Intro
In recent decades, computer modeling has become part of the everyday practice of engineers and scientists. A clear indication of this is the development of computational fluid dynamics (CFD), a discipline at the intersection of physics, mathematics, and information technology. The key task of CFD is to study and simulate the behavior of liquids and gases, relying on numerical methods and algorithms.
Our research covers a wide range of Computational Fluid Dynamics applications. Innovative solutions in this field help improve the efficiency and safety of technical systems and open up new opportunities for scientific discoveries.
Here, we would like to consider current trends and main achievements in CFD, familiarizing you with its fundamental principles and potential for innovations. Let us discuss how progress in computing and the development of new mathematical models expand the horizons of the use of application of CFD in mechanical engineering calculations and scientific research and review approaches and challenges faced by specialists in this multifaceted and dynamically developing field.
CFD Analysis for Preventing Cavitation
Applications of CFD in fluid mechanics are a valuable tool for investigating and preventing cavitation in hydraulic systems. CFD analysis makes it possible to predict areas of pressure drop where cavitation bubbles can be formed and optimize equipment design to minimize erosion and performance deterioration.
Fig. Erosion of the impeller due to the phenomenon of cavitation.
CFD and Its Various Applications. Calculations of Drum Furnaces.
The use of CFD modeling in the design of tubular rotary kilns allows for optimization of the internal burden mixing and simulation of material charging (DEM model, Discrete Element Method), calculating gas dynamics, drying, and sintering efficiency.
All this contributes to efficient fuel use, reduces emissions, and maintains uniform heating, which is critical for the quality of the resulting product.
Fig. Modeling of bauxite sintering. Rotation speed is 30 rpm.
Calculation of Continuous-Working Kilns
Computer modeling of coupled heat transfer of a furnace when using billet of different sections. Calculation of the optimal time stay of the billet inside the furnace at different flow rates, air, and gas spent on heating the furnace with varying gas compositions. The calculation takes into account the billet movement speed.
Fig. Temperature pattern in the vertical section of the furnace passing through a row of burners.
Simulation of Multiphase Flows
Modeling multiphase flows, such as molten metal, involves analyzing interactions of multiple phases within a system, like liquid and gaseous or liquid and solid phases.
Using computational fluid dynamics (CFD) methods, it is possible to study the dynamics of the flow of a metal melt during its forming or processing, optimize production parameters, and improve the final product quality.
Fig. Outflow of liquid hot metal from a tilting runner.
CFD Calculation of Dedusting Efficiency
In the metallurgical and power industries, CFD calculations are used to develop and optimize dedusting systems to capture harmful emissions, such as dust and gases, released during production.
In metallurgy, dedusting systems are used during metal smelting and blast furnace operations, where it is important to control airflow distribution to remove emissions effectively. CFD makes it possible to simulate these processes and obtain data on velocity and temperature distribution, concentration of pollutants in the working area, and filtration efficiency.
In the energy sector, where aspiration systems are often found at thermal power plants, CFD calculations help design exhaust gas systems to reduce atmospheric emissions, including SOX, NOX, and solid particles. With the help of CFD, you can accurately predict the behavior of flows in fludraft stacks and the efficiency of electric filters, scrubbers, and other installations for cleaning waste gases.
Using CFD to calculate dedusting systems can improve their efficiency, reduce the consumption of energy and materials for cleaning, and minimize the impact of these processes on the environment.
Fig. Catching emissions with a suction hood over a hot metal tap hole (with a cover). Distribution of the solid phase.
Fig. Catching emissions with a suction hood over a hot metal tap hole (with a cover). Vertical section view.
CFD Simulation in Aerodynamics
CFD (Computational Fluid Dynamics) modeling in aerodynamics is a numerical analysis method used to study air flows around objects. This approach allows engineers to predict the aerodynamic characteristics of airplanes, cars, gas turbine blades, and other objects without conducting physical experiments. It is based on a numerical solution of the Navier-Stokes equations describing liquid or gas movement. Using CFD modeling in aerodynamics makes it possible to optimize the shape of objects, improve their efficiency, and reduce the costs of developing new technologies in various industries.
Fig. Streamline of blast furnace air heater nozzle element.
Heat Transfer Modeling with the help of CFD
Heat transfer modeling using CFD makes it possible to analyze and predict heat transfer in various systems and optimize their performance and energy efficiency.
Almost all of our calculations are related to modeling heat transfer processes.
We perform calculations of coupled heat and mass transfer, such as the combustion process in a furnace and water cooling of tuyere stocks.
Fig. Cooling of a double-circuit tuyere stock, coupled heat exchange: tuyere stock inside a blast furnace.
Fig. Cooling of a double-circuit tuyere stock, coupled heat exchange: tuyere stock inside a blast furnace tuyere considering impingement of molten hot metal drops.
