
Generate a mesh around a 3D cylinder and surrounding fluid block, define corner coordinates, and set up regions and computational zones to analyze flow in STAR-CCM+.
Use the boolean subtract to remove the cylinder from the block, generating the subtracted domain and then update the operation, split surfaces by angle, and name boundaries for meshing.
Use surface wrapper to reconstruct the volume from intersecting parts by defining seed points and adjust the base size so the geometry, in millimeters, yields a clean watertight part.
Create a single region with surface wrapper to generate a polyhedral volume mesh with prism layers near walls, then refine edge regions with curve control.
Define boundary conditions by using velocity inlet at the inlet, pressure outlet at the outlet, and the cylinder wall, while setting outer boundaries to symmetry planes to guide the mesh.
Define a 3D unsteady, incompressible, constant-density laminar water flow with a physics continuum, set boundary conditions, initialize, and visualize velocity magnitude to observe vortex shedding.
Set Reynolds number around 200 in Star-CCM+ by lowering density to reveal the von Karman vortex street behind the cylinder. Refine the wake with more prism layers and remeshing.
Refine the wake mesh behind the cylinder by lowering volume growth and adding a refinement block, then tune time stepping and the unsteady solver to capture vortex shedding.
Explore physics-driven AMR by thresholding vorticity magnitude to visualize vortex shedding behind a cylinder in STAR-CCM+ and prepare for mesh adaptation to resolve wake structures.
Activate adaptive mesh refinement driven by vorticity magnitude to refine the wake behind the cylinder. Validate by comparing refined regions to high-vorticity zones and adjust the range and frequency.
Add heat transfer to the flow around the cylinder using the temperature energy model. Set inlet 300k and cylinder wall 400k to visualize downstream heating and vortex shedding.
Simulate multiphase oil and air flow around a gearbox using the mixture model/VOF in StarCCM Plus; generate a 2D mesh, define oil and air phases, and run the simulation.
Generate a 2d polygonal mesh with prismatic near-wall layers in StarCCM Plus and configure a mixture multi-phase, gravity-driven flow with k-epsilon turbulence for an oil and air system.
Set up and model multiphase interaction between oil and air in Star CCM+, defining the phase interaction, interaction length scale, and initial volume fractions with field functions.
Set up overset mesh regions for background, large gear, and small gear; enable drag-based slip velocity for oil–air and visualize initial oil volume fraction in scenes.
Configure a two-phase transient run by setting time step, adjust under-relaxation and smoothing, and define stopping criteria; then run the solver, observe oil fraction evolution with smooth contours and frames.
Explore how oil is picked up, recirculated, and wetted between rotating gears while visualizing lubrication patterns in StarCCM Plus, using frame sequences and solid body rotation settings.
Explore external aerodynamics by simulating flow around a concept Airbus A320 in StarCCM Plus. Import a surface mesh STL, set units to meters, and prepare the computational domain and mesh.
Create a far-field domain around the aircraft with a domain and refinement block, and use the surface wrapper to obtain a watertight geometry with optimized base size.
Create the aircraft domain with surface wrapper, assign a region, generate a polyhedral mesh with prismatic layers, and define velocity inlet, pressure outlet, and symmetry plane for steady laminar flow.
Examine the velocity and pressure fields around the aircraft on the z=0 plane, using velocity vectors and magnitude scalars with LIC visualization and animations to reveal wake patterns.
Apply volumetric controls to refine the mesh and adjust prism layers. Use cylinder refinements around winglets to sharpen local resolution for aerodynamic studies.
Analyze advanced flow field and vortex structure in star-ccm+ with a refined mesh around winglets. Visualize vorticity via thresholding and assess residuals to prepare for turbulence modeling.
Implement Reynolds stress model with elliptic blending in StarCCM Plus to capture boundary layer turbulence using a wall distance model and prism layers, then examine wake and near-wall resolution.
Apply surface controls and wake refinement to refine the airplane mesh using a target surface size of 5, and adjust the wake spread angle to capture downstream wake structures.
Explore conjugate heat transfer in a manifold, modeling heat exchange between gas and solid domains. Learn a multi-physics, multi-timescale approach with fluid steady-state and solid transient conduction using StarCCM Plus.
Define two regions, the gas region and the manifold region, and create an automatic fluid-solid interface to enable conjugate heat transfer across the common surface.
Create a conformal mesh by meshing both regions together to avoid interpolation at the interface, using surface remesher and polyhedral volume meshing for robust default controls.
Set up two custom controls to disable prism layers on the solid region and on gas inlet/outlet surfaces, and disable the thin mesher in the gas part.
Define gas-phase physics with an ideal-gas, compressible flow and turbulence in a steady gas region, and couple it to transient solid conduction in a ductile iron manifold using two continua.
Set up a solid manifold physics continuum for transient heat conduction with Segregated Solid Energy, implicit unsteady time, and 300 K initial temperature, using ductile iron from the material database.
