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◦ Automate complex product design processes and integrate all external software and data into a single workflow
◦ Solve engineering problems with a complete toolset for Design Exploration and Predictive Modeling
◦ Compose a model of the product from different data sets, analytical and simulation models
◦ Explore this model with tools for Design Exploration
◦ Predict responses for new designs or operational regimes of the product with tools for Predictive Modeling
pSeven allows efficiently exploring model behavior with a wide range of techniques for Design of Experiments (DoE) and solving single- and multi-objective Design Optimization problems with both fast to evaluate analytical models and computationally expensive simulations. With pSeven you can also assess the influence of uncertain parameters of a product on its' characteristics with Uncertainty Quantification (UQ) capabilities.
By creating a predictive model from existing test, experimental and/or simulation data pSeven allows to predict response values for new designs, accelerate complex simulations by many orders of magnitude and capture essential knowledge from vast amounts of data. Such models are also often called approximation models, response surface models (RSM), surrogate models, metamodels etc.
pSeven is a platform that allows to capture even the most complex design processes by integrating tools for Design Exploration and CAD/CAE software you are using into a single workflow, define its logic and collect, analyze and reuse engineering data.
SmartSelection is an approach in pSeven that automatically chooses the most efficient Design Exploration or Predictive Modeling technique for a given type of problem and data, hides techniques' internal complexity and opens expert level mathematics even for non-math experts.
Check out more diverse use cases using pSeven.
