기어시스템에서 설계변수에 따른 전달오차와 물림강성 해석 = Transmission Error and Meshing Stiffness Analysis due to Design Parameter in Gear System

다국어 초록 (Multilingual Abstract)

The gear has a wide range of transmitted force as various gear ratios are possible using a combination of teeth. It can transmit power reliably and cause relatively little vibration and noise. For this reason, the application of reducers of electric vehicles is being expanded. Vibration noise generated from gears is propagated into the quiet interior of a vehicle, causing various claims. In most gear studies, transmission error has been pointed out as the main cause of vibration noise of gears. Transmission errors have various causes, including design factors, manufacturing factors, and assembly factors. In general, when predicting transmission error through finite element analysis, design factors play an important role without considering manufacturing factors or assembly factors. In this study, relationships among important design variables (gear module, compensation rate, load torque, and transmission error) in gear design were investigated using analytical and experimental methods. In addition, a method of predicting gear meshing stiffness through the predicted gear transmission error was proposed to obtain variation of meshing stiffness due to changes of gear design parameters.

참고문헌 (Reference)

1 Rigaud, E., "Modelling and analysis of static transmission error. Effect of wheel body deformation and interactions between adjacent loaded teeth" 1961-1972, 1999

2 Perret-Liaudet, J., "Modeling of gearbox whining noise" SAE

3 Åkerblom, M., "Gear noise and vibration: A literature survey" Digitala Vetenskapliga Arkivet

4 Raghuwanshi, N. K., "Experimental measurement of spur gear mesh stiffness using digital image correlation techniquem" 111 : 93-104, 2017

5 Curtis, S., "An analytical method to reduce gear whine noise, including validation with test data" SAE 2195-2202, 2005

6 Dassault Systems, "Abaqus analysis user’s manual"

7 Endo H., "A study of gear faults by simulation and the development of differential diagnostic techniques" UNSW Sydney 2005