A turbine guide vane life test spectrum compiling method based on a measured temperature spectrum

By preprocessing, clustering analysis, and damage calculation of the measured temperature spectrum of turbine guide vanes, a life test spectrum of turbine guide vanes is compiled, which solves the problem of inaccurate life prediction in the existing technology and achieves more accurate life assessment.

CN122171215APending Publication Date: 2026-06-09NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Patent Information

Application Number
CN202610089927.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-22
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

In the existing technology, the life assessment method for turbine guide vanes fails to accurately reflect the complex thermal shock loads in actual operation, resulting in a large deviation between the life prediction results and the actual service life.

Method used

The method based on measured temperature spectra is adopted. By preprocessing the measured flight profile temperature spectra of multiple target aero-engines, removing small loads, performing cluster analysis, calculating single-point damage and cumulative damage at the cluster centers, and combining the Miner linear cumulative damage criterion, the equivalent load level and frequency are determined. Finally, the life test spectrum is compiled.

Benefits of technology

This improves the accuracy of the life test spectrum for turbine guide vanes, enabling it to reflect the actual load magnitude and true sequential effects, and providing a reliable basis for life determination and extension.

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Abstract

This invention discloses a method for compiling a life test spectrum for turbine guide vanes based on measured temperature spectra, relating to the field of load spectrum compilation technology for aero-engine components. The method includes preprocessing and small load removal to process the temperature spectrum of a typical flight profile and extract all temperature cycles, including temperature mean, temperature amplitude, and slope. The temperature amplitude, temperature mean, and slope are clustered to divide the temperature cycles into multiple levels of equivalent loads. The frequency of each level of equivalent load is determined based on the single damage of the equivalent load and the total damage of all points within the corresponding cluster. The loading order of the equivalent loads is determined by the temporal location distribution of all points within the cluster within the temperature spectrum, and the influence of the order between interactive loads is resolved through back-interpolation rules. This invention simultaneously considers the temporal location distribution of loads and the influence of interactive loads, reflecting the actual load magnitude, true sequence effect, and load distribution characteristics.
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