Gear Health Algorithm Solution For Drive System Design And Operations
Rajasekhar Pulikollu, Sentient Science Corporation
May 17, 2016
Gear Health Algorithm Solution For Drive System Design And Operations
- Presented at Forum 72
- 8 pages
- SKU # : 72-2016-355
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Gear Health Algorithm Solution For Drive System Design And Operations
Authors / Details: Rajasekhar Pulikollu, Sentient Science CorporationAbstract
This paper summarizes the development and implementation of material-based prognostic technology for modeling fatigue damage in rotorcraft drive system rotating components considering manufacturing process, contact pattern, lubrication effects, stresses, microstructure, and material variability. The AMS 6265 and AMS 6308 prognostic models were developed and applied to predict contact and bending fatigue damage in the planetary gear system. Prognostic model was verified by comparing fatigue life simulation results with industry test data. Prognostic model results were demonstrated and designed for integration with onboard and offboard elements of industry health monitoring/management systems. This paper includes details on predicting contact fatigue and bending fatigue life, endurance limits, maximum continuous power (MCP) rating, and overload effects. Prognostic model results show the application of this gear health algorithm solution in rotorcraft drive system transmission gear design, inspection, maintenance, and recommendation of safe operational powers.
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Gear Health Algorithm Solution For Drive System Design And Operations
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