Optimization and design of turbo machines using ANSYS optiSLang and CFturbo
December 6, 2017 | 9:00 CET and 9:00 PST
Optimization in turbomachinery is a challenging task due to demanding numerical CFD simulations. Using sensitivity analysis, meta-modeling techniques and optimization on Response Surfaces will enable you to design turbo machines with acceptable numerical effort. The efficiency of the approach becomes even more relevant when several operating points should be taken into account. The basis for such an analysis is a well parametrized geometry and an automated workflow which will be both presented in this webinar. The parametrized geometry is provided by CFturbo and the workflow is set up in ANSYS optiSLang using different Solvers like PumpLinx and CFX in ANSYS Workbench. As an example, the analysis of a pump and a radial turbo compressor will be presented.
Optimal layout of electric machines using Motor-CAD and ANSYS optiSLang
November 8, 2017 | 9:00 CET and 9:00 PST
A linkage between Motor-CAD and optiSLang has been created to provide a world leading optimization procedure for the design of rotating electric machines. Typically, optimization procedures for electric machines focus on evaluating each candidate design at a single operating condition considering only electromagnetic effects, this causes many challenges and often leads to a sub-optimal design.
The Motor-CAD-optiSLang workflow allows engineers to evaluate candidate designs across the full operating speed range, considering both peak and continuous torque/power characteristics, using state-of-the-art electromagnetic and thermal modeling techniques. In addition, the efficiency and performance of considered designs regarding drive cycles can be optimized. Multi-core analysis is used to provide a significant speed improvement to the solution, while the cutting-edge design space analysis techniques contained within optiSLang enable the optimum design to be found quickly and reliably.
Dimensioning and quality proof of a connector using ANSYS optiSLang
Connectors are used in a wide range of industrial products: eMobility, energy automation, automotive industry, etc. In order to design such connectors, in a first step, it is often necessary to calibrate the virtual material model to experimental measurements. A design improvement can be achieved by optimizing the geometry for a required insertion and pull-out process. Finally, the quality of the connector has to be proven. With the help of ANSYS optiSLang, the engineer can easily solve these challenges. Learn how ANSYS optiSLang helps you to perform a fully automatic calibration and optimization of a connector with respect to challenging environmental conditions. You will also learn how to set up and perform a tolerance analysis with ANSYS optiSLang.
Calibration of a Rocky DEM Simulation with ANSYS optiSLang
The automated calibration of a numerical simulation with experimental data can help to improve the credibility of the simulation results with all stakeholders. In this webinar, the setup of such an automated analysis is demonstrated for the angle-of-repose and drawn-down-angle simulated with Rocky DEM. It also shows how easy it is to use sensitivity analysis and meta-modeling techniques to find the best fit of particle specific data with the experimental data. The webinar demonstrates how to apply Rocky DEM inside optiSLang, however, you can apply the presented workflow with any FEM, CFD or electric magnetic simulation model.
Machine tool optimization with ANSYS optiSLang
The automated optimization of an engineering structure or system can economize material costs and planning time. During this webinar, the setup of such an automated analysis is demonstrated for a machine tool part simulated with ANSYS Mechanical. Using a sensitivity analysis and meta-modeling techniques, the best compromise between the structural mass and the deformations under several working conditions can be found very quickly. In this example, the optimization procedure using ANSYS optiSLang within the ANSYS Workbench could significantly reduce the mass with respect to the manual engineering design. You also learn how to apply easily the presented workflow to your FEM, CFD or electric magnetic simulation model.