Modeling and monitoring of tooth fillet crack growth in dynamic simulation of spur gear set

Guilbault, Raynald; Lalonde, Sébastien; Thomas, Marc

doi:10.1016/j.jsv.2015.01.008

Cited by 13 publications

(4 citation statements)

References 26 publications

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“…By combining rotational motions with varying contact conditions, Sfakiotakis and Anifantis [14] developed a new numerical program to investigate stress singularities during the fracture process of the gear tooth. In order to simulate crack closure effects based on the Paris-Erdogan equation, Guilbault et al [15] developed a procedure for detecting the crack propagation path under the scope of LEFM, and verified the method by comparing the published numerical and experimental results [16].…”

Section: D Gear Modelsmentioning

confidence: 99%

Review on dynamics of cracked gear systems

Zeng

Feng

et al. 2015

Engineering Failure Analysis

271

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Section: D Gear Modelsmentioning

confidence: 99%

Review on dynamics of cracked gear systems

Zeng

Feng

et al. 2015

Engineering Failure Analysis

271

View full text Add to dashboard Cite

“…Among industry and academy the gear tooth crack mechanism have received increasing interests in the past decade [7], and many researches have investigated Fig. 4 Curve of magnitude-frequency characteristic of the main resonance of the coal cutter gear system with different amplitudes of the second force dynamic characteristics of cracked gears from aspects of material poverties, loading conditions and manufacturing errors [8][9][10][11][12][13][14][15][16]. Yu et al [17] investigated the effects of cracked gear tooth on mesh stiffness.…”

Section: Introductionmentioning

confidence: 99%

The nonlinear dynamics response of cracked gear system in a coal cutter taking environmental multi-frequency excitation forces into consideration

Zhu

et al. 2015

Nonlinear Dyn

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The normal operation of gear systems ensures the power transmission in coal cutters. Due to harsh work environment, the gears in coal cutters are prone to crack. By analyzing the gear dynamic response, useful crack detection indicators could be obtained. The literature review indicates that most of the gear dynamic models have been built with singlefrequency excitation, but very limited work has considered multi-frequency excitations. The coal cutter gear systems are always subjected to multi-frequency excitations. Hence, a nonlinear gear dynamic model taking multi-frequency excitations into account was established in this work. A meshing stiffness coefficient was defined to model the crack fault influence on the gear model. The amplitude-frequency of the model main resonance was analyzed by means of multi-scale method, and the model dynamic response was calculated by the incremental harmonic balance method. Numerical simulation results show that the dynamic response of the presented gear model provided strong chaotic characteristics and the chaotic degree of the gear dynamics increased with the deterioration of the crack level. Experimental validation was carried out on a real gearbox, and the analysis results were consistent with the simulations. Hence, the simulation and experimental analysis demonstrates that the multi-frequency excitation-based gear dynamic model was more correct than the single-frequency excitation-based model in representing the system dynamics.

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“…Figure 1 presents the flowchart of the whole gear dynamic–degradation model. References [ 19 , 20 ] offer a complete description of the gear non-linear dynamic modeling part. Therefore, since the present paper concentrates on the optimization aspect of the profile correction design, the gear non-linear dynamic modeling segment is not detailed here.…”

Section: Summary Of the Gear Modelmentioning

confidence: 99%

Tip relief designed to optimize contact fatigue life of spur gears using adapted PSO and Firefly algorithms

Guilbault

Lalonde

2021

SN Appl. Sci.

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This paper examines the dynamic performances of circular profile modifications designed to optimize the contact fatigue life of spur gears. It combines the PSO and Firefly metaheuristics to a gear dynamic/degradation model. The objectives are to analyse the ability of optimal corrections to reduce dynamic loads and dynamic transmission error (DTE), and to describe the influence of the modification variables. To reduce computation efforts, the study modifies the original metaheuristics. In the proposed adaptation of the Firefly algorithm, the particle movement hinges on the brightest firefly perceived through the light-absorbing medium. This change reduces the number of function evaluations per iteration. The analysis shows that while the correction length is more influential, both modification amount and length alter the gear behavior, whereas the curvature radius influence remains modest. Curved corrections are more effective in ameliorating contact fatigue life, whereas larger curvature radii are better at reducing the DTE. Compared to the original gear set, the PSO and Firefly versions showed that optimized modifications engender substantial enhancements of the fatigue resistance. Moreover, optimal profiles also reduce both DTE and dynamic factors, but the inverse cannot be assumed.

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Modeling and monitoring of tooth fillet crack growth in dynamic simulation of spur gear set

Cited by 13 publications

References 26 publications

Review on dynamics of cracked gear systems

Review on dynamics of cracked gear systems

The nonlinear dynamics response of cracked gear system in a coal cutter taking environmental multi-frequency excitation forces into consideration

Tip relief designed to optimize contact fatigue life of spur gears using adapted PSO and Firefly algorithms

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