MapleSim is a high-performance, multi-domain modeling and simulation software designed for educators, engineering students, and researchers. It enables users to create efficient, system-level models that integrate physical components and signal-flow blocks, supporting a wide range of engineering and scientific disciplines. MapleSim helps bridge the gap between theoretical concepts and practical applications, facilitating both teaching and advanced research in fields like robotics, control systems, thermodynamics, and mechatronics.

Key Features

Multi-domain Modeling Enables integration of components from various engineering domains.

• Supports lumped parameter, 1D, and multidomain system modeling.
• Allows mixing of physical components with signal-flow blocks in a single environment.

Automatic Equation Generation and Simplification Streamlines the modeling process and enhances simulation performance.

• Automatically generates system equations.
• Uses symbolic techniques to simplify complex models for faster simulations.

Extensive Component Libraries Provides a broad range of pre-built and customizable components.

• Hundreds of built-in components across multiple domains.
• Supports equation-based custom components for specialized needs.

Interactive Analysis and Visualization Facilitates in-depth exploration and presentation of model behavior.

• Offers robust 2D and 3D plotting and animation tools.
• Includes parameter exploration and live design documentation.

Optimized Code Generation Produces high-performance, deployable code from models.

• Generates royalty-free code for optimization and hardware-in-the-loop (HIL) testing.

Integration with CAD and Other Tools Enhances workflow with external design and analysis environments.

• CAD Toolbox for importing and analyzing CAD models.
• Compatible with Modelica and other engineering platforms.

Benefits

Bridges Theory and Practice Connects classroom concepts with real-world engineering challenges.

• Engages students using complex, practical examples.
• Prepares students for industry-relevant problem-solving.

Accelerates Model Development Reduces time and effort required to build and refine models.

• Streamlines the path from concept to validated simulation.
• Minimizes manual derivation and repetitive tasks.

Supports Research and Innovation Provides a rigorous computational framework for advanced research.

• Enables rapid prototyping and validation of new ideas.
• Facilitates collaboration and sharing of models and results.

Enhances Teaching and Learning Improves educational outcomes in STEM fields.

• Supports interactive classroom demonstrations and independent exploration.
• Integrates with automated assessment tools for math, science, and engineering