2D axisymmetric and 3D CFD simulations of flow over the benchmark DARPA SUBOFF submarine model

Now, the scope for future research work is vast as there are numerous axis-symmetric bodies such as torpedo rocket main body missiles. These bodies have a hard form present when the control planes are kept apart, which is also torpedo-shaped, streamline and axis-symmetric. Therefore, when designing such bodies, the same axis-symmetric method can be used. Designing the bare hull is crucial as it carries sensors, battery packs, power packs, and various kinds of projection systems. Hence, an optimum design for the bare hull is necessary, and a lot of time is spent on research. To speed up such research work, the 2D axis-symmetric method can be used on AY metric bodies like Autonomous Underwater Vehicles, Submarine models, MS designs, and S. In the last few slides, we have shown how accurate and reliable these 2D axis-symmetric methods are when compared to the 3D case. Therefore, this method can become an excellent alternative to 3D for determining the optimum al value ratio and all stage optimization studies, among others.

Earlier, 3D simulation was used as input for optimization algorithms using artificial intelligence and machine learning. However, now the same 2D axis-symmetric simulation can be used as an initial test for such algorithms to run problems related to artificial intelligence and machine learning.