Design Optimization in Gas Turbines using Machine Learning : A study performed for Siemens Energy AB
In this thesis, the authors investigate how machine learning can be utilized for speeding up the design optimization process of gas turbines. The Finite Element Analysis (FEA) steps of the design process are examined if they can be replaced with machine learning algorithms. The study is done using a...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
| Published: |
Linköpings universitet, Programvara och system
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-173920 |