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| Content Provider | The American Society of Mechanical Engineers (ASME) Digital Collection |
|---|---|
| Author | Cremanns, Kevin Roos, Dirk Hecker, Simon Penkner, Andreas Musch, Christian |
| Copyright Year | 2018 |
| Abstract | This work presents a robust multi-objective optimization of a labyrinth seal used in power plants steam turbines. The conflicting objectives of this optimization are to minimize the mass flow and to minimize the total enthalpy increase in order to increase the performance and to reduce the temperature, which results in elevated component utilization. The focus should be the robustness aspect to be involved into the optimization. So that the final design is not only optimized for its deterministic values but also robust under its uncertainties. To achieve a robust and optimized design, surrogate models are trained and used to replace the computational fluid dynamic solver (CFD), so as to speed up the calculations. In contrast to most techniques used in literature, the robustness criteria are directly involved in the multi-objective optimization. This leads to a more robust Pareto front compared to a purely deterministic one. This method needs many design evaluations, which would be not effective, if a CFD solver were used. |
| Sponsorship | International Gas Turbine Institute |
| File Format | |
| ISBN | 9780791851173 |
| DOI | 10.1115/GT2018-75262 |
| Volume Number | Volume 8: Microturbines, Turbochargers, and Small Turbomachines; Steam Turbines |
| Conference Proceedings | ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition |
| Language | English |
| Publisher Date | 2018-06-11 |
| Publisher Place | Oslo, Norway |
| Access Restriction | Subscribed |
| Subject Keyword | Design Temperature Uncertainty Computational fluid dynamics Enthalpy Pareto optimization Power stations Robustness Steam turbines Flow (dynamics) Optimization |
| Content Type | Text |
| Resource Type | Article |
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