Research on Stamping Crack Detection Method of Pulley Based on NOFRFs

Abstract Pulley is the key component in mechanical transmission systems, which may be prone to cracks during the stamping process. Detecting these defects is therefore critical. The nonlinear features of the system's fracture damage can be accurately reflected by nonlinear output frequency response functions (NOFRFs). In this study, the NOFRFs-based indices are employed for detecting stamping crack in components. The effects of two distinct excitation modes, harmonic excitation and pulse excitation, are compared. The sensitivity and stability of the NOFRF-based indices under harmonic excitation are higher. Under both excitation methods, the accuracy of the NOFRF-based damage detection indices exceeds 80%. Furthermore, this study finds that the single-frequency harmonic excitation, compared to swept-frequency harmonic excitation, can also achieve crack detection. Meanwhile, the accuracy of entropy index of the response signal is relatively low.

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Publication Details

Journal
Journal of Computational and Nonlinear Dynamics
Published
2025-12-12
DOI
https://doi.org/10.1115/1.4070634
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on Stamping Crack Detection Method of Pulley Based on NOFRFs

Weili Tang, Jie Gong, Xinxin Li, Jie Li
Journal of Computational and Nonlinear Dynamics
Machine Fault Diagnosis Techniques
article

Research on Stamping Crack Detection Method of Pulley Based on NOFRFs

Weili Tang, Jie Gong, Xinxin Li, Jie Li
article en

Abstract

Abstract Pulley is the key component in mechanical transmission systems, which may be prone to cracks during the stamping process. Detecting these defects is therefore critical. The nonlinear features of the system's fracture damage can be accurately reflected by nonlinear output frequency response functions (NOFRFs). In this study, the NOFRFs-based indices are employed for detecting stamping crack in components. The effects of two distinct excitation modes, harmonic excitation and pulse excitation, are compared. The sensitivity and stability of the NOFRF-based indices under harmonic excitation are higher. Under both excitation methods, the accuracy of the NOFRF-based damage detection indices exceeds 80%. Furthermore, this study finds that the single-frequency harmonic excitation, compared to swept-frequency harmonic excitation, can also achieve crack detection. Meanwhile, the accuracy of entropy index of the response signal is relatively low.

Journal of Computational and Nonlinear DynamicsVol. 21(5)
Guangxi University (CN), Nanning Normal University (CN)
Natural Science Foundation of Guangxi Province, Guangxi Key Lab of Manufacturing System and Advanced Manufacturing Technology
Openalex Percentile: Top 51%
Machine Fault Diagnosis Techniques
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