Uncertainty Control Method for Non-Uniform Wear of the Driving Mechanism of Flapping Wing Aircraft

Flapping wing aircrafts have demonstrated unique advantages in military and civil fields due to their bio-inspired flight mechanisms. However, non-uniform wear in driving mechanisms remains a critical reliability concern during prolonged operation. This study presents a stochastic wear prediction fr...

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Main Authors: Yujia Jin, Xingyu Chen, Keke Wang, Deyin Jiang, Jingyi Liu, Huan Pang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Drones
Subjects:
Online Access:https://www.mdpi.com/2504-446X/9/4/282
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author Yujia Jin
Xingyu Chen
Keke Wang
Deyin Jiang
Jingyi Liu
Huan Pang
author_facet Yujia Jin
Xingyu Chen
Keke Wang
Deyin Jiang
Jingyi Liu
Huan Pang
author_sort Yujia Jin
collection DOAJ
description Flapping wing aircrafts have demonstrated unique advantages in military and civil fields due to their bio-inspired flight mechanisms. However, non-uniform wear in driving mechanisms remains a critical reliability concern during prolonged operation. This study presents a stochastic wear prediction framework that systematically integrates joint clearance dynamics, contact force variations, and material interaction parameters. Through accelerated life testing with flight condition simulations, the method establishes quantitative correlations between multi-source variables and wear progression patterns. Experimental validation confirms the framework’s effectiveness in predicting asymmetric wear distribution, with comparative analysis showing significant improvements in prediction accuracy over conventional single-factor models. The results identify three dominant wear contributors: dynamic clearance fluctuations, impact force randomness, and material compatibility limitations. These findings directly support the development of adaptive lubrication systems and wear-resistant material selection guidelines, offering practical solutions for enhancing flapping wing aircrafts’ reliability in complex operational scenarios.
format Article
id doaj-art-54562d0bbec143f2a6473ca13c36dba5
institution DOAJ
issn 2504-446X
language English
publishDate 2025-04-01
publisher MDPI AG
record_format Article
series Drones
spelling doaj-art-54562d0bbec143f2a6473ca13c36dba52025-08-20T03:13:47ZengMDPI AGDrones2504-446X2025-04-019428210.3390/drones9040282Uncertainty Control Method for Non-Uniform Wear of the Driving Mechanism of Flapping Wing AircraftYujia Jin0Xingyu Chen1Keke Wang2Deyin Jiang3Jingyi Liu4Huan Pang5School of Sciences, Chang’an University, Xi’an 710064, ChinaSchool of Aeronautics, Northwestern Polytechnical University, Xi’an 710012, ChinaSchool of Aeronautics, Northwestern Polytechnical University, Xi’an 710012, ChinaSchool of Sciences, Chang’an University, Xi’an 710064, ChinaSchool of Sciences, Chang’an University, Xi’an 710064, ChinaSchool of Sciences, Chang’an University, Xi’an 710064, ChinaFlapping wing aircrafts have demonstrated unique advantages in military and civil fields due to their bio-inspired flight mechanisms. However, non-uniform wear in driving mechanisms remains a critical reliability concern during prolonged operation. This study presents a stochastic wear prediction framework that systematically integrates joint clearance dynamics, contact force variations, and material interaction parameters. Through accelerated life testing with flight condition simulations, the method establishes quantitative correlations between multi-source variables and wear progression patterns. Experimental validation confirms the framework’s effectiveness in predicting asymmetric wear distribution, with comparative analysis showing significant improvements in prediction accuracy over conventional single-factor models. The results identify three dominant wear contributors: dynamic clearance fluctuations, impact force randomness, and material compatibility limitations. These findings directly support the development of adaptive lubrication systems and wear-resistant material selection guidelines, offering practical solutions for enhancing flapping wing aircrafts’ reliability in complex operational scenarios.https://www.mdpi.com/2504-446X/9/4/282flapping driving mechanismnon-uniform weardynamic modelingwear failureactive learning kriging
spellingShingle Yujia Jin
Xingyu Chen
Keke Wang
Deyin Jiang
Jingyi Liu
Huan Pang
Uncertainty Control Method for Non-Uniform Wear of the Driving Mechanism of Flapping Wing Aircraft
Drones
flapping driving mechanism
non-uniform wear
dynamic modeling
wear failure
active learning kriging
title Uncertainty Control Method for Non-Uniform Wear of the Driving Mechanism of Flapping Wing Aircraft
title_full Uncertainty Control Method for Non-Uniform Wear of the Driving Mechanism of Flapping Wing Aircraft
title_fullStr Uncertainty Control Method for Non-Uniform Wear of the Driving Mechanism of Flapping Wing Aircraft
title_full_unstemmed Uncertainty Control Method for Non-Uniform Wear of the Driving Mechanism of Flapping Wing Aircraft
title_short Uncertainty Control Method for Non-Uniform Wear of the Driving Mechanism of Flapping Wing Aircraft
title_sort uncertainty control method for non uniform wear of the driving mechanism of flapping wing aircraft
topic flapping driving mechanism
non-uniform wear
dynamic modeling
wear failure
active learning kriging
url https://www.mdpi.com/2504-446X/9/4/282
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AT xingyuchen uncertaintycontrolmethodfornonuniformwearofthedrivingmechanismofflappingwingaircraft
AT kekewang uncertaintycontrolmethodfornonuniformwearofthedrivingmechanismofflappingwingaircraft
AT deyinjiang uncertaintycontrolmethodfornonuniformwearofthedrivingmechanismofflappingwingaircraft
AT jingyiliu uncertaintycontrolmethodfornonuniformwearofthedrivingmechanismofflappingwingaircraft
AT huanpang uncertaintycontrolmethodfornonuniformwearofthedrivingmechanismofflappingwingaircraft