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

University of Skövde

Research output: Contribution to journal › Conference article

72 Citations (Scopus)

289 Downloads (Pure)

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 (from-to)	1136-1141
Number of pages	6
Journal	Procedia CIRP
Volume	72
Early online date	27 Jun 2018
DOIs	https://doi.org/10.1016/j.procir.2018.03.092
Publication status	Published - 2018
Event	51 CIRP Conference on Manufacturing Systems - Stockholm, Sweden Duration: 16 May 2018 → 18 May 2018

Bibliographical note

Open access under a Creative Commons licence CC-BY-NC-ND

Keywords

Tool condition monitoring
Multiple sensors
Vibration

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

PublishedFinal published version, 1.33 MBLicence: CC BY-NC-ND

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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.",

keywords = "Tool condition monitoring, Multiple sensors, Vibration",

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

note = "Open access under a Creative Commons licence CC-BY-NC-ND; 51 CIRP Conference on Manufacturing Systems ; Conference date: 16-05-2018 Through 18-05-2018",

year = "2018",

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

language = "English",

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journal = "Procedia CIRP",

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T1 - A multi-sensor based online tool condition monitoring system for milling process

AU - Zhang, Xiaoyang

AU - Lu, Xin

AU - Wang, Sheng

AU - Wang, Wei

AU - Li, Weidong

N1 - Open access under a Creative Commons licence CC-BY-NC-ND

PY - 2018

Y1 - 2018

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.

KW - Tool condition monitoring

KW - Multiple sensors

KW - Vibration

U2 - 10.1016/j.procir.2018.03.092

DO - 10.1016/j.procir.2018.03.092

M3 - Conference article

SN - 2212-8271

VL - 72

SP - 1136

EP - 1141

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 51 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

Bibliographical note

Keywords

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