Experimental Research on the Surface Quality of Milling Contour Bevel Gears

Chinese Journal of Mechanical Engineering

Original Article

Yaonan Cheng¹  Jianyu Zhang¹  Chunjie Ma¹  Mingyang Wu¹  Yali Zhang¹ 

[1] School of Mechanical and Power Engineering, Harbin University of Science and Technology, 150080, Harbin, China;The Key Laboratory of National and Local United Engineering for “High-Efficiency Cutting and Tools”, 150080, Harbin, China;

关键词: Contour bevel gear;    Machined surface quality;    Surface roughness;    Surface defect;    Surface morphology;   

DOI  :  10.1186/s10033-022-00825-x

 received in 2021-11-28, accepted in 2022-11-28,  发布年份 2022

来源: Springer

【 摘 要 】

Contour bevel gears have the advantages of high coincidence, low noise and large bearing capacity, which are widely used in automobile manufacturing, shipbuilding and construction machinery. However, when the surface quality is poor, the effective contact area between the gear mating surfaces decreases, affecting the stability of the fit and thus the transmission accuracy, so it is of great significance to optimize the surface quality of the contour bevel gear. This paper firstly analyzes the formation process of machined surface roughness of contour bevel gears on the basis of generating machining method, and dry milling experiments of contour bevel gears are conducted to analyze the effects of cutting speed and feed rate on the machined surface roughness and surface topography of the workpiece. Then, the surface defects on the machined surface of the workpiece are studied by SEM, and the causes of the surface defects are analyzed by EDS. After that, XRD is used to compare the microscopic grains of the machined surface and the substrate material for diffraction peak analysis, and the effect of cutting parameters on the microhardness of the workpiece machined surface is investigated by work hardening experiment. The research results are of great significance for improving the machining accuracy of contour bevel gears, reducing friction losses and improving transmission efficiency.

【 授权许可】

CC BY   
© The Author(s) 2023

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