Stiffness Modeling of Tooth Interior Fatigue and Tooth Flank Fracture and Their Fault Characteristics in Electromechanical Coupling Systems

Tooth flank fracture (TFF) and tooth interior fatigue fracture (TIFF) usually occur on case-harden gears in electromechanical coupling systems, both starting from the core caused by metal fatigue. The cracks propagate rapidly compared with the total life of a gear, so that it is necessary to detect...

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Main Authors: Lin Han, Dianrui Wang, Muhammad Anwar Jan, Fuchun Yang
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2024/9931058
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author Lin Han
Dianrui Wang
Muhammad Anwar Jan
Fuchun Yang
author_facet Lin Han
Dianrui Wang
Muhammad Anwar Jan
Fuchun Yang
author_sort Lin Han
collection DOAJ
description Tooth flank fracture (TFF) and tooth interior fatigue fracture (TIFF) usually occur on case-harden gears in electromechanical coupling systems, both starting from the core caused by metal fatigue. The cracks propagate rapidly compared with the total life of a gear, so that it is necessary to detect and identify the faults in time when they take place in order to avoid danger. In this paper, the time-varying mesh stiffness model of two types of faults is established by the potential energy method and validating by the finite element method. Based on the stiffness model, the influence of faults on the electromechanical system and their fault characteristics are analyzed, which provides a theoretical basis for the health detection of electromechanical coupling systems. The results indicate that in the early stage of the three faults, i.e., tooth root fracture, tooth interior fatigue fracture, and tooth flank fracture, it is hard to discriminate the faults. But after the second stage, the faults can be distinguished by the vibration amplitude, frequency band components, and phase diagrams. The TFF can be discerned into different stages by frequency domains and phase diagrams. When the fracture occurs completely, three faults can be easily distinguished by the time domain and phase diagram. In the frequency domain, the TRF can also be distinguished from the other two faults by referring to the sideband component near the meshing frequency.
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spelling doaj-art-4e254b92386a4f8db477a6c3d6841a072025-08-20T02:38:46ZengWileyShock and Vibration1875-92032024-01-01202410.1155/2024/9931058Stiffness Modeling of Tooth Interior Fatigue and Tooth Flank Fracture and Their Fault Characteristics in Electromechanical Coupling SystemsLin Han0Dianrui Wang1Muhammad Anwar Jan2Fuchun Yang3Key Laboratory of High Efficiency and Clean Mechanical Manufacture of MOEKey Laboratory of High Efficiency and Clean Mechanical Manufacture of MOEKey Laboratory of High Efficiency and Clean Mechanical Manufacture of MOEKey Laboratory of High Efficiency and Clean Mechanical Manufacture of MOETooth flank fracture (TFF) and tooth interior fatigue fracture (TIFF) usually occur on case-harden gears in electromechanical coupling systems, both starting from the core caused by metal fatigue. The cracks propagate rapidly compared with the total life of a gear, so that it is necessary to detect and identify the faults in time when they take place in order to avoid danger. In this paper, the time-varying mesh stiffness model of two types of faults is established by the potential energy method and validating by the finite element method. Based on the stiffness model, the influence of faults on the electromechanical system and their fault characteristics are analyzed, which provides a theoretical basis for the health detection of electromechanical coupling systems. The results indicate that in the early stage of the three faults, i.e., tooth root fracture, tooth interior fatigue fracture, and tooth flank fracture, it is hard to discriminate the faults. But after the second stage, the faults can be distinguished by the vibration amplitude, frequency band components, and phase diagrams. The TFF can be discerned into different stages by frequency domains and phase diagrams. When the fracture occurs completely, three faults can be easily distinguished by the time domain and phase diagram. In the frequency domain, the TRF can also be distinguished from the other two faults by referring to the sideband component near the meshing frequency.http://dx.doi.org/10.1155/2024/9931058
spellingShingle Lin Han
Dianrui Wang
Muhammad Anwar Jan
Fuchun Yang
Stiffness Modeling of Tooth Interior Fatigue and Tooth Flank Fracture and Their Fault Characteristics in Electromechanical Coupling Systems
Shock and Vibration
title Stiffness Modeling of Tooth Interior Fatigue and Tooth Flank Fracture and Their Fault Characteristics in Electromechanical Coupling Systems
title_full Stiffness Modeling of Tooth Interior Fatigue and Tooth Flank Fracture and Their Fault Characteristics in Electromechanical Coupling Systems
title_fullStr Stiffness Modeling of Tooth Interior Fatigue and Tooth Flank Fracture and Their Fault Characteristics in Electromechanical Coupling Systems
title_full_unstemmed Stiffness Modeling of Tooth Interior Fatigue and Tooth Flank Fracture and Their Fault Characteristics in Electromechanical Coupling Systems
title_short Stiffness Modeling of Tooth Interior Fatigue and Tooth Flank Fracture and Their Fault Characteristics in Electromechanical Coupling Systems
title_sort stiffness modeling of tooth interior fatigue and tooth flank fracture and their fault characteristics in electromechanical coupling systems
url http://dx.doi.org/10.1155/2024/9931058
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AT dianruiwang stiffnessmodelingoftoothinteriorfatigueandtoothflankfractureandtheirfaultcharacteristicsinelectromechanicalcouplingsystems
AT muhammadanwarjan stiffnessmodelingoftoothinteriorfatigueandtoothflankfractureandtheirfaultcharacteristicsinelectromechanicalcouplingsystems
AT fuchunyang stiffnessmodelingoftoothinteriorfatigueandtoothflankfractureandtheirfaultcharacteristicsinelectromechanicalcouplingsystems