Research and Development
CFturbo gives users the power to design best-in-class turbomachinery components in less time. This is crucial to streamlining the research and development process.
Besides dedicated design methods within CFturbo, we are deeply involved in CAE workflow development.
Automated CAE workflows become more and more important. CFturbo is open to be integrated into any workflow of initial design, simulation, and optimization.
On a regular basis, CFturbo is part of funded projects in cooperation with German universities, research institutes, and companies.
Funded projects of the Saxon Development Bank
Development of a fast calculation method for turbomachinery design based on IBM and LES
The aim of the project is to perform an efficient numerical flow calculation in blade channels of impellers and diffusers within the CFturbo software.
By combining IBM (Immersed Boundary Method) and LES (Large Eddy Simulation) a fast flow simulation is to be made possible, which makes the effects of geometry changes directly visible.
The development of the method is carried out together with the Institute of Air Handling and Refrigeration (ILK) Dresden.
Charlesreid1, CC BY-SA 3.0, commons.wikimedia.org/w/index.php
Automatic optimization of turbomachinery
The goal of the project is to develop a robust optimization workflow based on CFturbo. It should allow the integration of various optimization codes as well as simulation tools. This way the user can spend significantly less time and energy compared to common, interactive optimization.
A user-friendly GUI will support a user to set up the workflow. This opens optimization workflows to a wider range of users besides high-skilled specialists.
In this way, small and mid-sized companies would get access to automated product optimization.
High quality 3D geometry model of turbomachinery components
The project centers on advanced development of 3D geometry modeling methods and validation which are available in CFturbo.
The geometry models are the basis for simulation and optimization. They have to be validated and improved during the virtual design process in order to eventually build physical turbomachinery components.
High-quality, detailed modeling of material domain and flow domain is essential. In order to build components, you need high-quality models.
This project aims to improve modeling and validation strategies used in CFturbo, which will streamline the whole design process and the quality of exported data.