This training episode focuses on simulating the interaction between water flow and bridge pillars using ANSYS Fluent’s Volume of Fluid (VOF) model. The VOF method is particularly well-suited for this scenario as it excels at capturing the interface between two immiscible fluids, in this case, water and air. Key aspects covered in this simulation: VOF model setup: Configuring the VOF model to simulate the free surface flow around the bridge pillars. This includes setting up phase interactions, defining primary and secondary phases, and specifying surface tension effects if applicable. Boundary conditions: Defining inlet, outlet, and wall conditions to represent realistic river flow. This may include velocity inlet for water, pressure outlet, and no-slip conditions for the pillars and riverbed. Turbulence modeling: Selecting and setting up a suitable turbulence model for external flows, such as k-epsilon or k-omega SST, and adjusting turbulence parameters for multiphase flow. Solution methods: Choosing appropriate discretization schemes and algorithms for pressure-velocity coupling in the context of VOF simulations. Transient simulation setup: Configuring time-step sizes, number of time steps, and convergence criteria for the time-dependent simulation to capture the dynamic behavior of water around the pillars. Initialization and calculation: Properly initializing the simulation and running it to achieve a converged solution. Post-processing: Analyzing results such as water surface elevation, velocity profiles, and pressure distribution on the pillars. This includes creating meaningful visualizations of the free surface and flow patterns. Vortex shedding analysis: Observing and quantifying vortex shedding phenomena behind the pillars using appropriate post-processing techniques. This simulation provides valuable insights into hydraulic loads on bridge structures, scour potential around pillars, and overall flow patterns in rivers with obstructions. Participants will gain hands-on experience in applying the VOF model to a complex external flow problem, enhancing their skills in multiphase CFD simulations using ANSYS Fluent, with a focus on model setup, solution strategies, and result interpretation.

This training episode delves into the simulation of a stepped spillway using ANSYS Fluent’s Volume of Fluid (VOF) model. Stepped spillways are crucial hydraulic structures in dam engineering, designed to dissipate energy and control water flow. The VOF method is ideal for this scenario as it accurately captures the complex free-surface flow and air entrainment characteristic of stepped spillways. Key aspects covered in this simulation: VOF model setup: Configuring the VOF model to simulate the interaction between water and air over the stepped spillway. This includes defining primary and secondary phases, and setting up phase interactions. Boundary conditions: Establishing appropriate inlet, outlet, and wall conditions to represent realistic spillway flow. This may involve velocity or mass flow inlet for water, pressure outlet, and no-slip conditions for the spillway steps. Turbulence modeling: Selecting and configuring a suitable turbulence model (e.g., k-epsilon or k-omega SST) to accurately capture the highly turbulent nature of the flow over steps. Air entrainment modeling: Implementing techniques to account for air entrainment, which is crucial for energy dissipation in stepped spillways. Transient simulation setup: Configuring time-step sizes and number of time steps to capture the dynamic behavior of water flow over the steps, including potential hydraulic jumps and flow regime transitions. Solution methods: Choosing appropriate discretization schemes and algorithms for pressure-velocity coupling, crucial for maintaining stability in this complex free-surface flow. Initialization and calculation: Properly initializing the simulation and running it to achieve a converged solution, potentially using adaptive time-stepping techniques. Post-processing and analysis: Examining results such as water surface profiles, velocity distributions, pressure on steps, and energy dissipation rates. This includes creating visualizations to illustrate flow patterns and air entrainment. Performance evaluation: Assessing the spillway’s efficiency in terms of energy dissipation and comparing results with empirical formulas or experimental data if available. This simulation offers insights into the hydraulic performance of stepped spillways, aiding in their design and optimization. Participants will enhance their skills in applying the VOF model to a challenging hydraulic engineering problem, focusing on advanced setup techniques, solution strategies, and interpretation of results for free-surface flows with significant air entrainment.

This tutorial explores the simulation of a waterfall using ANSYS Fluent’s Volume of Fluid (VOF) model. Waterfall simulations present a unique challenge in CFD due to the complex interaction between water and air, making the VOF method particularly suitable for capturing the free-surface flow dynamics. Key aspects covered in this simulation: VOF model configuration: Setting up the VOF model to accurately represent the water-air interaction. This includes defining water and air as primary and secondary phases, and configuring phase interactions. Boundary conditions: Establishing appropriate inlet, outlet, and wall conditions to simulate the waterfall flow. This may involve velocity inlet for water, pressure outlet for the air domain, and no-slip conditions for solid surfaces. Turbulence modeling: Selecting and configuring a suitable turbulence model (such as k-epsilon or k-omega SST) to capture the highly turbulent nature of waterfall flow. Solution methods: Choosing appropriate discretization schemes and algorithms for pressure-velocity coupling to ensure stability and accuracy in this challenging free-surface flow scenario. Initialization and calculation: Properly initializing the simulation and running it to achieve a converged solution. Post-processing and visualization: Analyzing results such as water surface profiles and velocity distributions. This includes creating compelling visualizations to illustrate the waterfall dynamics. Air entrainment analysis: Examining the extent and distribution of air entrainment in the plunge pool, which is crucial for understanding energy dissipation. Plunge pool dynamics: Investigating the flow patterns and turbulence characteristics in the plunge pool at the base of the waterfall. This simulation provides insights into the complex fluid dynamics of waterfalls, which can be applied to various fields including environmental engineering, landscape design, and hydropower. Participants will gain advanced skills in applying the VOF model to a visually striking and physically complex scenario, enhancing their ability to handle challenging free-surface flows with significant phase interaction.

