Multi-Object Multi-Discipline Probabilistic Design of High-Pressure Turbine Blade-Tip Radial Running Clearance

Wen Zhong Tang; Cheng Wei Fei; Guang Chen Bai

doi:10.4028/www.scientific.net/KEM.572.551

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HomeKey Engineering MaterialsKey Engineering Materials Vol. 572Multi-Object Multi-Discipline Probabilistic Design...

Multi-Object Multi-Discipline Probabilistic Design of High-Pressure Turbine Blade-Tip Radial Running Clearance

Abstract:

For the probabilistic design of high-pressure turbine (HPT) blade-tip radial running clearance (BTRRC), a distributed collaborative response surface method (DCRSM) was proposed, and the mathematical model of DCRSM was established. From the BTRRC probabilistic design based on DCRSM, the static clearance δ=1.865 mm is demonstrated to be optimal for the BTRRC design considering aeroengine reliability and efficiency. Meanwhile, DCRSM is proved to be of high accuracy and efficiency in the BTRRC probabilistic design. The present study offers an effective way for HPT BTRRC dynamic probabilistic design and provides also a promising method for the further probabilistic optimal design of complex mechanical system.

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Periodical:

Key Engineering Materials (Volume 572)

Pages:

551-554

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.572.551

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Online since:

September 2013

Authors:

Wen Zhong Tang, Cheng Wei Fei, Guang Chen Bai

Keywords:

Blade-Tip Radial Running Clearance, Distributed Collaborative Response Surface Method, High Pressure Turbine, Probabilistic Design

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