The present case study looks at a Left Ventricular Assist Device (LVAD) based on an axial flow pump. CAESES was used as the central hub in the automation workflow. In addition to CAD generation, it was also used as the process integration and design optimization (PIDO) platform. CAESES was coupled to the Ansys Workbench in which the 3D meshing and CFD simulations took place, utilizing the CFX solver.
We are excited to announce the preliminary agenda for the CAESES User Conference 2022! We’ll have leading companies with us, such as Rolls-Royce Deutschland, KSB, Siemens Digital Industries and INEOS Britannia. See the event page for all details and registration.
In the process of geometry-based optimization, the problem of having to model a resulting geometry without knowing the exact values of characteristic parameters can arise. In order to open and further edit the optimized geometry inside the CAESES environment, the parameter set belonging to the new shape needs to be determined. The use of neural networks offers a great opportunity to solve this kind of problem since they are a powerful tool for constructing a predictive model based on data.
Ansys CFD tools like Fluent or CFX are a popular choice for engineers when it comes to evaluating the fluid-dynamic behavior of their designs. When used in an automated design process, they require a suitable CAD tool that can reliably produce the different geometry variants to be analyzed. In our experience, a crucial bottleneck that we set out to solve with CAESES.
When our colleague Heinrich is not supporting our customers or working on R&D projects, he likes to spend his free time making things. So when he encounters a challenge that might benefit from a convenient parametric approach, CAESES is an obvious choice. Just like this time, when he set out to create a bunch of wooden drawers.
We are excited to announce the new release of CAESES version 5.1.
Parametric modeling, CFD utomation and shape optimization – everything has been improved in CAESES, to let you design and optimize the most competitive products in the market!
Would you like to share your work with CAESES and be a speaker at the CAESES User Conference in September👩🏫?
Attach your abstract as PDF using the form.
Not registered yet for the CAESES User Conference in Berlin? Then this is your last chance to catch the early bird special rates until May 31, 2022, and to be part of this major CAESES event in 2022!
We are excited to announce the opening of registrations for the CAESES User Conference 2022, taking place in Berlin, Germany from Sep. 21-22, 2022.
This study describes a simulation-driven optimization process to investigate the influence of tire tread patterns on water splashing.