In-process monitoring and analysis of bearing outer race way grinding based on the power signal

Chi, Yulun; Li, Haolin; Chen, Xun

doi:10.1177/0954405416635032

Cited by 4 publications

(1 citation statement)

References 18 publications

(56 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ferraz and Coelho 1 presented a data acquisition system using sensors, including an acoustic pressure sensor and a voltage sensor, to monitor the state of tool wear. Chi et al 2 developed a monitoring system of the grinding process, and the electric spindle power was measured using a power sensor. Moreover, Lin et al 3 employed the accelerometers to collect vibration signals accompanying the machine tool operations.…”

Section: Introductionmentioning

confidence: 99%

Research on fault early warning and the diagnosis of machine tools based on energy fault tree analysis

Chen

Song

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

At present, the status of the monitoring of computerized numerical control machine tools is still in the initial stage, and there is no uniform standard for fault early warning and diagnosis of machine tools. A standardized and comprehensive machine tool condition monitoring method based on energy fault tree analysis is proposed. The power, current and temperature inside the numerical control system and the signal of the external vibration sensor are collectively referred to as energy. A new energy fault tree is used to identify the location of the fault. At the same time, the client of computerized numerical control system internal information collection and analysis is developed. The characteristic frequency of each key component is analysed by theoretical mechanics, and an overall monitoring method is proposed to improve the monitoring efficiency. Finally, the reliability of the monitoring method is verified by experiments. The surface roughness of the parts is reduced by approximately 50%, which lays the foundation for the application of the engineering.

show abstract

Section: Introductionmentioning

confidence: 99%

Research on fault early warning and the diagnosis of machine tools based on energy fault tree analysis

Chen

Song

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

show abstract

Research progress on the chatter stability in machining systems

Zhang,

Wan,

Ran

2024

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Single sensor three point on-line measurement method of precision rolling bearings

Hu,

Zha,

Song

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

With the continuous development of machining methods, it is necessary to explore grinding and measuring methods to ensure the fatigue life and improved accuracy of bearings. In this study, a single-sensor three-point (SSTP) on-line outer-diameter measuring instrument was designed to ensure the consistency of the machining accuracy of precision bearing rings. Moreover, the mathematical model of the measuring instrument was established. The roundness and cylindricity error measurements of the ring outer diameter of precision bearings A and B form different manufacturers of countries were compared and analyzed. In addition, the accuracy measurement of the experimental grinder was investigated through multidimensional experiments. The results demonstrated a measuring and repetitive accuracy of ±1.25 and 1 μm, respectively. The measuring results conformed to the 3 б principle. The measured outer diameter was within the actual value of the workpiece outer diameter ±3 б, and the accuracy was over 99.73%. The instrument did only measure the outer diameter, but also measured the waviness error. The outer diameter and rotating speed did not clearly affect the measuring accuracy. The use of a lubricating fluid reduced the contact resistance of the on-line measuring instrument and significantly reduced the absolute error of outer diameter measurement, which is beneficial in improving the outer diameter measurement accuracy of the instrument.

show abstract

In-process monitoring and analysis of bearing outer race way grinding based on the power signal

Cited by 4 publications

References 18 publications

Research on fault early warning and the diagnosis of machine tools based on energy fault tree analysis

Research on fault early warning and the diagnosis of machine tools based on energy fault tree analysis

Research progress on the chatter stability in machining systems

Single sensor three point on-line measurement method of precision rolling bearings

Contact Info

Product

Resources

About