Paradigm change in cylindrical gear metrology using  areal measurement and evaluation

Goch, G.; Ni, Kang; Yue, Peng; Günther, A.

doi:10.51202/9783181022948-1025

Cited by 3 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, during engagement helical gears contact over an entire tooth flank surface with a contact line at an inclination related to the helix angle and it may not be sufficient to use the harmonic content of single traces as a indicator of true performance. Although extension of standard evaluations from traces to areal data has been suggested [4,5] and described in an recent overview of state of the art along with measurement technologies required [6], the harmonic evaluation of gear flank surfaces has not been investigated significantly. Use of point cloud data and the use of the harmonic transforms was investigated in [7], with the inversion method being showcased in more detail in [8].…”

Section: Introductionmentioning

confidence: 99%

Characterisation and evaluation of the harmonic content of involute gear surface deviations

Reavie,

Frazer,

Przyklenk

et al. 2024

Eng. Res. Express

View full text Add to dashboard Cite

Gears are fundamental precision components that are crucial to many industries, including the wind energy sector.They are traditionally analysed using profile and helix line measurements but this does not consider the majority of the contacting surface with intricate surface variations that dictate functional performance.Practical measurement and evaluation of involute gear surfaces remain underexplored.This paper uses the Fourier and wavelet transforms to evaluate measured gear surface deviation harmonic content for a single trace, a trace set, and surface analysis and describes the utility of each.The methods are first demonstrated with synthetic data and then with measured data, then the measured data is simulated in a quasi-static FE tooth contact analysis, which yields insights not solely gleaned from harmonic analysis.The uncertainty of harmonic content analysis is to be established in future work, but the uncertainty of the simulated functional performance may be a more useful metric for measurement.

show abstract

Section: Introductionmentioning

confidence: 99%