Corrosion Science and Technology

The Corrosion Science Society of Korea (한국부식방식학회)
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Algorithm for Determining Aircraft Washing Intervals Using Atmospheric Corrosion Monitoring of Airbase Data and an Artificial Neural Network

인공신경망과 대기부식환경 모니터링 데이터를 이용한 항공기 세척주기 결정 알고리즘

  • Hyeok-Jun Kwon (Department of Materials Science and Engineering, Yonsei University) ;
  • Dooyoul Lee (Department of Defense Science, Korea National Defense University)
  • 권혁준 (연세대학교 신소재공학과) ;
  • 이두열 (국방대학교 국방과학학과)
  • Received : 2022.12.05
  • Accepted : 2023.06.13
  • Published : 2023.10.30
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Abstract

Aircraft washing is performed periodically for corrosion control. Currently, the aircraft washing interval is qualitatively set according to the geographical conditions of each base. We developed a washing interval determination algorithm based on atmospheric corrosion environment monitoring data at the Republic of Korea Air Force (ROKAF) bases and United States Air Force (USAF) bases to determine the optimal interval. The main factors of the washing interval decision algorithm were identified through hierarchical clustering, sensitivity analysis, and analysis of variance, and criteria were derived. To improve the classification accuracy, we developed a washing interval decision model based on an artificial neural network (ANN). The ANN model was calibrated and validated using the atmospheric corrosion environment monitoring data and washing intervals of the USAF bases. The new algorithm returned a three-level washing interval, depending on the corrosion rate of steel and the results of the ANN model. A new base-specific aircraft washing interval was proposed by inputting the atmospheric corrosion environment monitoring results of the ROKAF bases into the algorithm.

Keywords

Acknowledgement

본 연구는 국고(공군 항공기술연구소)의 지원으로 수행되었습니다.

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