CFDLAND’s Post

💥 This can be the basis of Computational Fluid Dynamics (CFD). A must-read blog about fundamentals of fluid dynamics

Despite the significance of rough-wall turbulent flows in many engineering applications (e.g. leading-edge erosion of wind turbine blades), we need up-to-date review papers on the topic. However, Kadivar, Tormey, and McGranaghan (2021) give us just that—with more than 500 references spanning 175 years of research, they analyse past and recent flow studies over rough surfaces to improve our general understanding and identify gaps for future research. The paper first describes the classical division of the boundary layer into layers dominated by viscous or turbulent shear stresses and the classification of “smooth” and “rough” flow regimes using the concept of equivalent sand-grain roughness. It then outlines how roughness effects have historically been investigated experimentally and, more recently, numerically with high-resolution computational fluid dynamics (CFD). While our understanding of turbulent flows over rough surfaces is still far from comprehensive, the paper concludes that continual research and modern CFD methods, like DNS, are the pathway to improve our fundamental understanding of rough-wall flows. Get research summaries by email: https://lnkd.in/eDevB8E2   Mohammadreza Kadivar, David Tormey, and Dr. Gerard McGranaghan. 2021. “A Review on Turbulent Flow over Rough Surfaces: Fundamentals and Theories.” International Journal of Thermofluids 10 (May): 100077. https://lnkd.in/dEiSf9Hi. #windenergy #windpower #research #CFD #AndreasBechmann #windturbine #leadingedgeerosion #lercat

⚡Time Dependent CFD Simulation: Vortex Shedding⚡ Vortex shedding is a phenomenon, when the wind blows across a structural member, vortices are shed alternately from one side to the other, and where alternating low-pressure zones are generated on the downwind side of the structure giving rise to a fluctuating force. This phenomenon is of major importance in engineering design because the alternate formation and shedding of vortices also creates alternating forces, which occur more frequently as the velocity of the flow increases. Source: https://bit.ly/3nRj1Jr 📥 Latest newsletter: https://bit.ly/41N6Ixq #cfd #simulation #engineering #science

In open channel flows, hydraulic jumps represent a critical phenomenon for CFD simulations. These abrupt transitions occur when high-velocity flow encounters a zone of lower velocity. This rapid energy dissipation creates a turbulent zone with a characteristic rise in water surface level. Capturing the complex physics of the jump, including turbulence, interfacial phenomena, and energy transfer, is crucial for accurate simulations. Reliable CFD models for hydraulic jumps are essential for designing efficient spillways, stilling basins, and other hydraulic structures. The k-ε turbulence model is a popular choice for simulating hydraulic jumps in open channels due to its balance of accuracy and computational efficiency. However, it can struggle to capture the highly turbulent flow features within the jump zone. Recent research explores modifications or advanced turbulence models to improve predictions of the jump's characteristics like water surface profile and energy dissipation. This study includes a numerical model based on computational fluid dynamics to investigate the characteristics of hydraulic jumps on an open channel. It shows the contour for the volume fraction of water with a time step of 0.01 seconds and the final solution up to 40 seconds. #k_epsilon_model #CFD #hydraulic_jump #multi_phase_flows

"Excited to share my recent project on modeling and simulating a bubbling fluidized bed reactor" I delved into the complex dynamics of gas-solid interactions within this reactor, gaining valuable insights into its performance and optimization. This project allowed me to apply my skills in Modelling,research and CFD techniques. Key findings include visualization of hydrodynamics and heat transfer in Fluidized bed reactor and to can make sure that there is fairly turbulent flow and investigate bubbling formation. This project open new horizons about multiphase flow and how can we model it obtaining interaction effects between phases and new models that can handle this phenomena. Tip : make video on 0.5X 😅 #CFD #ANSYS #FluidizedBedReactor #ChemicalEngineering #Simulation #Modeling #MechanicalEngineering

