Journal cover Journal topic
Mechanical Sciences An open-access journal for theoretical and applied mechanics
Journal topic

Journal metrics

Journal metrics

  • IF value: 1.052 IF 1.052
  • IF 5-year value: 1.567 IF 5-year
    1.567
  • CiteScore value: 1.92 CiteScore
    1.92
  • SNIP value: 1.214 SNIP 1.214
  • IPP value: 1.47 IPP 1.47
  • SJR value: 0.367 SJR 0.367
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 18 Scimago H
    index 18
  • h5-index value: 16 h5-index 16
Supported by
Logo Library of Delft University of Technology Logo NWO
Affiliated to
Logo iftomm
Volume 6, issue 2
Mech. Sci., 6, 81-88, 2015
https://doi.org/10.5194/ms-6-81-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Mech. Sci., 6, 81-88, 2015
https://doi.org/10.5194/ms-6-81-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 03 Jul 2015

Research article | 03 Jul 2015

Influence of gear loss factor on the power loss prediction

C. M. C. G. Fernandes1, P. M. T. Marques1, R. C. Martins1, and J. H. O. Seabra2 C. M. C. G. Fernandes et al.
  • 1INEGI, Universidade do Porto, Campus FEUP, Rua Dr. Roberto Frias 400, 4200-465 Porto, Portugal
  • 2FEUP, Universidade do Porto, Rua Dr. Roberto Frias s/n, 4200-465 Porto, Portugal

Abstract. In order to accurately predict the power loss generated by a meshing gear pair the gear loss factor must be properly evaluated. Several gear loss factor formulations were compared, including the author's approach.

A gear loss factor calculated considering the load distribution along the path of contact was implemented.

The importance of the gear loss factor in the power loss predictions was put in evidence comparing the predictions with experimental results. It was concluded that the gear loss factor is a decisive factor to accurately predict the power loss. Different formulations proposed in the literature were compared and it was shown that only few were able to yield satisfactory correlations with experimental results. The method suggested by the authors was the one that promoted the most accurate predictions.

Publications Copernicus
Download
Short summary
The importance of the gear loss factor in the power loss predictions was put in evidence comparing the predictions with experimental results. It was concluded that the gear loss factor is a decisive factor to accurately predict the power loss. Different formulations proposed in the literature were compared and it was shown that only few were able to yield satisfactory correlations with experimental results.
The importance of the gear loss factor in the power loss predictions was put in evidence...
Citation
Share