Tutorials¶
Getting Started¶
- Buffer length
Here we learn about the buffer length for inlet and outlet conditions in model units.
- Computed Velocity
Here we learn about computed velocity, which is the characteristic velocity of the boundary condition.
- Free Surface Dynamics
Here we present a step-by-step approach for building, running, and post-processing free-surface simulations and modeling filling process.
- Importing CAD Geometry
Here we demonstrate how to add CAD geometry to a system.
- Using Nearest Neighbor Distance Distributions
Here we demonstrate the use of the Nearest Neighbor Distance Distribution with particles.
- On and Off Lattice Boundary Conditions
Here we learn about aligning the boundary conditions with the underlying lattice.
- Predicting Forces and Torques
Here we learn how to calculate impeller power draw and determine blend time.
- Predicting Forces on Solid Bodies
Here we learn how to record and display forces on moving and static objects.
- Selecting Surfaces for Boundary Conditions
Here we learn how to select a surface for use as an inlet or outlet boundary condition.
- Simple Agitated Tank
Here we present a step-by-step approach for predicting fluid blend times. Although applied here to a single phase, fully turbulent system, the approach is general and can be applied to any mixing configuration.
- Tanks with Inlets and Outlets
Here we learn about recirulation boundary conditions. We define boundary conditions in tanks with inlets and outlets.
Output Setup¶
- Zonal Analysis
Here we learn about using the Zonal Analysis feature to simplify data analysis.
- Types of Averaging
Here we learn about using the types of averaging available in M-Star CFD for analysis.
Advanced Modeling¶
- Gas Induction Modeling
Here we present a method for modeling headspace gas induction through a submerged impeller. We utilize an immiscible two fluid method to explicitly model both the liquid and gas phases in the system. M-Star’s uses a Eulerian-Lagrangian particle generation method to model the induced gas once it can no longer be explicity modeled (due to droplet size). We also introduce a method to monitor the gas induction flow rate of the impeller.
- Particle Blending and Suspension Modeling
Here we present approaches for modeling two-fluid liquid/solid systems. We consider both tracer and inertial particles and illustrate how these simulations can be used to predict residence time distributions, setting, etc.
- Recirculation Systems
Here we present approaches for modeling recirculation systems. We discuss the key operating principles that inform model development, as well as the blending characteristics of jet mixing systems.
- Sloshing Systems
Here we illustrate how to model shaking and sloshing free-surface systems. We demonstrate using built-in motion types, as well as custom user-defined system accelerations.
Aggregator¶
- Using the Aggregator Tool
Here we use the Aggregator to examine the results of a parametric study. We will use the Aggregator to combine key variables from the study and compare the results of multiple simulations to quickly gain insights.
Post-Processing¶
- Introduction to M-Star Post
Here we present an introduction to data analysis using M-Star Post. We discuss manipulating color scales, as well as basic operations related to line plotting.
- Python Annotation in M-Star Post
Here we present the use of Python Annotations in M-Star Post. We discuss how to create and manipulate Python annotations, as well as how to use them to display data in M-Star Post.
- Working with Slices in M-Star Post
Here we present an introduction to data analysis using M-Star Post. We discuss manipulating color scales in slice data, as well as basic operations related to glyphs.
- Working with Volumes in M-Star Post
Here we present an introduction to data analysis using M-Star Post. We discuss more advanced volumetric rendering techniques, including streamlines, particles, and glyphs.