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The main goal of this study is to enhance hydro-acoustics and hydrodynamics performance of a submarine hull with bow form optimization using high-fidelity CFD simulations and an automated workflow.

Predicting the transitional boundary layer is still an almost impossible task for arbitrary flow conditions. The consideration of the impact of boundary conditions such as pressure gradient, free-stream turbulence and surface roughness demand improved transition models, which are the interest of a research group at the Karlsruhe University for Applied Sciences. CAESES was introduced as the process integration and design optimization (PIDO) platform to optimize the leading edge contour.

The aerodynamic optimization of bicycle wheels can lead to decisive gains in running pace. Nowadays, aerodynamic performance is one of the key factors considered when racing cyclists purchase new equipment. The aim of this project was to investigate the aerodynamics involved in bicycle wheel design, and to optimize and design a very low drag bicycle wheel rim shape using CAESES & TCFD.

The design and optimization of valves is one of many applications where using CAESES® to robustly automate the processes of systematic geometry variation and analysis of the generated variants with a suitable CFD solver can lead to significant reductions in time-to-market, as well as to a truly optimal design within the specified constraints.

The CAESES ACT app is an ANSYS geometry interface by FRIENDSHIP SYSTEMS that allows CFD engineers to automate the entire geometry generation process, for the purpose of running shape optimization and design studies.

The design of axial fans typically considers the efficiency but also the reduction of the noise emissions. Axial fan noise reduction is a rather huge and complex topic when it comes to all the details, but there are a few simple CAD techniques that you can apply to your standard blade designs, to immediately enhance the fan’s noise level.

When we talk about CFD optimization software, we actually think of a an entirely automated engineering process that covers geometry generation, meshing, simulation and design post-processing. All of these single steps are automated to create a closed optimization loop where, finally, the optimal design candidate(s) emerge from the process, showing optimal results in terms of the product’s flow behavior (e.g. minimum pressure loss, lowest drag, reduced wave resistance, flow homogeneity, robustness for different operating conditions, etc.).

Learn the basic concept of meta surfaces in CAESES, to create advanced parametric sweep surfaces with more controls.

With CAESES version 4.4.2, we introduced a set of new features to automate the CFD software CONVERGE for the purpose of conducting design explorations and shape optimization. This short article gives you an update on the existing CAESES capabilities and their function in the context of using CONVERGE as your CFD software.