Novel Feature Based Approach for Turbomachinery Design and Analysis

2021 ◽  
Author(s):  
Ashwin Kannan ◽  
Krishna Kishor Dubasi ◽  
Dr Adele Nasti ◽  
Akin Keskin ◽  
Joshua Clough
Author(s):  
Ashwin Kannan ◽  
Krishna Kishor Dubasi ◽  
Adele Nasti ◽  
Akin Keskin ◽  
Joshua Clough

Abstract Current turbomachinery design and analysis is a time consuming process, involving multiple teams and multi-disciplinary physics to be considered during the design stages. The geometry definition is a key enabler requiring better, clean and flexible designs at desired level of fidelity for all analyses. In order to achieve this, a fully parametric approach has been developed using a feature library (user defined features – UDFs) in a CAD package together with multiple tools to prepare the geometry for analysis. The paper will describe the approach towards feature library creation for a whole aero engine application, the relevant steps to prepare the geometry for analysis, and the limitations. The feature library has been used to enable a new aero engine conceptual design from the whole engine aerodynamic gas path definition all the way to the structural design, providing the additional flexibility to perform trade-off studies through design of experiments (DOE). Results will be shown on variation of critical design parameters such as casing thicknesses, flange positions, and number of struts. The selected example will clearly demonstrate the time-saving and better-quality product achieved compared to the traditional process, and the ability of the engineer to explore the design space better with inter-linked analysis tools through a master geometry definition.


2015 ◽  
Author(s):  
Paul Dimitri ◽  
Karim Lekadir ◽  
Corne Hoogendoorn ◽  
Paul Armitage ◽  
Elspeth Whitby ◽  
...  

Informatica ◽  
2010 ◽  
Vol 21 (3) ◽  
pp. 361-374 ◽  
Author(s):  
Antanas Lipeika

Informatica ◽  
2017 ◽  
Vol 28 (3) ◽  
pp. 439-452
Author(s):  
Mykolas J. Bilinskas ◽  
Gintautas Dzemyda ◽  
Mantas Trakymas
Keyword(s):  
Ct Scan ◽  

2016 ◽  
Vol 136 (8) ◽  
pp. 1078-1084
Author(s):  
Shoichi Takei ◽  
Shuichi Akizuki ◽  
Manabu Hashimoto

Author(s):  
Xinwei XUE ◽  
Xin JIN ◽  
Chenyuan ZHANG ◽  
Satoshi GOTO
Keyword(s):  

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