Machining process monitoring and application: a review

Wuyang SUN; Dinghua ZHANG; Ming LUO

doi:10.51393/j.jamst.2021001

Machining process monitoring and application: a review

doi: 10.51393/j.jamst.2021001

a Key Laboratory of High Performance Manufacturing for Aero Engine, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi'an 710072, China;
b Engineering Research Center of Advanced Manufacturing Technology for Aero Engine, Ministry of Education, Northwestern Polytechnical University, Xi'an 710072, China

基金项目:

This study was supported by the National Natural Science Foundation of China (No. 52022082).

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- 被引次数: 0
出版历程
- 收稿日期: 2021-01-02
- 修回日期: 2021-01-15
- 网络出版日期: 2021-02-22
- 刊出日期: 2021-04-10

Machining process monitoring and application: a review

a Key Laboratory of High Performance Manufacturing for Aero Engine, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi'an 710072, China;
b Engineering Research Center of Advanced Manufacturing Technology for Aero Engine, Ministry of Education, Northwestern Polytechnical University, Xi'an 710072, China

Funds:

This study was supported by the National Natural Science Foundation of China (No. 52022082).

摘要

摘要:
Machining data have been increasingly crucial with the development of modern manufacturing strategies, and the explosive growth of data amount revolutionizes how to collect and analyze data. In machining process, anomalies such as machining chatter and tool wear occur frequently, which strongly affect the process by reducing accuracy and quality as well as increasing the time and cost. As a typical type of machining data, signals acquired in real time by advanced sensor techniques are widely embraced to detect those anomalies. This paper reviews the recent development and applications of process monitoring technologies in machining processes, and typical application scenarios in machining processes are discussed with the latest literatures and current research issues. Potential future trends of process data monitoring and analysis for intelligent machining are put forward at the end of the paper.
- Machining /
- monitoring /
- machining data /
- prediction
Abstract:
Machining data have been increasingly crucial with the development of modern manufacturing strategies, and the explosive growth of data amount revolutionizes how to collect and analyze data. In machining process, anomalies such as machining chatter and tool wear occur frequently, which strongly affect the process by reducing accuracy and quality as well as increasing the time and cost. As a typical type of machining data, signals acquired in real time by advanced sensor techniques are widely embraced to detect those anomalies. This paper reviews the recent development and applications of process monitoring technologies in machining processes, and typical application scenarios in machining processes are discussed with the latest literatures and current research issues. Potential future trends of process data monitoring and analysis for intelligent machining are put forward at the end of the paper.
- Machining /
- monitoring /
- machining data /
- prediction

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参考文献(62)

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