MapleSim is an advanced system-level modeling and simulation software used for creating, analyzing, and optimizing multi-domain physical models. It enables engineers and researchers to build virtual prototypes of complex systems, simulate their behavior, and diagnose performance issues. MapleSim leverages a symbolic computation engine for accurate modeling, supporting a wide range of engineering domains such as robotics, automotive, aerospace, power systems, and mechatronics.

Key Features

Multi-Domain Physical Modeling Create and simulate models that span mechanical, electrical, hydraulic, thermal, and control domains.

• Supports integration of components from different engineering fields.
• Enables holistic system analysis and design.

Symbolic Computation Engine Utilizes a native symbolic framework for model formulation and simulation.

• Reduces numerical errors.
• Enhances simulation speed and accuracy.

Open and Extensible Platform Allows customization and integration with other tools and workflows.

• Supports add-ons and connectivity with third-party software.
• Facilitates scripting and automation.

Model Gallery and Example Library Access a wide range of pre-built models and engineering examples.

• Speeds up learning and prototyping.
• Covers various disciplines and application areas.

Educational and Industrial Editions Available in editions tailored for professional, academic, and student use.

• Supports both teaching and research applications.
• Scalable for different user needs.

Benefits

Accelerated Development Reduces design and prototyping time by enabling virtual testing and validation.

• Minimizes the need for physical prototypes.
• Speeds up iteration cycles.

Cost Savings Lowers development and operational costs through early detection of design issues.

• Identifies problems before physical implementation.
• Reduces material and labor expenses.

Improved Accuracy and Insight Provides detailed analysis of system behavior using advanced simulation techniques.

• Enhances understanding of complex interactions.
• Supports informed decision-making.