Stochastic analysis of a radial-inflow turbine in the presence of parametric uncertainties

Zou, Aihong, Sauret, Emilie, Chassaing, Jean-Camille, Saha, Suvash C., & Gu, YuanTong (2015) Stochastic analysis of a radial-inflow turbine in the presence of parametric uncertainties. In Liu, G. R. & Das, Raj (Eds.) Proceedings of the 6th International Conference on Computational Methods, ScienTech, Pullman Hotel, Auckland, New Zealand.

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Abstract

This paper presents an uncertainty quantification study of the performance analysis of the high pressure ratio single stage radial-inflow turbine used in the Sundstrand Power Systems T-100 Multi-purpose Small Power Unit. A deterministic 3D volume-averaged Computational Fluid Dynamics (CFD) solver is coupled with a non-statistical generalized Polynomial Chaos (gPC) representation based on a pseudo-spectral projection method. One of the advantages of this approach is that it does not require any modification of the CFD code for the propagation of random disturbances in the aerodynamic and geometric fields. The stochastic results highlight the importance of the blade thickness and trailing edge tip radius on the total-to-static efficiency of the turbine compared to the angular velocity and trailing edge tip length. From a theoretical point of view, the use of the gPC representation on an arbitrary grid also allows the investigation of the sensitivity of the blade thickness profiles on the turbine efficiency. The gPC approach is also applied to coupled random parameters. The results show that the most influential coupled random variables are trailing edge tip radius coupled with the angular velocity.

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ID Code: 85669
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: uncertainty quantification, generalized Polynomial Chaos, Radial Turbine, CFD
ISSN: 2374-3948
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > APPLIED MATHEMATICS (010200) > Applied Mathematics not elsewhere classified (010299)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > INTERDISCIPLINARY ENGINEERING (091500) > Computational Fluid Dynamics (091501)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > INTERDISCIPLINARY ENGINEERING (091500) > Interdisciplinary Engineering not elsewhere classified (091599)
Divisions: Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Funding:
Copyright Owner: Copyright 2015 The authors
Deposited On: 19 Jul 2015 23:42
Last Modified: 24 Jul 2015 13:25

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