Abstract
This paper proposes a sensorless approach for realtime tool fracture detection in milling by means of servo information. Cutting force and torque can be estimated in a wide-frequency range by applying disturbance observer to the ballscrew-driven stages and the spindle controllers. By integrating the estimated information in each axis, a fracture-induced variation in cutting force and torque can be accurately captured with parallel sliding Fourier transform which is an analytical approach of low computation load in time-frequency domain. Validation of the proposed method is presented through milling tests of various milling conditions with several fractured endmills.
| Original language | English |
|---|---|
| Journal | CIRP Annals - Manufacturing Technology |
| DOIs | |
| Publication status | Accepted/In press - 2016 |
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Keywords
- End milling
- Monitoring
- Observer
ASJC Scopus subject areas
- Mechanical Engineering
- Industrial and Manufacturing Engineering
Cite this
A sensorless approach for tool fracture detection in milling by integrating multi-axial servo information. / Koike, Ryo; Ohnishi, Kouhei; Aoyama, Tojiro.
In: CIRP Annals - Manufacturing Technology, 2016.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A sensorless approach for tool fracture detection in milling by integrating multi-axial servo information
AU - Koike, Ryo
AU - Ohnishi, Kouhei
AU - Aoyama, Tojiro
PY - 2016
Y1 - 2016
N2 - This paper proposes a sensorless approach for realtime tool fracture detection in milling by means of servo information. Cutting force and torque can be estimated in a wide-frequency range by applying disturbance observer to the ballscrew-driven stages and the spindle controllers. By integrating the estimated information in each axis, a fracture-induced variation in cutting force and torque can be accurately captured with parallel sliding Fourier transform which is an analytical approach of low computation load in time-frequency domain. Validation of the proposed method is presented through milling tests of various milling conditions with several fractured endmills.
AB - This paper proposes a sensorless approach for realtime tool fracture detection in milling by means of servo information. Cutting force and torque can be estimated in a wide-frequency range by applying disturbance observer to the ballscrew-driven stages and the spindle controllers. By integrating the estimated information in each axis, a fracture-induced variation in cutting force and torque can be accurately captured with parallel sliding Fourier transform which is an analytical approach of low computation load in time-frequency domain. Validation of the proposed method is presented through milling tests of various milling conditions with several fractured endmills.
KW - End milling
KW - Monitoring
KW - Observer
UR - http://www.scopus.com/inward/record.url?scp=84973545790&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84973545790&partnerID=8YFLogxK
U2 - 10.1016/j.cirp.2016.04.101
DO - 10.1016/j.cirp.2016.04.101
M3 - Article
AN - SCOPUS:84973545790
JO - CIRP Annals - Manufacturing Technology
JF - CIRP Annals - Manufacturing Technology
SN - 0007-8506
ER -