Investigating Dynamics of Machine Tool Spindles under Operational Conditions

Özşahin, Orkun; Budak, Erhan; Özgüven, H. Nevzat

doi:10.4028/www.scientific.net/amr.223.610

Cited by 29 publications

(11 citation statements)

References 23 publications

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“…Due to the limitations in modeling approaches, there are several experimental studies that focus on identifying the aforementioned variations leading to uncertainties in machine tool dynamics under operational conditions [26][27][28][29][30][31][32]. A similarity of these experimental studies is that they require complicated experimental setups and the solution of signal processing problems.…”

Section: Introductionmentioning

confidence: 99%

Use of inverse stability solutions for identification of uncertainties in the dynamics of machining processes

Tunç

Özşahin

2018

Adv. Manuf.

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Research on dynamics and stability of machining operations has attracted considerable attention. Currently, most studies focus on the forward solution of dynamics and stability in which material properties and the frequency response function at the tool tip are known to predict stable cutting conditions. However, the forward solution may fail to perform accurately in cases wherein the aforementioned information is partially known or varies based on the process conditions, or could involve several uncertainties in the dynamics. Under these circumstances, inverse stability solutions are immensely useful to identify the amount of variation in the effective damping or stiffness acting on the machining system. In this paper, the inverse stability solutions and their use for such purposes are discussed through relevant examples and case studies. Specific areas include identification of process damping at low cutting speeds and variations in spindle dynamics at high rotational speeds. Keywords Inverse stability Á Machining dynamics Á High speed milling Á Process damping Á Spindle dynamics Adv. Manuf.

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Section: Introductionmentioning

confidence: 99%

Use of inverse stability solutions for identification of uncertainties in the dynamics of machining processes

Tunç

Özşahin

2018

Adv. Manuf.

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“…Tounsi and Otho [6] obtained a pulselike cutting force on tool point by interrupted cutting of a narrow workpiece width and single tooth milling operations. € Ozsahin et al [7] used the workpiece with random surface profile to produce random cutting forces. And the tool point-holder cross FRF is identified using the vibration response at the tool holder with a laser vibrometer.…”

Section: Introductionmentioning

confidence: 99%

RCSA-Based Method for Tool Frequency Response Function Identification Under Operational Conditions Without Using Noncontact Sensor

Yan

Tang

Peng

et al. 2017

Journal of Manufacturing Science and Engineering

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The stability lobe diagrams predicted using the tool frequency response function (FRF) at the idle state usually have discrepancies compared with the actual stability cutting boundary. These discrepancies can be attributed to the effect of spindle rotating on the tool FRFs which are difficult to measure at the rotating state. This paper proposes a new tool FRF identification method without using noncontact sensor for the rotating state of the spindle. In this method, the FRFs with impact applied on smooth rotating tool and vibration response tested on spindle head are measured for two tools of different lengths clamped in spindle–holder assembly. Based on those FRFs, an inverse receptance coupling substructure analysis (RCSA) algorithm is developed to identify the FRFs of spindle–holder–partial tool assembly. A finite-element modeling (FEM) simulation is performed to verify the validity of inverse RCSA algorithm. The tool point FRFs at the spindle rotating state are obtained by coupling the FRFs of the spindle–holder–partial tool and the other partial tool. The effects of spindle rotational speed on tool point FRFs are investigated. The cutting experiment demonstrates that this method can accurately identify the tool point FRFs and predict cutting stability region under spindle rotating state.

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“…In order to determine these variations of bearing properties, Li and Shin [11] proposed a thermo mechanical model. In a recent study, Orkun et al [21] used spectral measurement techniques to identify the bearing properties during cutting. Their results showed that bearing properties change significantly during cutting.…”

Section: Bearing Parametersmentioning

confidence: 99%

“…In order to investigate the effects of bearing parameter changes during operation, the tool point FRF is calculated using the bearing properties the idle (5x10 7 N/m and 8x10 7 N/m for the front and rear bearings, respectively), and operating conditions. Assuming similar speed dependent behavior given in references [11,21], the bearing properties are updated for the rotating case as 4x10 7 N/m and 6x10 …”

Section: Effect Of Variations In the Bearing Propertiesmentioning

confidence: 99%

“…The variation of the bearing parameters during operation were identified using the milling force and vibration signals at different speeds [21]. In order to investigate the effects of bearing parameter changes during operation, the tool point FRF is calculated using the bearing properties the idle (5x10 7 N/m and 8x10 7 N/m for the front and rear bearings, respectively), and operating conditions.…”

Section: Effect Of Variations In the Bearing Propertiesmentioning

confidence: 99%

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Proceedings of the 37th International MATADOR Conference

Xi¹,

Hernandez²,

Arnez³

et al. 2013

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Investigating Dynamics of Machine Tool Spindles under Operational Conditions

Cited by 29 publications

References 23 publications

Use of inverse stability solutions for identification of uncertainties in the dynamics of machining processes

Use of inverse stability solutions for identification of uncertainties in the dynamics of machining processes

RCSA-Based Method for Tool Frequency Response Function Identification Under Operational Conditions Without Using Noncontact Sensor

Proceedings of the 37th International MATADOR Conference

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