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.
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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.
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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
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