Grant: Discovery Grants Program - Individual
Memorial University of Newfoundland
$22,000.00
Dynamics and Fatigue Analysis of Planetary Gear Trains under Random Loading
EF 2019-20
Résumé
Planetary Gear Trains (PGTs) are widely used in industry and many other applications. In some of the applications, the loads to which the PGTs are subjected are random/stochastic. Two representative scenarios where PGTs are used as a transmission unit, and subjected to random loads include wind turbines in wind energy industry and directional drilling in oil and gas industry. Fatigue caused by the vibration in these systems is a outstanding issue in the industries, and has huge economical consequence. However, the random nature of the vibration stresses largely hinders accurate fatigue prediction and proper fatigue management. ***The proposed research intends to systematically investigate the dynamics of PGTs under random loads, and develop effective fatigue prediction methods. Based on the two cases above, the internal excitations which are common to all PGTs and the external excitations which vary for different applications will be modeled as random processes. Experiments will be carried out to characterize the external excitation in drilling for which little is known at present. Then the statistics of the responses, including displacement, velocity, stresses and strains, could be solved for with numerical and analytic methods. These statistic information constitutes the basis for further fatigue prediction. It is expected that, through this proposed research, the reliability and fatigue life of PGTs in both wind turbines and drilling could be improved. The long term goal is to develop a theoretical framework for random dynamics of PGTs in general random context; thus, the method and algorithms can be applied to and benefit broader applications, such as applications in off-shore engineering and land vehicles. *** **
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Newfoundland and Labrador, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2015-04261
Name nom
Yang, Jianming
Department département
Engineering and Applied Science, Faculty of
Organization id
89
Institution établissement
Memorial University of Newfoundland
Province en
Newfoundland and Labrador
Province fr
Terre-Neuve-et-Labrador
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2015
Award amount
22000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1512
Committee name en
Mechanical Engineering
Committee name fr
Génie mécanique
Area of application code
300
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Energy resources (including production, exploration, processing, distribution and use)
Area of application fr
Ressources d'énergie (production, exploration, traitement, distribution et utilisation de l'énergie)
Research subject code
2102
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Dynamics
Research subject fr
Dynamique
Installment
inst:5 - 5
Partie
5
Nb partie
5
Application title
Dynamics and Fatigue Analysis of Planetary Gear Trains under Random Loading
Keyword
NSERC
Application summary
Planetary Gear Trains (PGTs) are widely used in industry and many other applications. In some of the applications, the loads to which the PGTs are subjected are random/stochastic. Two representative scenarios where PGTs are used as a transmission unit, and subjected to random loads include wind turbines in wind energy industry and directional drilling in oil and gas industry. Fatigue caused by the vibration in these systems is a outstanding issue in the industries, and has huge economical consequence. However, the random nature of the vibration stresses largely hinders accurate fatigue prediction and proper fatigue management. ***The proposed research intends to systematically investigate the dynamics of PGTs under random loads, and develop effective fatigue prediction methods. Based on the two cases above, the internal excitations which are common to all PGTs and the external excitations which vary for different applications will be modeled as random processes. Experiments will be carried out to characterize the external excitation in drilling for which little is known at present. Then the statistics of the responses, including displacement, velocity, stresses and strains, could be solved for with numerical and analytic methods. These statistic information constitutes the basis for further fatigue prediction. It is expected that, through this proposed research, the reliability and fatigue life of PGTs in both wind turbines and drilling could be improved. The long term goal is to develop a theoretical framework for random dynamics of PGTs in general random context; thus, the method and algorithms can be applied to and benefit broader applications, such as applications in off-shore engineering and land vehicles. *** **