MBDyn

MBDyn

MBDyn is an open-source multi-body dynamics simulation software. It is used to study the dynamics of mechanical systems, including flexible bodies, joints, motors, and more. MBDyn handles complex simulations with high precision.
MBDyn screenshot

MBDyn: Open-Source Multi-Body Dynamics Simulation Software

An open-source software for simulating the dynamics of mechanical systems, including flexible bodies, joints, motors, and more with high precision.

What is MBDyn?

MBDyn is an open-source, cross-platform multibody dynamics analysis software. It allows users to perform advanced simulations of mechanical systems, comprising rigid and flexible bodies, joints, motors, sensors and more. Some key features of MBDyn include:

  • Modeling of complex mechanical systems with thousands of degrees of freedom
  • Wide range of element libraries for bodies, joints, forces, sensors, etc.
  • Advanced algorithms for computational speed and precision
  • Flexible body dynamics with component mode synthesis
  • Linear, nonlinear static and dynamic analysis
  • Graphical pre and post-processing
  • Interfaces with CAD software and FEM tools
  • Customization using plugins

MBDyn is written in C++ and is renowned for its accuracy and efficient performance in analyzing high fidelity multibody models. It can integrate with various CAE tools and import geometry definitions from CAD software. The modular architecture and open-source nature allows advanced users to expand capabilities. Overall, it is a comprehensive and powerful tool for multibody dynamics simulation across automotive, aerospace, biomechanics and other mechanical engineering domains.

MBDyn Features

Features

  1. Multi-body dynamics simulation
  2. Modeling of rigid and flexible bodies
  3. Various joint types
  4. Force elements like springs, dampers, actuators
  5. Aerodynamics models
  6. Thermal models
  7. Controls models

Pricing

  • Open Source

Pros

Open source and free

High precision and stability

Modular and extensible

Scriptable via Python

Cross-platform

Cons

Steep learning curve

Limited pre and post-processing tools

Sparse documentation

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