How-To Guides¶

Modeling Chemical Reactions: Model a chemical reaction in M-Star CFD
Cooling and Dilution: Predict thermal blending in the tank, look for temperature differences. Predict the minimum residence time of the scalar field, look for bypassing.
Choosing a Simulation Resolution: Agitated Tanks: In this work, we will use M-Star CFD to predict the effects of resolution on power number across a range or Reynolds numbers for multiple impellers. From this output, we will provide guidance on recommended simulation resolutions.
Loading Initial State: Use a previously run simulation result as an initial condition
Predicting mass transfer (kLA) in gasified bioreactors: Bioreactor performance and yield is typically informed by the overall transport rate of oxygen from gas bubbles to an agitated fluid. In this work, we model a sparged, benchtop bioreactor with bubble break-up and carbon dioxide production.
Mixing Bioreactors with Bottom Mounted Impellers: Predict single and multi-fluid blending in tall tanks.
Computing Blend Time on any Model: How to perform a blend time calculation. We will use a scalar impulse injection in combination with a global variable reduction.
external-accelerations-examples: Examples of external accelerations

Interacting with the GUI¶

Duplicate Object Pattern: Duplicate a geometry using built in geometrical patterns such as line, arc, and mirror.
Viewing Panel Functions: How to rotate, pan, and zoom the 3D view in M-Star Pre

Custom Rheology in T-Junction Pipe: In this tutorial, we will mix a custom non-Newtonian liquid with water. We will show both a simple linear combination of the viscosities and an enhanced mixing with a static mixing element.
Custom Particle Variables: Configure custom particle variables to capture hydrodynamic conditions and gain valuable insight into the particles exposure to local fluid conditions
Simple Controller Tutorial: Establish a feedback-loop–controlled CFD setup.

Environment Setup for Windows with VS Code: Setup a Python environment with M-Star Pre, Microsoft VS Code editor.
Python Overview: An overview of the Python pre processing capability in M-Star
Python CLI Example: An explanation of the Python CLI example provided in the documentation
Optimization Example: Optimize the location of an impeller by using advanced optimization technicques available in the scipy python library
Python Model Properties: An explanation of how to access and modify M-Star model data from a python script
Mixing Tank Example: Perform all steps in a CFD workflow from a python script. Performs pre-processing, solving, and post-processing.

Tutorial for Optimizer: Simple: Optimize the position of the middle one of three impellers mounted on the same axis to achieve maximum energy input
Tutorial for Optimizer: Complex: In this example, we want to find a model for the [kLa] that reproduces three experimentally measured [kLa]s by using an optimizer in order to adjust the breakup and coalescence model.