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A dataset of measured machining deviations of compressor rotor blades
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  • Published: 16 February 2026

A dataset of measured machining deviations of compressor rotor blades

  • Limin Gao  ORCID: orcid.org/0000-0001-7137-53421,2 na1,
  • Yue Dan1 na1,
  • Haohao Wang3,
  • Ruiyu Li1 &
  • …
  • Guang Yang1 

Scientific Data , Article number:  (2026) Cite this article

  • 436 Accesses

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Aerospace engineering
  • Mechanical engineering

Abstract

The uncertainty in blade machining deviations leads to the offset in the average performance and the performance scatter of aero-engine compressors, posing a threat to the safe operation of engines. Therefore, quantifying the uncertainty effects of machining deviations is critically important. However, due to factors such as prolonged inspection cycles and high costs, geometric data on blade machining deviations remain scarce. Most uncertainty quantification analyses are conducted under assumed statistical distributions of deviations, making it difficult to guarantee the accuracy of the quantification. In this paper, a dataset of measured machining deviations of 100 compressor rotor blades is presented. And it includes 7 types of machining deviations of 13 blade sections from blade root to tip. The work fills a critical gap in available geometric deviation data for compressor rotor blades, and provides a reliable foundation for subsequent uncertainty quantification investigation.

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Data availability

The data can be accessed at https://doi.org/10.57760/sciencedb.27122.

Code availability

No custom code is generated for this research. The measurement and analysis procedures comply with the corresponding manual, and the statistical methods employed are conventional.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (No. 92152301), the National Natural Science Foundation of China (No. U2241249), the National Science and Technology Major Project (No. J2019-II-0016-0037) and the Foundation of Rotor Aerodynamics Key Laboratory (No. RAL202402-5).

Author information

Author notes
  1. These authors contributed equally: Limin Gao, Yue Dan.

Authors and Affiliations

  1. School of Power and Energy, Northwestern Polytechnical University, Xi’an, 710129, China

    Limin Gao, Yue Dan, Ruiyu Li & Guang Yang

  2. Science and Technology on Altitude Simulation Laboratory, Mianyang, 621000, China

    Limin Gao

  3. AVIC Xi’an Aircraft Industry Group Company LTD, Xi’an, 710089, China

    Haohao Wang

Authors
  1. Limin Gao
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Contributions

Limin Gao and Yue Dan contributed to data collection and processing. Haohao Wang contributed to the data analyzing. Ruiyu Li and Guang Yang reviewed the statements of data records. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Limin Gao.

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The authors declare no competing interests.

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Cite this article

Gao, L., Dan, Y., Wang, H. et al. A dataset of measured machining deviations of compressor rotor blades. Sci Data (2026). https://doi.org/10.1038/s41597-026-06846-8

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  • Received: 10 September 2025

  • Accepted: 05 February 2026

  • Published: 16 February 2026

  • DOI: https://doi.org/10.1038/s41597-026-06846-8

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