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Optimization of a Multistage Axial Gas Turbine with DOE Methodology
Posted Mon January 12, 2004 @11:04AM
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Application Leonid Moroz and Yuri Govorushenko of SoftInWay, Inc. have posted a white paper describing the optimization of a multistage axial gas turbine using design of experiments methodology.
A key turbine design problem is turbine optimization for "as designed" and "off-design" regimes of operation. This issue can be effectively addressed with problem-oriented design-of-experiment (DoE) methodology.

Work was carried out with AxSTREAMô software that has integrated DoE functionality. Implemented in the software a system of filters automatically suggest a set of project parameters from those that are relevant to a selected turbine design task. It makes a program very convenient to use and significantly speeds an optimization process.

The goal of the work was to demonstrate how DoE methodology facilitates optimization of the multistage axial gas turbine flow path using meanline approximation.


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