematical equations, which are usually in the form of partial differential equations, portrayed the fluid behavior in the flow domain. These flow problem can be described in terms of these basic laws. The three basic principles that can determine the physical aspects of any fluid are the i) energy conservation, ii) Newton’s second law, and the iii) mass conservation. Editorial on the Research Topic Recent Trends in Computational Fluid DynamicsĬomputational fluid dynamics (CFD) can be described as the set of techniques that assist the computer to provide the numerical simulation of the fluid flows.