⚡Time Dependent CFD Simulation: Vortex Shedding⚡ What is Vortex shedding in the first place? Vortex shedding is a phenomenon when the wind blows across a structural member, vortices are shed alternately from one side to the other, and where alternating low-pressure zones are generated on the downwind side of the structure, giving rise to a fluctuating force. This phenomenon is of major importance in engineering design because the alternate formation and shedding of vortices also create alternating forces, which occur more frequently as the velocity of the flow increases. Source: https://bit.ly/3nRj1Jr 📥 Latest newsletter: https://bit.ly/41N6Ixq #engineeredmind #science #technology #engineering #cfd #simulation

An exploration into rocket combustion stability by engineering CFD simulations

There’s still time to register for the microcredential course, Computational Fluid Dynamics (CFD) for Multiphase Flows! The goal of the course is to guide industrial CFD practitioners in rapidly expanding their capabilities into the multiphase realm. The course is open to anyone — Penn Staters and beyond. Learn more and register today ➡ https://lnkd.in/e5WeT8V8 #PennStateEngineering #STEMCareers #EngineeringJobs #ProfessionalDevelopment #PennStateAlumni #PennStateME

Heart of Fluid Dynamics Modeling: isoVelocity Elements. In Thermodynamics, Fluid Dynamics and Heat Transfer, isotherm and isobar concepts, conditions and regiones are well described and used, frequently, but what about isoVelocity? I would like to introduce you and discuss on this concept which is very important for understanding how from Newton 2nd Law " F=m*a " we develop fluid dynamics modeling, based on momentum shell balance ( https://lnkd.in/eg2i3Z9v ), towards full Navier Stokes and Computational Fluid Dynamics (CFD) Simulations. Terminology and definition of the parameters is very important for establishment and learning a scientific field, efficiently. Understanding iso-Velocity fluid elements concept, is indeed the first step that how we convert fluid body to many Solid-Like Elements, for which we can apply Newton 2nd law ( https://lnkd.in/dN6jRBFx ). Then we consider 4 types of forces (body force/gravity, friction/viscosity, momentum, and pressure) applied to the surface of fluid elements to estimate net of force, for finding acceleration , to predict the fluid flow properties and related convective phenomena. The Newton viscosity law for definition of shear stress term and viscose force become possible in this way. Even the source of mixing length theory for turbulence modeling and CFD simulations are developed in this way. Via attached video I tried to compare the importance of understanding IsoVelocity concept with isotherm region and surfaces in heat transfer modeling. In this way we can learn not only fluid dynamics, but also heat and mass transfer. This is why I love the Transport Phenomena Book of Byron Bird, that presents integrated teaching approach for fluid dynamics, heat and mass transfer (https://lnkd.in/esvWtDc3 ). Related educational clips: WAC Transport Phenomena Academy ( https://lnkd.in/dKZGymUT ) Nest Transport Phenomena Course: https://lnkd.in/ea59rdP8 Other Related Courses: https://lnkd.in/easMNVHu #fluiddynamics #fluidmechanics #heattransfer #aerodynamics #aerospace #thermalengineering #biomedicalengineering #drugdelivery #petroleumengineering #processengineering #environmentalengineering #Waterground #civil #CFD #computationalsimulation

🌊 Francis hydro turbine flow visualization 🌀. Explore the mesmerizing world of Francis Turbine simulation using CFD and FEA + FSI techniques with standard Navier-Stokes equations 🌪️. The simulation includes visualization of particle-like flow, which enhances the flow details 🌟. It's fascinating to watch imaginary particles enter the spiral approximately at the same time in two emissions and get gradually swallowed by the runner 🌪️🌀. Did you know that some particles stay in the turbine five times longer than the fastest ones? ⏳ This highlights the complexity of the flow dynamics in the turbine and the importance of accurately simulating and analyzing them 🤯. The simulation was performed by TCAE 🚀. 🔍 Full Case Study (download available): https://lnkd.in/d2bFs4Q 📺 YouTube video: https://lnkd.in/gYxNUUHg