In this paper, A semi-physical method for calculating time varying mesh stiffness and the dynamic response of gear system based on experimental strain data is studied. In a previous work, it was reported that dynamic strain on gear tooth root can be measured under normal operating condition using fiber Bragg Grating (FBG) sensors. This paper aims to compute gear dynamic response using experimental strain data and give an explanation of the fault propagation process. Using the dynamic strain data from FBG sensors, a method for calculating the dynamic response of gear system is proposed. Based on the theory of potential energy and material mechanics, the relationship between the bending strain of the tooth root and the time varying mesh stiffness is established. The time varying mesh stiffness and dynamic response of healthy gear and pitted gear are then calculated respectively. The force transmission during gear mesh under the condition of surface pitting is analyzed. It is concluded that in the case of pitting fault, there will be a significant loss of torque in the power transmission process due to the loss of contact area. It is further inferred that the loss of meshing force and the decreasing of Hertzian contact stiffness are the major contributing factors for pitting fault. In addition, the semi-analytical method of computing gear dynamic response is validated with experimental study of acceleration signal in the perspective of dynamic response.
|Original language||English (US)|
|Title of host publication||Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM|
|Editors||N. Scott Clements, Bin Zhang, Abhinav Saxena|
|Publisher||Prognostics and Health Management Society|
|State||Published - Sep 23 2019|
|Event||11th Annual Conference of the Prognostics and Health Management Society, PHM 2019 - Scottsdale, United States|
Duration: Sep 23 2019 → Sep 26 2019
|Name||Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM|
|Conference||11th Annual Conference of the Prognostics and Health Management Society, PHM 2019|
|Period||9/23/19 → 9/26/19|
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