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.
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.
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.
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.
This study describes a simulation-driven optimization process to investigate the influence of tire tread patterns on water splashing.
This project was carried out in cooperation with GEMÜ Gebr. Müller Apparatebau and SimScale with the aims of the exploration of the potential and possible avenues for improvement of a valve, and integration of SimScale as a cloud-based CFD solver in the process.
Researchers at the Division of Applied Biomedical Engineering at the Penn State College of Medicine have been using CAESES in combination with CONVERGE as a CFD Integrated Optimization Platform for the development of safer and more efficient ventricular assist devices.
Within the framework of the project “Transitioning to Low Carbon Sea Transport” (TLCSeaT), focusing on the new-build of a sail assisted general cargo and island supply vessel for the Republic of Marshall Islands (RMI), CAESES has been used to create a parametric design and calculation environment that can be used for the evaluation of different design options during the vessel’s concept and early design phases.