Seyedmohammadamin Tabei
Development of a digital twin for the performance prediction of an industrial gas turbine.
Rel. Daniela Anna Misul. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Meccanica (Mechanical Engineering), 2022
Abstract
The present project was conducted under a collaboration between Polytechnic of Turin and EthosEnergy S.p.A., a company operating in the turbomachinery field through design, production, and maintenance of its components. The main objective of this study is to model a gas turbine unit through AxSTREAM solver families. The investigated gas turbine is code named PG6581B (Frame 6B) and analyzed via AxSTREAM, a software platform for multidisciplinary design, analysis and optimization which adopts an integrated and streamlined approach suited forThe present project was conducted under a collaboration between Polytechnic of Turin and EthosEnergy S.p.A., a company operating in the turbomachinery field through design, production, and maintenance of its components.
The main objective of this study is to model a gas turbine unit through AxSTREAM solver families
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