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Engineering Optimization - Easier than ever before Webinar

 

SAVE A LOT OF TIME, AND STILL GET THE BEST INFORMATION POSSIBLE

Understanding the behavior of your engineering simulation models is the first important step in setting up any engineering optimization project. Optimus makes it easy to do that

  • letting you build & automate your engineering simulation workflows, using its drag-and-drop process editor,
  • boosting your productivity by planning engineering simulations to deliver a maximum of relevant insights, thanks to its proven and robust Design of Experiments (DOE) technology.

MAKE THE BEST USE OF YOUR SIMULATION BUDGET, WITHOUT EVER COMPROMIZING QUALITY

Optimus offers a smart and fully automated approach that will make the best use of your simulation budget

  • using the new Adaptive DOE algorithm that learns from previous experiments and focuses on design space regions that matter the most,
  • building meta-models that confidently model system response in all design regions of interest, thanks to our new Best Model algorithm that automatically selects the best-performing model for any given data set,
  • optimizing your designs ultra-fast through clever methods operating directly on high-quality meta-models.

 

 

 

HERE'S A SHORT OVERVIEW OF WHAT YOU WILL LEARN

 

Optimus captures and automates any engineering simulation workflow, whatever CAD or CAE software you are using. Optimus conducts Design of Experiments, allowing for highly effective Adaptive DOE strategies and enabling parallel execution of virtual experiments. Optimus builds and validates surrogate models - giving confidence that these models are well suited to perform ultra-fast engineering optimization.
Optimus' new Best Model algorithm even selects the best-performing surrogate model for any given data set - automatically. High-fidelity surrogate models reveal valuable relationships between design parameters and performance metrics. Ultra-fast optimization on the best surrogate model delivers a set of optimal solutions in no time, enabling the engineering team to choose the best fit.