Robustness Evaluation and Robust Design Optimization (RDO) of Turbo Machinery

Increased efficiency by sensitivity analysis and optimization with optiSLang® and ANSYS®.

The economy‘s ever-increasing need of energy and, at the same time, the rapidly diclining resources, have made energy efficiency – and hence Robust Design Optimization (RDO) – one of the most important challenges for engineering at the moment. During energy transformation, in almost every application the turbo machinery is one of the most important parts of the process chain and, therefore, shows a high potential for optimization.

Robustness Evaluation and Robust Design Optimization (RDO) of Turbo Machinery

If optimizing processes are carried out with modern automated methods, a large increase in efficiency can be achieved with relatively little effort. A multidisciplinary optimization, which includes both FEA and CFD simulations, is associated with a significant amount of computation. Therefore, it is essential to efficiently find a design fulfilling both the terms of fluid mechanics and the requirements of structural mechanics complying with sufficient safety margins. In order to reduce the required computational effort, prior to the optimization a sensitivity analysis is recommended. This enables the user to identify the most influential input parameter and, by this filtering, a reduction of variables for an efficient optimization is achieved.

Robustness Evaluation and Robust Design Optimization (RDO) of Turbo Machinery
Single-stage turbo compressor

In the related case study both the three-dimensional plots and the evaluation of flow and mechanical characteristics clearly demonstrate that the a stress reduction was possible while retaining good fluid mechanical properties. Here, the combination of optiSLang‘s stochastic and optimization algorithms with the parameterization and preprocessing capabilities of ANSYS Workbench proved to be a powerful tool. The tight integration of the software components allows a high degree of automation and, thus, a time-and resource-efficient optimization process. With a minimum of required solver calls, even a complex, high-dimensional optimization problem could be solved efficiently.

Robustness Evaluation and Robust Design Optimization (RDO) of Turbo Machinery
Start geometry / Optimal geometry
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