Missiles are one of the most important weapons in the modern war. It is necessary to design various shapes because it has a wide variety of shapes depending on the shape of the mission and the performance. However, designing a missile is a process that requires a lot of repetitive work until the required performance is satisfied. Therefore, we are studying an automated design framework to minimize repetitive tasks so that users can design comfortably.

The Design framework consists of the following four elements.

1. Shape parameterization for optimization and shape visualization technique

2. Design technology using various fidelity aerodynamic solvers

3. Multi-objective optimization algorithm that considers various objective functions and constraints at the same time

4. Data mining algorithm to extract design knowledge

Shape parameterization for optimization and shape visualization technique

For optimization, the shape of the missile can be easily defined by parameters and visualized through an open source CAD program.

Design technology using various fidelity aerodynamic solvers

It can be designed more precisely using various fidelity aerodynamic analysis programs, and the Surrogate model can be used to minimize calculation time and resources.

Multi-objective optimization algorithm that considers various objective functions and constraints at the same time

Through optimization using the user's desired objective function and constraints, it is possible to derive various shapes with improved performance than the existing ones.

Data mining algorithm to extract design knowledge

Design knowledge can be extracted through data mining that can grasp the relationship between the objective function and the design variable and can be usefully used for redesigning.