会议论文详细信息
International Conference on Manufacturing Technology, Materials and Chemical Engineering
The influence of roller motion on profile and hardness of T2 worm
机械制造;材料科学;化学工业
Yuan, Wenjing^1 ; Zhang, Qi^2 ; Jia, Lixin^1 ; Tian, Haobin^1
College of Engineering, Shanghai Polytechnic University, Shanghai
201209, China^1
School of Mechanical Engineering, Xi'An Jiao Tong University, Xi'an
710049, China^2
关键词: Axis displacements;    Gear parameter;    Hardness distribution;    Rolling process;    Strain distributions;    Strain variation;    Streamline distributions;    Unidirectional rotation;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/392/2/022022/pdf
DOI  :  10.1088/1757-899X/392/2/022022
学科分类:材料科学(综合)
来源: IOP
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【 摘 要 】

The rolling process of T2 worm is studied by numerical simulation and experiment in this paper. The rolling forming of the worm part is realized by using the two rollers forming method with parallel axes and the radial feed at the same time as rotation. Firstly, the influence of the unidirectional rotation and reciprocating rotation of the roller on the hardness of the teeth, the strain distribution and the streamline distribution of the worm are analyzed. The results show that in numerical simulation, the tooth shape of reciprocating rolling workpiece is symmetrical according to the central axis of the tooth, and the workpiece has no axis displacement. The hardness distribution of both sides of the tooth of the reciprocating rolling workpiece is more uniform than that of the unidirectional rolling workpiece, and the streamline distribution is more uniform and symmetrical. The strain variation in the numerical simulation is consistent with the experimental variation of hardness and streamlines. It shows that the reciprocating rolling has substantial help to the strength and hardness of the lifting worm. Then, the analysis of the teeth of the simulated and experimental parts show that the maximum difference of the gear parameters between the analogy and the experimental parts is 1.46%, and the accuracy of the numerical simulation is higher.

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