This CFD simulation explores the complex process of pipeline pigging in the oil and gas industry using ANSYS Fluent’s Volume of Fluid (VOF) model. Pipeline pigging involves sending a device (pig) through a pipeline to perform various maintenance operations. The VOF method is particularly suitable for this simulation due to its ability to capture the interface between multiple fluids and their interaction with the moving pig. Key aspects of this simulation include: VOF Model Setup: Configuring the VOF model to accurately represent the multiphase flow, including oil, gas, and potentially debris or water. This involves defining primary and secondary phases and setting up phase interactions. Moving Mesh Method: Implementing a moving mesh technique to simulate the pig’s movement through the pipeline. This approach allows for accurate representation of the pig’s motion and its effects on the fluid flow. Boundary Conditions: Defining appropriate inlet and outlet conditions for the pipeline, as well as the interface between the moving pig and the fluid phases. Turbulence Modeling: Selecting and configuring a suitable turbulence model to capture the complex flow patterns around the moving pig and in its wake. Transient Simulation: Setting up the time-dependent aspects of the simulation to capture the pig’s movement and its effects on fluid flow. Post-processing and Analysis: Examining results such as pressure differentials across the pig, fluid velocity profiles, phase distribution, and potential cleaning efficiency. This includes creating visualizations to illustrate the flow patterns and phase separation. Performance Evaluation: Assessing the impact of the moving pig on flow characteristics, including potential pressure drops and changes in phase distribution. This simulation provides valuable insights into the fluid dynamics around a moving pig in a pipeline, helping to understand flow patterns, pressure changes, and phase behavior. Participants will gain skills in applying the VOF model to a complex industrial application, focusing on multiphase flow behavior with a moving object and interpretation of results in the context of pipeline operations.

This CFD simulation explores the complex dynamics of open-channel two-phase flow in rough rivers using ANSYS Fluent, combining the Volume of Fluid (VOF) model with the Open Channel Flow model. This approach allows for accurate representation of the water-air interface and specialized treatment of open channel hydraulics, while handling the complex geometry of rough river beds. Key aspects of this simulation include: VOF and Open Channel Model Setup: Configuring both the VOF model to represent the water-air interface and the Open Channel Flow model to capture specific open channel hydraulics. This involves defining water and air phases, setting up phase interactions, and specifying open channel parameters. Rough River Bed Modeling: Incorporating the rough geometry of the river bed into the simulation domain, potentially using detailed topographical data or simplified roughness models. Boundary Conditions: Defining appropriate inlet and outlet conditions for the river flow, considering both VOF and open channel model requirements. This includes specifying the interface between the rough bed and the fluid phases. Turbulence Modeling: Selecting and configuring a suitable turbulence model to capture the complex flow patterns caused by the rough bed and the free surface in an open channel context. Steady-State Approach: Setting up the simulation to capture the equilibrium state of the flow, focusing on the stable configuration of the water-air interface and flow patterns in the open channel. Post-processing and Analysis: Examining results such as water surface profiles, velocity distributions, turbulence characteristics, and potential areas of air entrainment. This includes creating visualizations to illustrate the flow patterns and free surface behavior specific to open channel flows. Performance Evaluation: Assessing the impact of bed roughness on flow characteristics, including changes in water depth, velocity profiles, and turbulence intensity under steady-state conditions in the open channel configuration. This simulation provides valuable insights into the behavior of open-channel flows in natural river systems, helping to understand the influence of bed roughness on flow patterns, turbulence, and free surface dynamics in equilibrium conditions. Participants will gain skills in applying both the VOF and Open Channel Flow models to a complex environmental flow scenario, focusing on multiphase flow behavior in irregular geometries and interpretation of steady-state results in the context of river hydraulics and sediment transport.

