Research on High Precision Rapid Online Measurement System of Crankshaft Based on Multi-station

Journal of Physics: Conference Series - Tập 2101 Số 1 - Trang 012016 - 2021
GU Ting-ting1,2, Xiaoming Qian1, Peihuang Lou1
1College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, 29 Yudao Street, Qinhuai District, Nanjing City, Jiangsu Province, China.
2Jincheng College, Nanjing University of Aeronautics and Astronautics, 88 Hangjin Avenue, Jiangning District, Nanjing City, Jiangsu Province, China.

Tóm tắt

Abstract According to the structural characteristics and production requirements of the crankshaft, the online measurement platform of crankshaft was built. The multi-station assembly line is developed to measure, to mark and to classify the parameters and measurement elements of the crankshaft. In addition, SPC software is designed to perform mathematical statistics and analysis on the measurement information. It can distinguish between normal fluctuations and abnormal fluctuations in the production process, can inform the fluctuation state to determine whether it should be adjusted, can compare the fluctuations and provide direction for improvement. Finally, through multiple measurement experiments, the feasibility and effectiveness of the synchronous measurement scheme and data processing method proposed in this paper are verified. The experimental results show that GR&R is less than 9.3%, and measurement accuracy is less than or equal to 1μm.

Từ khóa


Tài liệu tham khảo

Liu, 2015, Based on the uncertainty measure of remanufactured crankshaft’s balance control, Journal of Mechanical Engineering, 5, 171, 10.3901/JME.2015.05.171

Yu, 2016

Fang, 2015, Development and application of precision coordinate measuring technology, Aeronautical Manufacturing Technology, 7, 38

Liu, 2017, Research on method of three coordinate measuring batch parts, Metrology & Measurement Technology, 6, 52

Guo, 2017

Liu, 2016, Situation analysis and development strategy of China’s automotive parts industry, Science and Technology Management Research, 20, 104

Wang, 2020, Applied Research of Industrial robots in automotive intelligent manufacturing production line, Journal of Physics Conference Series, 4, 042061, 10.1088/1742-6596/1550/4/042061

Zhai, 2019, Optimization and research on quality management of auto parts supply chain, Internal Combustion Engine & Parts, 16, 224

Zhang, 2019, Construction of intelligent automobile manufacturing system based on industrial big data collaboration, Shanghai Auto, 11, 7

Qian, 2020, Research on synchronous measurement and error analysis of crankshaft journal’s high-precision measurement, Chinese Journal of Scientific Instrument, 41, 113

Thông tin
Thông tin xuất bản

Journal of Physics: Conference Series

Tập 2101 Số 1

012016

Thông tin tác giả