Pipe and Valve Calculations with CFD
Pipe and valve calculations using computational fluid dynamics (CFD) techniques enable engineers to study liquid and gas flows within transportation systems in detail. It makes it possible to optimize an extensive pipeline network (select optimal diameters), choose the most efficient types of valves, and predict flow parameters such as velocity, pressure, and temperature distribution. Such analyses help reduce pressure losses, increase reliability, and prevent risks of emergencies, which is especially important in industry, the energy sector, and many other branches.
Fig. Check gradients and free filling of the pipeline with water.
Turbomachinery Modeling with the Help of CFD
CFD modeling of turbomachinery is a computer method for analyzing and studying gas flows inside such turbo machines as turbines, compressors, and turbo-superchargers. Using this technology, engineers can learn flows in blade devices and the cooling of gas turbine blades without creating expensive physical prototypes.
Fig. Cooling a gas turbine blade. Temperature gradient in different blade sections
Combustion Simulation with CFD
Combustion modeling using computational fluid dynamics (CFD) methods makes it possible to study complex combustion processes in various systems, such as burners, furnaces and boilers, HBS combustion chambers, etc.
Combustion analysis with the help of CFD helps predict temperature distribution, concentration of various chemicals, burning rate, and other parameters, which is vital for optimizing combustion processes, increasing efficiency, and operating safety.
Using CFD for combustion modeling is necessary to develop new technologies to reduce emissions of harmful substances and negative environmental impacts.
Temperature in the near-wall layer of a blast furnace HBS (Dneprovsky Metallurgical Plant).
Fig. Temperature in the near-wall layer of a blast furnace HBS, tangential supply of a gas-air mixture (Dneprovsky Metallurgical Plant).
Fig. Mass fraction of natural gas, burner of the HBS combustion chamber.
Fig. Velocity gradient of the gas-air mixture in a vertical section.
Fig. The tuyere zone of a blast furnace in a vertical section. Combustion of natural gas with injection of pulverized coal fuel. The gas tube is located at the angle of 9 degrees.
Fig. Blast furnace tuyeres in horizontal section. Combustion of natural gas with injection of pulverized coal fuel. The gas tube is located at an angle of 9 degrees (unusual combustion front).
Which Process is More Efficient in Your Case? Find Out the Best Solution With Our Experts
M Heavy Technology Experience in Working with CFD Applications
M HEAVY TECHNOLOGY has extensive experience in providing CFD consulting services and holds a solid portfolio of completed projects. One of our successful projects implemented at the ArcelorMittal metallurgical plant is “Thermal calculation of a continuous-working furnace.”
This work aims to computer model the coupled heat transfer of the furnace when switching to a billet with a large cross-section of 100×100 mm, with known furnace parameters.
Fig. Simulation model of a furnace.
The calculation includes moving steel billets, the furnace bottom standing at an angle on forced-cooling beams, and joining loads.
The furnace consists of two sections, each heated by a row of burners (9 pieces). Gas composition for heating and gas and air consumption are indicated. Inside the furnace, combustion is simulated.
Billet heating was modeled over time as a coupled calculation considering radiative-convective heat transfer, heat loss with cooling water, and heat loss through the furnace walls. Calculations were performed various times, and all detailed results were transferred to the customers.
Fig. Convection temperature field in a vertical section of the furnace passing through a row of burners.
Fig. Velocity profile in a vertical section of the furnace passing through a row of burners.
Fig. Velocity vectors in the burner cross-section.
Fig.Temperature gradient of the billet, hearth, and lined furnace base at the end of heating after one hour.
Fig. Temperature gradient of the billet only, at the end of heating after one hour (the maximum temperature of the billet is 1125K or 852°C).
Fig. Mass fraction of oxygen residues in the furnace chamber.
Summary
Due to successful application of CFD today, engineers of leading companies predict the following trends:
✔️ Improvement of calculating accuracy and speed.
Development of computer technologies will allow for more efficient and accurate modeling of processes in liquids and gases.
✔️ Integration with other spheres.
CFD will be increasingly integrated with other fields of science and technology, such as solid mechanics, chemistry, biology, etc. It will provide the possibility to solve more complex and large-scale problems.
✔️ Development of new mathematical models.
Development of new mathematical models will enable us to more accurately describe various physical phenomena in liquids and gases and make modeling more realistic.
✔️ Expanding areas where computational fluid dynamics will be applied.
CFD will be increasingly used in various industries, such as aviation, car industry, power sector, medicine, etc. It will optimize processes and create more efficient and safe technologies.
✔️ Development of optimization methods.
Development of optimization methods based on CFD will automatize the design process and improve characteristics of various systems and devices.
M HEAVY TECHNOLOGY specialists are already providing high-quality Metallurgical Consulting Services using modern AI technologies and CFD.