Noise Prediction Study of Traction Arc Tooth Cylindrical Gears for New Generation High-Speed Electric Multiple Units

As the speed of new generation high-speed electric multiple units (EMU) increases, requirements for vibration and noise reduction in traction gear trains are becoming higher higher. Although most researchers have focused on mechanics analysis gears, actual has direct impact passenger experience safety. To address this problem, a type curved cylindrical is proposed to analyze dynamic characteristics pair predict its radiated based acoustic-vibration coupling theory using finite element-boundary element method. Parametric modeling CREO assembly motion were performed. ANSYS was used stress distribution, inherent frequency, pattern pair, harmonic response performed modal superposition method solve displacement frequency curve characteristics. ACTRAN construct free-field model, create acoustic excitation equation, set field points, noise. The research results show that mainly concentrated tooth meshing area, root mean square RMS range sound pressure level value 91–100 dB. Its values line with EMU, providing idea improving prediction gears which turn strongly support control EMU stock thus improve driving environment.