CATIA バージョン6リリース2013x

CATIA Systems Engineering

CATIA Systems Engineering integrates complex product behaviour into the product definition, enabling a lifelike experience which predicts real world performance.

With CATIA Systems Engineering , system architects, product engineers, designers and technical experts define both technical and business aspects. The RFLP approach (Requirements, Functional, Logical and Physical Design) upholds a full traceability during product development and product introduction. This helps shortening the gap between requirements analysis and the choice of the right solution.

Systems Dynamic Behavior Modeling

Model and simulate the dynamic behavior of a multi-engineering system with a powerful workbench, based on the MODELICA language and integrated in an overall RFLP approach.

The Dynamic Behavior Modeling product allows designers or architects to build models of complex systems in order to study and simulate their dynamic behavior. The models are built from components that represent physical parts of the system such as a valve, piston, shaft, resistor, etc. and the components may belong to multiple engineering domains (such as mechanics, thermics, fluidics and electricity including electronics). You simply drag and drop these components from libraries into the model and connect them together.

This allows you to study the dynamics of each component or the sub-system behavior, and the way they interact with one another in large and complex systems, such as a truck with its braking system, or a car with engine, transmission, and driveline, or a robot with electric motors and a gearbox at each joint.

  • Experience full integration with the RFLP approach
  • Handle multiple disciplines
  • Benefit from the ready-to-use model libraries
  • Increase development speed and quality with object-oriented modeling
  • Develop new libraries and reuse components with the MODELICA language
  • Benefit from equation-based open architecture
  • Develop and analyze faster with an easy and intuitive user interface
  • Full integration with the RFLP approach
    This approach provides a comprehensive and collaborative way to develop a system across its different views. These views go from Requirements (customer needs, compliance demands, etc.), to Functional (breakdown of the system into targeted services), to Logical (corresponding technological solutions), up to Physical (implementation) design. This workbench is part of the Logical layer, enabling you to define and simulate the behavior of the different technological sub-systems.
  • Multidisciplinary approach
    Thanks to Dymola, this workbench can handle various disciplines such as mechanical, thermal, and electrical including electronics. You can define models based on mixed physics, and see the accurate effects of multiple physics on your system or product.
  • Availability of ready-to-use model libraries
    CATIA Systems Behavior natively includes an extensive library suited for mechanical (1D/3D), electrical (analog, digital, machines), thermal, fluid, or control systems.
  • Object-oriented Modeling
    The logical breakdown of the system is based on formal components that represent an electrical resistance, a pump or a gear for instance. This component structure allows concurrent engineering and reuse, increasing development speed and quality. Plus, models can be easily shared across project teams with efficient traceability.
  • Uses MODELICA Language for Reuse
    Moreover, the open architecture and the powerful MODELICA language allow the designer to develop his own new libraries and to re-use his components in later designs.
  • Equation based open architecture
    Unlike diagram blocks, where the behavior of each component has to be coupled to its previous components with links oriented in a specific direction, the architecture based on equations enables the components to  interact together synchronously with back and forth influences. Links between them have no direction. With this highly scalable solution, the system architect does not need to restructure his diagram for every small model change. Furthermore, the powerful symbolic solver helps you to define large and complex physical systems, such as the gearbox, the shift control, or the hybrid electric drivetrain of a vehicle. In addition, their simulation can include many simultaneous events.
  • Easy and intuitive user interface
    The logical models are built by dragging and dropping components from libraries and arranging them as in a schematic drawing. Every component has a unique icon which makes the diagrams intuitive to the engineer. This modeling approach allows any engineer to model a system, study its parameter sensitivities, test design alternatives and optimize the product performance. It reduces the model development time and eases the day-to-day engineering analysis.
  • Monte Carlo type of simulations for validation of the model.
    Monte Carlo Analysis is widely used to explore the behavior of a model when the input parameters are multidimensional. The model response can be observed when varying several parameters at the same time.

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