Sensor-less chatter vibration monitoring by mechanical power factor

Takayuki Hirano; Yuki Yamada; Yasuhiro Kakinuma

Sensor-less chatter vibration monitoring by mechanical power factor

Takayuki Hirano, Yuki Yamada, Yasuhiro Kakinuma

Department of System Design Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Avoidance of chatter vibration is the key technique for the automatic machining. Model-based chatter prediction methods and sensor-based on-line detection methods have been studied actively. In this study, the sensor-less chatter detection technique by power factor was proposed, which only used servo information. Though the power factor is originally introduced for representing electrical efficiency, we applied it to machining operation in mechanical system. Since mechanical power factor was calculated with both velocity and dynamic machining force estimated by disturbance observer, sensor-less chatter detection was theoretically feasible. Several turning tests were conducted to evaluate the performance of the proposed method.

Original language	English
Title of host publication	Proceedings of the 8th International Conference on Leading Edge Manufacturing in 21st Century, LEM 2015
Publisher	Japan Society of Mechanical Engineers
Publication status	Published - 2015 Oct 18
Event	8th International Conference on Leading Edge Manufacturing in 21st Century, LEM 2015 - Kyoto, Japan Duration: 2015 Oct 18 → 2015 Oct 22

Other

Other	8th International Conference on Leading Edge Manufacturing in 21st Century, LEM 2015
Country	Japan
City	Kyoto
Period	15/10/18 → 15/10/22

Keywords

Chatter vibration
Disturbance observer
Power factor
Turning

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

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Cite this

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title = "Sensor-less chatter vibration monitoring by mechanical power factor",

abstract = "Avoidance of chatter vibration is the key technique for the automatic machining. Model-based chatter prediction methods and sensor-based on-line detection methods have been studied actively. In this study, the sensor-less chatter detection technique by power factor was proposed, which only used servo information. Though the power factor is originally introduced for representing electrical efficiency, we applied it to machining operation in mechanical system. Since mechanical power factor was calculated with both velocity and dynamic machining force estimated by disturbance observer, sensor-less chatter detection was theoretically feasible. Several turning tests were conducted to evaluate the performance of the proposed method.",

keywords = "Chatter vibration, Disturbance observer, Power factor, Turning",

author = "Takayuki Hirano and Yuki Yamada and Yasuhiro Kakinuma",

year = "2015",

month = oct,

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language = "English",

booktitle = "Proceedings of the 8th International Conference on Leading Edge Manufacturing in 21st Century, LEM 2015",

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note = "8th International Conference on Leading Edge Manufacturing in 21st Century, LEM 2015 ; Conference date: 18-10-2015 Through 22-10-2015",

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TY - GEN

T1 - Sensor-less chatter vibration monitoring by mechanical power factor

AU - Hirano, Takayuki

AU - Yamada, Yuki

AU - Kakinuma, Yasuhiro

PY - 2015/10/18

Y1 - 2015/10/18

N2 - Avoidance of chatter vibration is the key technique for the automatic machining. Model-based chatter prediction methods and sensor-based on-line detection methods have been studied actively. In this study, the sensor-less chatter detection technique by power factor was proposed, which only used servo information. Though the power factor is originally introduced for representing electrical efficiency, we applied it to machining operation in mechanical system. Since mechanical power factor was calculated with both velocity and dynamic machining force estimated by disturbance observer, sensor-less chatter detection was theoretically feasible. Several turning tests were conducted to evaluate the performance of the proposed method.

AB - Avoidance of chatter vibration is the key technique for the automatic machining. Model-based chatter prediction methods and sensor-based on-line detection methods have been studied actively. In this study, the sensor-less chatter detection technique by power factor was proposed, which only used servo information. Though the power factor is originally introduced for representing electrical efficiency, we applied it to machining operation in mechanical system. Since mechanical power factor was calculated with both velocity and dynamic machining force estimated by disturbance observer, sensor-less chatter detection was theoretically feasible. Several turning tests were conducted to evaluate the performance of the proposed method.

KW - Chatter vibration

KW - Disturbance observer

KW - Power factor

KW - Turning

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M3 - Conference contribution

AN - SCOPUS:84974593987

BT - Proceedings of the 8th International Conference on Leading Edge Manufacturing in 21st Century, LEM 2015

PB - Japan Society of Mechanical Engineers

T2 - 8th International Conference on Leading Edge Manufacturing in 21st Century, LEM 2015

Y2 - 18 October 2015 through 22 October 2015

ER -