Prediction and optimisation for surface roughness distribution in external spline shaping based on micro-element method

Author:

Ma Xiaofan1,Yao Bin1,Liu Wanshan1ORCID,Cai Zhiqin12,Li Zhengminqing3,Li Zhisheng4

Affiliation:

1. School of Aerospace Engineering, Xiamen University, Xiamen, PR China

2. Shenzhen Research Institute of Xiamen University, Shenzhen, PR China

3. National Key Laboratory of Science and Technology on Helicopter Transmission, Nanjing, PR China

4. Zhengzhou Research Institute of Mechanical Engineering Co., Ltd., Zhengzhou, PR China

Abstract

Previous surface topography prediction models for external spline shaping do not consider the relationship between the tool and workpiece geometry and cutter edge wear. In this work, by considering the tool–workpiece geometry correlation, a model for the tooth surface topography of the external spline is established based on the micro-element method. Combined with adhere model, a gear shaper wear model is founded on the wear mechanism of cutter edge micro-element derived from the abrasive wear mechanism. The distribution characteristics of tooth topography are analysed through an external spline shaping experiment, which verifies the validity of the presented model. For the uneven distribution of tooth surface topography, a shaping process optimisation algorithm is proposed based on the advance-and-retreat method, which can obtain tooth surfaces with uniform surface topography distribution and reduce tool wear. This work can guide the optimisation of the external spline shaping process, improve the integrity of the tooth surface and prolong the serviceable life of gear shaper.

Funder

Aero Engine Corporation of China's 2019 Industry-University-Research Cooperation Project

National Natural Science Foundation of Guangdong Province

National Key Laboratory of Science and Technology on Helicopter Transmission

Publisher

SAGE Publications

Subject

Mechanical Engineering

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