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.
CATIA Systems DBM Optimization
Quickly optimize a systems behavior by tuning the parameters that influence it
Many parameters of a system can be tuned to improve its behavior – for example the spring stiffness of a car suspension, the gear ratios within a gearbox or the variables used by a systems controller. Determining the optimum values of these parameters by using heuristic design rules, or by “trial and error” simulations, or by using simplified linear models and synthesis procedures, does not guarantee the best results and is a slow and iterative process.
CATIA Systems DBM optimization allows systems engineers to quickly determine optimum values of model parameters by using multi-criteria optimization across multiple simulation runs. Parameters are calculated to optimize the systems behavior, and are expressed in mathematical terms that define the performance improvements that can be expected.
- Enables the response of the system to be automatically improved to meet particular criteria.
- Determines improved values of model parameters by multi-criteria optimization based on multiple simulation runs.