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Description

MFiX, which stands for Multiphase Flow with Interphase eXchanges, serves as an open-source solver designed for multiphase flow and is recognized as NETL’s primary suite of computational fluid dynamics tools for simulating reacting multiphase flows. It has established itself as a benchmark for the comparison, implementation, and assessment of constitutive models in multiphase flow scenarios and has been utilized across a wide variety of multiphase flow devices and industrial applications. Offering various modeling techniques, MFiX includes the Two-Fluid Model, Discrete Element Model, Coarse-Grained Particle DEM, Superquadric Particle DEM, Glued-Sphere Particle DEM, Particle-in-Cell model, hybrid approaches, and a dedicated single-phase solver tailored for granular flows. These advanced models enable the simulation of numerous systems such as gasifiers, circulating fluidized bed combustors, fluidized beds, fluid catalytic crackers, and chemical looping combustion systems, addressing complex interactions involving hydrodynamics, heat transfer, species transport, and various chemical reactions. As a result, MFiX contributes significantly to the understanding and optimization of these intricate processes in both research and industrial settings.

Description

Yade is a versatile and open-source framework aimed at discrete numerical modeling, particularly utilizing the Discrete Element Method. The core computational components are developed in C++, leveraging a flexible object model that facilitates the standalone implementation of new algorithms and interfaces. Meanwhile, Python serves as the language for quick and efficient construction of scenes, control of simulations, postprocessing tasks, and debugging processes. This framework is particularly suited for researchers and engineers who require the ability to create, execute, analyze, adjust, and expand particle-based simulations through scripts, interactive commands, graphical interfaces, and reusable simulation elements. Users can construct simulations using specialized generators or directly through Python scripts, offering considerable freedom in developing custom models, importing geometries, reusing code, and managing the entire simulation loop. Each simulation is represented as a scene that encompasses bodies, interactions, and the forces resulting from them, with the bodies characterized by their geometry, material properties, and state variables. Additionally, Yade's architecture promotes collaboration and sharing of advancements within the research community, enabling continuous improvement of simulation techniques.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Python
C++

Integrations

Python
C++

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

National Energy Technology Laboratory

Country

United States

Website

mfix.netl.doe.gov/products/mfix/

Vendor Details

Company Name

Yade

Founded

2009

Country

Czech Republic

Website

yade-dem.org/doc/

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