Map the gas–manifold interface for multi-time scale CFD by setting the interface type to mapped contact interface and enabling explicit energy coupling, transferring data across the conformal interface efficiently.
Configure inlet and outlet boundary conditions for gas region, with 500 K and 10 m/s at inlet and 360 K backflow at outlet, enabling conjugate heat transfer mappings.
Configure steady gas and implicit unsteady solid solvers with 250 iterations, 50-second unsteady blocks, up to 4 inner iterations, and a 500-second time horizon with gas-solid mapping after each cycle.
Create threshold-based post-processing in StarCCM Plus to display subsets of gas and manifold cells by position; use position Z and X thresholds, combine them, and save simulation for next steps.
Post-process STAR-CCM+ results by creating reports for volume average temperature and min/max solid temperatures in the manifold, then visualize with a scalar scene and plots.
Automate a multi-time scale CFD workflow in StarCCM Plus with simulation operations, cycling between steady gas solver (250 iterations) and unsteady solid solver (50 s) until 500 s.
Create and link reports and monitors in Star-CCM+ to track loop iterations and physics continuum iterations, then plot energy residuals against iterations for thermal analysis.
Execute a full conjugate heat transfer simulation in star-ccm+ using a multi-time scale workflow, stepping through fluid and solid solves and coupling cycles to observe heat transfer.
Review the final results of a CFD simulation in STAR-CCM+, fix the unsteady solid solver time step to 0.2 seconds, and explore conjugate heat transfer, fluid-solid interfaces, and conformal meshing.
Introduce the sloshing benchmark, the moving tank problem, the free-surface behavior, and the VOF-based strategy for capturing water–air interface motion.
Configure the VOF Waves model, define the water and air phases, and initialize the flat free surface for the two-phase sloshing simulation.
Apply the time-dependent X-acceleration field function through the gravity vector to drive the tank motion and generate sloshing behavior.
Create the key reports, monitors, plots, and scenes used to track CFL number, adaptive time step, water mass, volume fraction, and conservation quality.
Set stopping criteria, initialize the solution, run the two-phase water–air VOF case, and review interface behavior, CFL levels, time-step evolution, and conservation error.
Extend the sloshing model from two phases to three phases by adding oil, defining phase properties and interactions, initializing the layered field, running the case, and comparing the increased numerical complexity against the two-phase result.
Introduce the mixture multiphase approach and understand how it offers a different strategy from VOF for modeling complex sloshing behavior.
Set up the mixture multiphase framework, define the phases, and prepare the case for transient sloshing simulation.
Define the initial liquid distribution, configure volume fractions, assign material properties, and prepare the tank for a stable simulation start.
Configure time-step control, solver settings, and stability parameters needed to run a reliable mixture multiphase sloshing case.
Run the simulation, visualize the evolving flow behavior, and compare the mixture multiphase result with the VOF-based sloshing approach.
Students learn why outlet boundaries strongly affect CFD accuracy and how poor outlet placement can create unrealistic flow behavior and unstable solutions.
Students learn how to configure pressure outlets correctly and understand how reverse flow behavior impacts CFD results and solver stability.
Students learn how outlet position affects pressure distribution, recirculation regions, and overall CFD result quality.
Students learn practical engineering guidelines for creating stable, physically meaningful, and reliable outlet boundary conditions in CFD simulations.
This course contains the use of artificial intelligence.
Become a STAR-CCM+ expert and master CFD simulation from scratch!
AI Disclosure:
Some audio narration in this course is generated using artificial intelligence (text-to-speech technology) to ensure clear, consistent, and high-quality delivery of the content.
This course takes you step-by-step through real-world engineering applications, including 3D flow around cylinders, gearbox lubrication, aircraft aerodynamics, and conjugate heat transfer in complex manifolds. Whether you’re a beginner or looking to upgrade your CFD skills, this course gives you the tools to simulate, analyze, and optimize fluid and thermal systems like a professional.
You will learn how to create geometries, generate high-quality meshes, define boundary conditions, model turbulence (RSM), perform multiphase simulations, and use adaptive mesh refinement. Additional topics include heat transfer modeling, vortex shedding analysis, and advanced solver techniques. By the end of this course, you’ll confidently tackle both academic and industrial CFD projects using STAR-CCM+.
This course is perfect for engineers, researchers, students, and professionals who want to learn CFD simulation in STAR-CCM+ from zero to expert level. No prior experience in STAR-CCM+ is required, but basic knowledge of fluid mechanics and heat transfer will help you maximize learning.
Hands-on examples, industry-relevant case studies, and step-by-step guidance make this course unique. Gain practical skills, understand the physics behind CFD simulations, and learn how to optimize your models for accuracy and efficiency. By the end, you will be fully equipped to solve real CFD challenges with STAR-CCM+.