This CFD simulation explores the dynamic process of water discharge from a rotating tank using ANSYS Fluent’s Volume of Fluid (VOF) model. The VOF method is particularly suitable for this transient simulation due to its ability to capture the evolving free surface between water and air, as well as handle the rotating motion of the tank during the discharge process. Key aspects of this simulation include: VOF Model Setup: Configuring the VOF model to accurately represent the changing water-air interface throughout the discharge process. This involves defining water and air as primary and secondary phases, and setting up phase interactions. Rotating Reference Frame: Implementing a rotating reference frame to simulate the tank’s rotation. This approach allows for accurate representation of the centrifugal forces acting on the fluid as it discharges. Discharge Outlet Modeling: Incorporating the discharge outlet geometry into the simulation domain, ensuring proper representation of the flow exit point and its interaction with the rotating fluid. Transient Simulation: Setting up the time-dependent aspects of the simulation to capture the dynamic nature of the discharge process, including the changing water level, evolving free surface, and varying discharge rates over time. Boundary Conditions: Defining appropriate time-dependent boundary conditions for the tank walls, free surface, and discharge outlet. Special attention is given to the interface between the rotating tank and the stationary outlet. Turbulence Modeling: Selecting and configuring a suitable turbulence model to capture the complex, time-varying flow patterns caused by the rotation and discharge process. Post-processing and Analysis: Examining time-dependent results such as water surface profiles, velocity distributions, pressure fields, and discharge rates. This includes creating animations and time-series visualizations to illustrate the evolving flow patterns, free surface behavior, and discharge characteristics. Performance Evaluation: Assessing the impact of rotation speed on discharge rate, water surface shape, and overall flow characteristics over the course of the discharge process. This simulation provides valuable insights into the transient behavior of rotating tank systems during discharge, helping to understand the influence of centrifugal forces on fluid motion and time-varying discharge processes. Participants will gain skills in applying the VOF model to a complex, time-dependent rotating flow scenario, focusing on multiphase flow behavior in rotating reference frames and interpretation of transient results in the context of tank discharge operations. The training will enhance understanding of how rotation affects fluid behavior and discharge characteristics over time, which has applications in various industrial processes and equipment design.

This CFD simulation training explores agricultural drone spraying using ANSYS Fluent’s Eulerian multiphase flow model. The focus is on simulating the interaction between air and spray droplets in a field environment. Key aspects of this simulation include: Eulerian Multiphase Model Setup: Configuring the Eulerian model for the air-droplet system. Air is defined as the primary continuous phase and spray droplets as the secondary dispersed phase. Simulation Domain: Using a pre-defined domain representing a section of an agricultural field. Spray Nozzle Configuration: Defining spray characteristics at nozzle outlets, including flow rates and droplet size distributions. Boundary Conditions: Setting up appropriate boundary conditions for the simulation domain. Turbulence Modeling: Configuring a suitable turbulence model for the air-droplet system. Transient Simulation: Setting up time-dependent aspects to capture the spraying process dynamics. Post-processing and Analysis: Examining spray dispersion patterns, droplet trajectories, and deposition rates. This simulation provides insights into agricultural spraying dynamics using the Eulerian multiphase approach. Participants will gain skills in applying this model to simulate spray behavior in an open field environment, focusing on the interactions between air and spray droplets.

This CFD simulation training explores the steady-state flow dynamics within a cascade using ANSYS Fluent’s Eulerian multiphase flow model. The focus is on simulating the interaction between water and air phases in the cascade environment under steady conditions. Key aspects of this simulation include: Eulerian Multiphase Model Setup: Configuring the Eulerian model for the water-air system. Water is defined as the primary continuous phase and air as the secondary dispersed phase. Simulation Domain: Utilizing a pre-defined cascade geometry, typically representing a section of a hydroelectric system or water feature. Phase Interaction: Defining the interface between water and air, including surface tension effects and momentum exchange. Turbulence Modeling: Implementing an appropriate turbulence model to capture the complex, multiphase flow patterns in the cascade. Boundary Conditions: Setting up inlet and outlet conditions, as well as wall treatments for the cascade structure. Free Surface Modeling: Capturing the steady-state free surface between water and air as it flows through the cascade. Post-processing and Analysis: Examining flow patterns, air bubble distribution, velocity profiles, and pressure distributions throughout the cascade. This simulation provides insights into the steady-state multiphase flow behavior in cascades, with applications in hydropower systems and water feature design. Participants will gain skills in applying the Eulerian multiphase model to simulate complex water-air interactions in a structured flow environment under steady-state conditions.

This CFD simulation training explores the behavior of nanofluid in a heat source channel using ANSYS Fluent’s Mixture multiphase model. The focus is on simulating the flow and heat transfer characteristics of a nanofluid mixture, consisting of a base fluid and nanoparticles, in a channel with a heat source. Key aspects of this simulation include: Mixture Multiphase Model Setup: Configuring the Mixture model for the nanofluid system. The base fluid is defined as the primary continuous phase, and the nanoparticles as the secondary dispersed phase. Simulation Domain: Utilizing a pre-defined channel geometry with an integrated heat source. Phase Properties: Defining the properties of both the base fluid and nanoparticles, including density, specific heat, and thermal conductivity. Mixture Properties: Calculating effective properties of the nanofluid mixture based on the volume fraction of nanoparticles. Heat Transfer Modeling: Implementing energy equations to capture heat transfer from the source to the nanofluid mixture. Boundary Conditions: Setting up inlet, outlet, and wall conditions, including the heat source specifications. Turbulence Modeling: Selecting and configuring an appropriate turbulence model for the nanofluid flow. Post-processing and Analysis: Examining temperature distributions, velocity profiles, nanoparticle concentration patterns, and heat transfer coefficients along the channel. This simulation provides insights into the enhanced heat transfer characteristics of nanofluids in channels with heat sources, with applications in cooling systems and heat exchangers. Participants will gain skills in applying the Mixture multiphase model to simulate nanofluid behavior, focusing on the combined flow and heat transfer aspects in a practical engineering context.