GLODEŽ, Srečko ;FLAŠKER, Jože ;PEHAN, Stanislav . Prediction of Service Life of Spur Gears Using Statistical Methods. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 40, n.11-12, p. 393-400, november 2017. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/article/prediction-of-service-life-of-spur-gears-using-statistical-methods/>. Date accessed: 08 oct. 2024. doi:http://dx.doi.org/.
Glodež, S., Flašker, J., & Pehan, S. (1994). Prediction of Service Life of Spur Gears Using Statistical Methods. Strojniški vestnik - Journal of Mechanical Engineering, 40(11-12), 393-400. doi:http://dx.doi.org/
@article{., author = {Srečko Glodež and Jože Flašker and Stanislav Pehan}, title = {Prediction of Service Life of Spur Gears Using Statistical Methods}, journal = {Strojniški vestnik - Journal of Mechanical Engineering}, volume = {40}, number = {11-12}, year = {1994}, keywords = {Statistical Methods; Spur Gears; }, abstract = {A spur gear pair from the first stage of a TAM 130T11B industrial vehicle gear box was subjected to experimental testing. The effects of different load distributions along the gear tooth width on fatigue crack growth in the gear tooth root are measured on an universal INSTRON 1255 testing device. The recorded experimental results are presented using methods of statistical analysis. This allows an easier and more understandable presentation of results of fatigue crack propagation along the entire width of the tooth. Analysing the results proves that different load distributions along the tooth width have a significant influence on crack growth and thus on the service life of the gear. Since the experiments provide a three-dimensional experimental analysis of fatigue crack propagation in the tooth root, the results of such an analysis can be used for calibrating the numerical simulation of similar problems.}, issn = {0039-2480}, pages = {393-400}, doi = {}, url = {https://www.sv-jme.eu/article/prediction-of-service-life-of-spur-gears-using-statistical-methods/} }
Glodež, S.,Flašker, J.,Pehan, S. 1994 November 40. Prediction of Service Life of Spur Gears Using Statistical Methods. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 40:11-12
%A Glodež, Srečko %A Flašker, Jože %A Pehan, Stanislav %D 1994 %T Prediction of Service Life of Spur Gears Using Statistical Methods %B 1994 %9 Statistical Methods; Spur Gears; %! Prediction of Service Life of Spur Gears Using Statistical Methods %K Statistical Methods; Spur Gears; %X A spur gear pair from the first stage of a TAM 130T11B industrial vehicle gear box was subjected to experimental testing. The effects of different load distributions along the gear tooth width on fatigue crack growth in the gear tooth root are measured on an universal INSTRON 1255 testing device. The recorded experimental results are presented using methods of statistical analysis. This allows an easier and more understandable presentation of results of fatigue crack propagation along the entire width of the tooth. Analysing the results proves that different load distributions along the tooth width have a significant influence on crack growth and thus on the service life of the gear. Since the experiments provide a three-dimensional experimental analysis of fatigue crack propagation in the tooth root, the results of such an analysis can be used for calibrating the numerical simulation of similar problems. %U https://www.sv-jme.eu/article/prediction-of-service-life-of-spur-gears-using-statistical-methods/ %0 Journal Article %R %& 393 %P 8 %J Strojniški vestnik - Journal of Mechanical Engineering %V 40 %N 11-12 %@ 0039-2480 %8 2017-11-11 %7 2017-11-11
Glodež, Srečko, Jože Flašker, & Stanislav Pehan. "Prediction of Service Life of Spur Gears Using Statistical Methods." Strojniški vestnik - Journal of Mechanical Engineering [Online], 40.11-12 (1994): 393-400. Web. 08 Oct. 2024
TY - JOUR AU - Glodež, Srečko AU - Flašker, Jože AU - Pehan, Stanislav PY - 1994 TI - Prediction of Service Life of Spur Gears Using Statistical Methods JF - Strojniški vestnik - Journal of Mechanical Engineering DO - KW - Statistical Methods; Spur Gears; N2 - A spur gear pair from the first stage of a TAM 130T11B industrial vehicle gear box was subjected to experimental testing. The effects of different load distributions along the gear tooth width on fatigue crack growth in the gear tooth root are measured on an universal INSTRON 1255 testing device. The recorded experimental results are presented using methods of statistical analysis. This allows an easier and more understandable presentation of results of fatigue crack propagation along the entire width of the tooth. Analysing the results proves that different load distributions along the tooth width have a significant influence on crack growth and thus on the service life of the gear. Since the experiments provide a three-dimensional experimental analysis of fatigue crack propagation in the tooth root, the results of such an analysis can be used for calibrating the numerical simulation of similar problems. UR - https://www.sv-jme.eu/article/prediction-of-service-life-of-spur-gears-using-statistical-methods/
@article{{}{.}, author = {Glodež, S., Flašker, J., Pehan, S.}, title = {Prediction of Service Life of Spur Gears Using Statistical Methods}, journal = {Strojniški vestnik - Journal of Mechanical Engineering}, volume = {40}, number = {11-12}, year = {1994}, doi = {}, url = {https://www.sv-jme.eu/article/prediction-of-service-life-of-spur-gears-using-statistical-methods/} }
TY - JOUR AU - Glodež, Srečko AU - Flašker, Jože AU - Pehan, Stanislav PY - 2017/11/11 TI - Prediction of Service Life of Spur Gears Using Statistical Methods JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 40, No 11-12 (1994): Strojniški vestnik - Journal of Mechanical Engineering DO - KW - Statistical Methods, Spur Gears, N2 - A spur gear pair from the first stage of a TAM 130T11B industrial vehicle gear box was subjected to experimental testing. The effects of different load distributions along the gear tooth width on fatigue crack growth in the gear tooth root are measured on an universal INSTRON 1255 testing device. The recorded experimental results are presented using methods of statistical analysis. This allows an easier and more understandable presentation of results of fatigue crack propagation along the entire width of the tooth. Analysing the results proves that different load distributions along the tooth width have a significant influence on crack growth and thus on the service life of the gear. Since the experiments provide a three-dimensional experimental analysis of fatigue crack propagation in the tooth root, the results of such an analysis can be used for calibrating the numerical simulation of similar problems. UR - https://www.sv-jme.eu/article/prediction-of-service-life-of-spur-gears-using-statistical-methods/
Glodež, Srečko, Flašker, Jože, AND Pehan, Stanislav. "Prediction of Service Life of Spur Gears Using Statistical Methods" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 40 Number 11-12 (11 November 2017)
Strojniški vestnik - Journal of Mechanical Engineering 40(1994)11-12, 393-400
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
A spur gear pair from the first stage of a TAM 130T11B industrial vehicle gear box was subjected to experimental testing. The effects of different load distributions along the gear tooth width on fatigue crack growth in the gear tooth root are measured on an universal INSTRON 1255 testing device. The recorded experimental results are presented using methods of statistical analysis. This allows an easier and more understandable presentation of results of fatigue crack propagation along the entire width of the tooth. Analysing the results proves that different load distributions along the tooth width have a significant influence on crack growth and thus on the service life of the gear. Since the experiments provide a three-dimensional experimental analysis of fatigue crack propagation in the tooth root, the results of such an analysis can be used for calibrating the numerical simulation of similar problems.