Quantification Parameter-Driven Uncertainty Analysis of Tip Clearance Deviation in Compressor Stability

Advances in transdisciplinary engineering 2026 Book chapter Open access

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Authors: Xi Yang, Wuli Chu, Tianyuan Ji, Kaiye Liu
DOI: 10.3233/atde260044
Cited by: 0

Abstract

Aero-engine advancements in thrust-to-weight ratio, reliability, intelligence, and multi-mode operation heighten sensitivity to compressor blade geometric deviations. Batch-produced engines show significant performance variations, with some failing stability margins due to machining deviations. This work employs NIPC-based uncertainty quantification with quantification parameter to rapidly assess Rotor 37 stability margins, validates parameter reliability, and analyzes tip clearance deviation impact mechanism.

Fields of Study & Subjects

Turbomachinery Performance and Optimization Probabilistic and Robust Engineering Design Bladed Disk Vibration Dynamics

Publication details

Journal / source
Advances in transdisciplinary engineering
Publication date
3 March 2026
Language
EN
Document type
Book chapter