Engineering support for solving optimization problems
When engineering problems become very complex, numerical optimization can help you find the best solution.
This example shows an aero-structural optimization of an aircraft wing, where mass, aerodynamic drag, and maintenance cost had to be minimized. The pareto front shows the distribution of all solutions, providing instant insight how these multi-disciplinary factors are related.
At Aeolus, we are specialized in solving optimization problems.
We support your product development in the field of multi-disciplinary design optimization. We use modern algorithms tailored to your design challenge.
We also provide models trained to your data, including:
Result of an multi-objective multi-disciplinary design optimization
This is the result of an multi-objective multi-disciplinary design optimization of an aircraft wing structure
We optimized three conflicting objectives. The result shows the pareto optimality: Improving on one objective requires to sacrifice on the other. This plot helps us understand the trade-offs. Each point is a discrete design which has been automatically analyzed using NASTRAN for FEM and AeolusASP for Aero.
Depending on your optimization problem, we develop the entire analysis toolchain
Including model generators, solvers, APIs, and more. We implement your specific boundary conditions and constraints to make sure the optimal solution meets all requirements.
As result: you gain valuable insight into potential improvements, sensitivities, and can ultimately identify the best solution.