Evaluation of Sensor-less Identification Method for Stable Spindle Rotation against Chatter with Milling Simulation Analysis

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Although chatter stability analysis is necessary to enhance cutting accuracy and efficiency, a reliable prediction is difficult to achieve because of the analysis error of frequency response function. Therefore, the investigation proposes an experiment-based identification method for stable spindle rotations in milling by gradually changing the spindle rotation and capturing chatter frequency shift from servo information. In order to evaluate the identification accuracy, this paper presents theoretical approaches to analyze time-dependent variation in chatter and the expected identification error of proposed method by using a time-domain simulator and a frequency-domain model considering amplitude ratio between inner and outer modulations of the chip.

Original languageEnglish
Pages (from-to)169-172
Number of pages4
JournalUnknown Journal
Volume46
DOIs
Publication statusPublished - 2016

Fingerprint

Chatter
Simulation Analysis
Sensor
simulation
Sensors
Evaluation
evaluation
Error analysis
Frequency response
Frequency Response Function
Domain Model
Simulators
Modulation
Error Analysis
Frequency Domain
Time Domain
Stability Analysis
Simulator
Chip
efficiency

Keywords

  • Chatter
  • Monitoring
  • Observer

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Cite this

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abstract = "Although chatter stability analysis is necessary to enhance cutting accuracy and efficiency, a reliable prediction is difficult to achieve because of the analysis error of frequency response function. Therefore, the investigation proposes an experiment-based identification method for stable spindle rotations in milling by gradually changing the spindle rotation and capturing chatter frequency shift from servo information. In order to evaluate the identification accuracy, this paper presents theoretical approaches to analyze time-dependent variation in chatter and the expected identification error of proposed method by using a time-domain simulator and a frequency-domain model considering amplitude ratio between inner and outer modulations of the chip.",
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author = "Ryo Koike and Yasuhiro Kakinuma and Tojiro Aoyama and Kouhei Ohnishi",
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language = "English",
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AU - Koike, Ryo

AU - Kakinuma, Yasuhiro

AU - Aoyama, Tojiro

AU - Ohnishi, Kouhei

PY - 2016

Y1 - 2016

N2 - Although chatter stability analysis is necessary to enhance cutting accuracy and efficiency, a reliable prediction is difficult to achieve because of the analysis error of frequency response function. Therefore, the investigation proposes an experiment-based identification method for stable spindle rotations in milling by gradually changing the spindle rotation and capturing chatter frequency shift from servo information. In order to evaluate the identification accuracy, this paper presents theoretical approaches to analyze time-dependent variation in chatter and the expected identification error of proposed method by using a time-domain simulator and a frequency-domain model considering amplitude ratio between inner and outer modulations of the chip.

AB - Although chatter stability analysis is necessary to enhance cutting accuracy and efficiency, a reliable prediction is difficult to achieve because of the analysis error of frequency response function. Therefore, the investigation proposes an experiment-based identification method for stable spindle rotations in milling by gradually changing the spindle rotation and capturing chatter frequency shift from servo information. In order to evaluate the identification accuracy, this paper presents theoretical approaches to analyze time-dependent variation in chatter and the expected identification error of proposed method by using a time-domain simulator and a frequency-domain model considering amplitude ratio between inner and outer modulations of the chip.

KW - Chatter

KW - Monitoring

KW - Observer

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