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.
Integrated in-house sampling techniques, sensitivity analysis and powerful optimization methods connect directly to your engineering workflows.
Create a parameter study by defining the parameters and responses of interest
Perform a design of experiments study by selecting the number of samples using the latin hypercube sampling technique for optimal solution space exploration
Understand the most influential parameters, on the responses, with the help of user-friendly sensitivity analysis visualization
Carry out the optimization to find an optimal design using powerful evolutionary algorithms
The parameters and responses of the best design can be connected to further design or optimization studies
Enhance your design processes with an intuitive setup of parametric studies and optimizations to reach your objectives.