Author:
Li Chun,Zou Zhexiang,Lu Kaibo,Wang Hongjun,Cattley Robert,Ball Andrew D.
Abstract
AbstractOnline monitoring of cutting conditions is essential in intelligent manufacturing, and vibrations are one of the most effective signals in monitoring machining conditions. Generally, traditional wired accelerometers should be installed on a motionless or stable platform, such as a tool holder or lathe bed, to sense vibrations. Such installation methods would cause the signals to suffer more serious noise interferences and a low signal-to-noise ratio, resulting in less sensitivity to valuable information. Therefore, this study developed a novel three-axis wireless on-rotor sensing (ORS) system for monitoring the turning process. The Micro Electromechanical System (MEMS) accelerometer sensor node can be mounted on a rotating workpiece or spindle rotor and is more sensitive in detecting the vibrations of the entire rotor system without any modification of the lathe system and interference in the cutting procedure. The processor, data acquisition, and Bluetooth Low Energy (BLE) 5.0+ modules were developed and debugged to cooperate with a piezoelectric triaxial accelerometer, with a vibration amplitude not larger than ± 16 g. A series of turning tests were conducted and the results were compared with those from the commercial wired accelerometers, which proved that the ORS system can measure the vibration signal of the rotor system more effectively and sensitively than wired accelerometers, thus demonstrating the accurate monitoring of machining parameters.
Funder
Science and Technology Planning Project of Guangdong Province
National Natural Science Foundation of China
Beijing Municipal Science and Technology Commission
Publisher
Springer Science and Business Media LLC
Reference26 articles.
1. Ferrell, E. R. Analsys of Tool Wear and Tool Life of Cutting Tool Inserts Using Statistical Process Control Charts: A Case Study (Morehead State University, 2017).
2. Hopkins, C. & Hosseini, A. A review of developments in the fields of the design of smart cutting tools, wear monitoring, and sensor innovation. IFAC-PapersOnLine 52, 352–357 (2019).
3. de Oliveira, A. J., Silva, D. M. L., da Silva, J. I. D. & de Castro Silveira, Z. Design and experimental set-up of a hybrid dynamometer applied to a fourth axis of the vertical machining center. Int. J. Adv. Manuf. Technol. 110, 2155–2168 (2020).
4. Li, C. et al. Tool condition monitoring based on vibration signal from an on-rotor sensor in CNC turning process. in 17th International Conference on Condition Monitoring and Asset Management, CM 2021 2A6 (2021).
5. Tantussi, G., Technology, M. & Beghini, M. A sensor-integrated tool for cutting force monitoring. 46, 49–52 (1997).
Cited by
5 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