A multi-sensor based online tool condition monitoring system for milling process

Xiaoyang Zhang; Xin Lu; Sheng  Wang; Wei Wang; Weidong Li

doi:10.1016/j.procir.2018.03.092

A multi-sensor based online tool condition monitoring system for milling process

Xiaoyang Zhang, Xin Lu, Sheng Wang, Wei Wang, Weidong Li

Research output: Contribution to conference › Paper › peer-review

72 Citations (Scopus)

Abstract

Tool condition monitoring has been considered as one of the key enabling technologies for manufacturing optimization. Due to the high cost and limited system openness, the relevant developed systems have not been widely adopted by industries, especially Small and Medium-sized Enterprises. In this research, a cost-effective, wireless communication enabled, multi-sensor based tool condition monitoring system has been developed. Various sensor data, such as vibration, cutting force and power data, as well as actual machining parameters, have been collected to support efficient tool condition monitoring and life estimation. The effectiveness of the developed system has been validated via machining cases. The system can be extended to wide manufacturing applications.

Original language	English
Pages	1136-1141
DOIs	https://doi.org/10.1016/j.procir.2018.03.092
Publication status	Published - 27 Jun 2018
Externally published	Yes
Event	51st CIRP Conference on Manufacturing Systems - Stockholm, Sweden Duration: 16 May 2018 → 18 May 2018

Academic conference

Academic conference	51st CIRP Conference on Manufacturing Systems
Country/Territory	Sweden
City	Stockholm
Period	16/05/18 → 18/05/18

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10.1016/j.procir.2018.03.092Licence: CC BY-NC-ND

Cite this

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title = "A multi-sensor based online tool condition monitoring system for milling process",

abstract = "Tool condition monitoring has been considered as one of the key enabling technologies for manufacturing optimization. Due to the high cost and limited system openness, the relevant developed systems have not been widely adopted by industries, especially Small and Medium-sized Enterprises. In this research, a cost-effective, wireless communication enabled, multi-sensor based tool condition monitoring system has been developed. Various sensor data, such as vibration, cutting force and power data, as well as actual machining parameters, have been collected to support efficient tool condition monitoring and life estimation. The effectiveness of the developed system has been validated via machining cases. The system can be extended to wide manufacturing applications.",

author = "Xiaoyang Zhang and Xin Lu and Sheng Wang and Wei Wang and Weidong Li",

year = "2018",

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doi = "10.1016/j.procir.2018.03.092",

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AU - Zhang, Xiaoyang

AU - Lu, Xin

AU - Wang, Sheng

AU - Wang, Wei

AU - Li, Weidong

PY - 2018/6/27

Y1 - 2018/6/27

N2 - Tool condition monitoring has been considered as one of the key enabling technologies for manufacturing optimization. Due to the high cost and limited system openness, the relevant developed systems have not been widely adopted by industries, especially Small and Medium-sized Enterprises. In this research, a cost-effective, wireless communication enabled, multi-sensor based tool condition monitoring system has been developed. Various sensor data, such as vibration, cutting force and power data, as well as actual machining parameters, have been collected to support efficient tool condition monitoring and life estimation. The effectiveness of the developed system has been validated via machining cases. The system can be extended to wide manufacturing applications.

AB - Tool condition monitoring has been considered as one of the key enabling technologies for manufacturing optimization. Due to the high cost and limited system openness, the relevant developed systems have not been widely adopted by industries, especially Small and Medium-sized Enterprises. In this research, a cost-effective, wireless communication enabled, multi-sensor based tool condition monitoring system has been developed. Various sensor data, such as vibration, cutting force and power data, as well as actual machining parameters, have been collected to support efficient tool condition monitoring and life estimation. The effectiveness of the developed system has been validated via machining cases. The system can be extended to wide manufacturing applications.

U2 - 10.1016/j.procir.2018.03.092

DO - 10.1016/j.procir.2018.03.092

M3 - Paper

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T2 - 51st CIRP Conference on Manufacturing Systems

Y2 - 16 May 2018 through 18 May 2018

ER -

A multi-sensor based online tool condition monitoring system for milling process

Abstract

Academic conference

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