Shape morphing allows you to easily import an existing geometry model and reshape your design with regards to the flow and structural performance. Read this blog post for a comparison of the different morphing approaches in CAESES 5 and how it offers intuitive and exact shape modifications that can be set up in a matter of minutes.
There is no excerpt because this is a protected post.
In this blog post, problematic dynamic instabilities in the operation of the baseline poppet valve were investigated and effectively solved by setting up an automated workflow with CAESES® and SimericsMP®.
The present case study investigates a hypothetical intake duct geometry for a TBCC propulsion system, which channels high-speed air from the freestream into the engine and converts the dynamic energy into high pressure by making use of a series of compression shocks.
This academic blog post describes how CAESES was used to design a parametric turbopump inducer geometry in conjunction with Ansys CFX.
This blog post deals with the improvement of the design of the internal layout of oil tankers targeting safety and economic feedback and considering the incorporated uncertainty.
The present work explores novel sCO2 axial turbine designs for waste heat recovery (WHR) applications based on a 10 MW case study. A Kulfan Class Shape Transformation (CST) for 2D axial blade profile design is employed, and considerations are undertaken for aerodynamic efficiency and mechanical stresses.
There is no excerpt because this is a protected post.
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.