Development and research on electric vehicles in power transmission system are increasing as the demand for ecofriendly and autonomous vehicles increases across the industry. In order to reduce noise, research on high efficiency and low noise due to electrification of the gearbox system is being actively conducted, such as applying design technology to optimize the shape of the gear and increase rigidity. In particular, research on low noise is active because the noise of the electric gearbox could be easily recognized in a vehicle, even with small noise due to its frequency characteristics. Therefore, in this study, effects of main specifications of gears on noise and power loss were studied and analyzed through a Parametric Study. Characteristics of the proportional relationship between noise and power loss according to major specifications were analyzed. Based on study results, NVH analysis in the gear system was performed. After that, actual data were secured through test measurements and a noise reduction effect of 4.4 dB was confirmed.
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.
Citations
Citations to this article as recorded by
Development of a Prediction Model for the Gear Whine Noise of Transmission Using Machine Learning Sun-Hyoung Lee, Kwang-Phil Park International Journal of Precision Engineering and Manufacturing.2023; 24(10): 1793. CrossRef
Gears have been used as primary machine elements that comprise a power transmission system in many mechanical engineering fields. This paper presents research on the optimization of gear geometries. Drive unit consists of many spur gears in inner structure, and efficient alignment will be needed for fine performance of the unit. If mesh misalignments occur, load distribution would be unbalance and concentrated in one side. It is directly connected many problems such as banding deformation to shaft, gear and housing. As much as deformation occur these machine element’s duty cycle will be decreased. Moreover due to unbalanced load distribution, noise and transmission error cause serious defect on gear performance. In order to solve this matter, it is necessary to modify tooth profile for balanced load distribution. There are two different solutions. One is micro-geometry optimization and the other is macro-geometry optimization. In this paper we choose the first one because it just takes minimum gear modification but more effective. To implement this, the latest simulation technology will be used and it allows not only the defection of gear mesh misalignments but also how to modify gear profile and lead slope. Before make prototype gear production, it provides more helpful information.
Citations
Citations to this article as recorded by
Influence of Open Differential Design on the Mass Reduction Function Mirko Karakašić, Pejo Konjatić, Hrvoje Glavaš, Ivan Grgić Applied Sciences.2023; 13(24): 13300. CrossRef
A Study on the Optimum Design of Planetary Gear Train for Air-Starting Motor Nam-Yong Kim, Seong-Bae Park, Sung-Ki Lyu Journal of the Korean Society of Manufacturing Process Engineers.2022; 21(12): 135. CrossRef
A Study on the Optimal Design of Drive Gear for Transfer Gearbox MyeongJin Song, MyeongHo Kim, Zhen Qin, DongSeon Kim, NamSool Jeon, SungKi Lyu Journal of the Korean Society for Precision Engineering.2019; 36(2): 121. CrossRef
Study on the Reduction of Gear Whine Noise in Diesel Engine Gear Train Qi Zhang, Yong Bo Wang, Jian Hua Lv, Zhong Gang Zhu, Zhen Qin, Sung Ki Lyu Journal of the Korean Society for Precision Engineering.2019; 36(9): 867. CrossRef
A Review of Recent Advances in Design Optimization of Gearbox Zhen Qin, Yu-Ting Wu, Sung-Ki Lyu International Journal of Precision Engineering and Manufacturing.2018; 19(11): 1753. CrossRef
A popular approach to optimize the performance of a gear transmission system is the modification of the gear tooth microgeometry, which includes the intentional removal of material from the gear teeth flanks, so that the shape is no longer a perfect involute. Such modifications compensate teeth deflections under load, and the resulting transmission error is minimized under a specific torque. Therefore, micro-geometry modifications can be applied on the involute (or profile) and lead of the gear teeth. In order to study the tooth micro-geometry optimization, this research selected a mass produced planetary gear type drive reducer as a prototype. The original design was modeled by a commercial software named Romax Designer, which analyzes and optimizes different types of gear power transmission systems. The series analysis results obtained reveal some anomalies that require modification. Based on the result, optimization and gear tooth modification were done to deal with the load distributions on gear tooth, gear durability problem, safety factor and bearing life problem. This thesis presents the outstanding performance improvement obtained after such optimization.
Citations
Citations to this article as recorded by
Development of a Prediction Model for the Gear Whine Noise of Transmission Using Machine Learning Sun-Hyoung Lee, Kwang-Phil Park International Journal of Precision Engineering and Manufacturing.2023; 24(10): 1793. CrossRef
Influence of Open Differential Design on the Mass Reduction Function Mirko Karakašić, Pejo Konjatić, Hrvoje Glavaš, Ivan Grgić Applied Sciences.2023; 13(24): 13300. CrossRef
Large Curvic Coupling Gear for Ultraprecision Angle Division Using FEM Yoon-Soo Jung, Jia-Chen Gao, Gyung-Il Lee, Ku-Rak Jung, Jae-Yeol Kim International Journal of Precision Engineering and Manufacturing.2021; 22(3): 495. CrossRef
A Review of Recent Advances in Design Optimization of Gearbox Zhen Qin, Yu-Ting Wu, Sung-Ki Lyu International Journal of Precision Engineering and Manufacturing.2018; 19(11): 1753. CrossRef
Simulation and Experimental Analysis for Noise Reduction of a Scooter Gearbox Qi Zhang, Jing Zhang, Zhong Hua Liu, Jian Hua Lv, Zhen Qin, Sung Ki Lyu Journal of the Korean Society for Precision Engineering.2018; 35(8): 777. CrossRef
First
Prev
