Soft Compensation for CNC Crankshaft Grinding Machine Tool

Author:

Liu Yongjun1,Fan Jinwei1,Miao Wei1

Affiliation:

1. College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China

Abstract

Wear and deformation CNC grinding machine tool, will be aggravated over time ofwhich will influence the manufacturing precision. To reduce the effect, the soft compensation method by modifying NC instruction was put forward to maintain the manufacturing precision of CNC crankshaft grinding machine tool. The error sources were analyzed, the errors caused by grinding force were calculated, and the precise grinding kinematics model was deduced by the multibody kinematics. Numerical simulation and manufacturing experiment were carried out and the rank tests were taken for the manufactured crankshafts. Experiments show that the manufacturer precision of the crank can be enhanced by 63.69%, 52.06%, 42.27%, and 30.96% by soft compensation of 10 years of service life and 10 μm grinding depth, 4 years of service life and 10 μm grinding depth, 10 years ofservice life and 6 μm grinding depth, and 4 years of service life and 6 μm grinding depth, respectively. Soft compensation can be applied to the machine tool in which the manufacturer precision has declined and the NC instruction with compensation should be updated periodically.

Funder

National Natural Science Foundation of China

Publisher

SAGE Publications

Subject

Mechanical Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Dynamic Model of Unbalanced Grinding Wheel;Lecture Notes in Mechanical Engineering;2022

2. Development of an oscillating grinding machine tool based on error analysis;Science China Technological Sciences;2020-04-16

3. An Analysis Method of Oscillating Grinding Motion Model for Crankshaft Pin Journal;IEEE Access;2019

4. Tool path modeling and error sensitivity analysis of crankshaft pin CNC grinding;The International Journal of Advanced Manufacturing Technology;2016-01-28

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