The Winner of the CAESES Student Award 2022 is Johanna Serr, a Mast of Science Student at the TUHH in Germany.
Centrifugal pumps are commonly used in industrial and residential applications due to their relatively simple design, manufacturing, and ease-of-maintenance. A centrifugal water pump was designed making full use the capabilities of CAESES in the scope of an internship project.
Submit your article in the field of “Simulation-driven Design of Maritime Systems”.
On the special occasion of the upcoming 90th birthday of Prof. Dr.-Ing. Dr. h.c. Horst Nowacki, former head of the section Ship Design at the Technical University Berlin, Germany, and former professor at the University of Michigan, USA, a special issue of Ship Technology Research shall be published in the first half of 2023.
We are excited to attend the Transport Research Arena (TRA) Conference in Lisbon, Portugal from November 14 to 17, 2022 with a presentation on “Holistic Ship Design for Green Shipping”.
On January 1, 2023, the Energy Efficiency Existing Ship Index (EEXI) and Carbon Intensity Indicator (CII) will come into force, creating new challenges for operators of commercial vessels. Ship owners and managers must prepare for these requirements by assessing and improving their vessels as needed. This is crucial in order to earn the proper certificates, allowing them to continue sailing and trading internationally.
For a long time, the COVID-19 pandemic had restricted global travel and events, forcing us to postpone our CAESES User Conference, originally scheduled for autumn 2021. Finally, in 2022, national and international restrictions were eased, and it was exciting to once again be able to host a face-to-face conference to meet our users, educate further and effectively network – something that had long been missed.
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.