Design Space Exploration & Optimization

The Challenge

Selecting an appropriate algorithm to perform a design of experiments is important to understand the sensitivity of the used parameters on the design. The methodology of setting up the interaction between the parameters and the respective responses is a difficult and tedious task.

• Difficulty in sampling the design space to perform solution space exploration and find design variants
• Understanding the influential parameters of the design to make a decision
• Unstructured and complex interactions between different domains such as CAD design, FEA, AM simulation limit the optimization potential

Our Approach

Integrated in-house sampling techniques, sensitivity analysis and powerful optimization methods connect directly to your engineering workflows.

Your Value

Enhance your design processes with an intuitive setup of parametric studies and optimizations to reach your objectives.

• Compute optimal designs for complex multi-objective and constrained problems
• Perform design of experiments studies to efficiently explore design spaces
• Quick and detailed insights into the sensitivities of parameters to understand the main levers of influence on the design