Evaluation of dynamic stiffness of machine tool spindle by non-contact excitation tests

Matsubara, Atsushi; Tsujimoto, Shota; Kono, Daisuke

doi:10.1016/j.cirp.2015.04.101

Cited by 58 publications

(18 citation statements)

References 20 publications

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“…Different techniques which considered the consequences of multiple-mode features at high excitation frequencies a n d w i d e r a n g e s o f s p i n d l e s p e e d a n d t h e i r *Corresponding author e-mail: jakeershaik786@yahoo.co.in interaction effects were designed (Tanga and Song 2009;Gagnola et al, 2007;Lin and Tu, 2007;Jiang and Zheng, 2010;Hung et al, 2013). The dynamic stiffness of the high speed rotating spindles is obtained by non-contact experimentally measuring methods (Matsubara et al, 2015). In all above works the model analysis were conducted on the spindle unit in no-run condition.…”

Section: Introductionmentioning

confidence: 99%

Designing of milling tool spindle

Shaik

Ramakotaiah²

2018

Bangladesh J. Sci. Ind. Res.

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Analysis of chatter stability in an end milling process is quite cumbersome because of the inaccurate knowledge in the spindle’s geometrical design, position of the bearings and several issues related to the spindle structure. The effective position of bearings of the spindle plays a key role in investigating the self-excited chatter vibrations, which requires an accurate transfer function at the most flexibility region of the spindle tool structure. The present work focuses on the development of a novel method of measuring the spindle vibration responses experimentally using sine sweep tests for a CNC end milling machine tool. Using these model data, an analytical model of the spindle is estimated by considering the bearing span as a design variable. Trial runs are conducted until the convergence between the identified transfer function from the model and that from experiment is achieved. The final model of the spindle system is then applied with time-varying cutting forces so as to obtain the process stability.Bangladesh J. Sci. Ind. Res.53(3), 191-198, 2018

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Section: Introductionmentioning

confidence: 99%

Designing of milling tool spindle

Shaik

Ramakotaiah²

2018

Bangladesh J. Sci. Ind. Res.

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“…There are different excitation methods used for parameter identifications [12,14,15]. The noncontact exciters have flexibility in force applications, such as sinusoidal, unidirectional, and pseudorandom excitation force [16][17][18][19][20]. Arumugam et al [21] identified the stiffness and damping coefficients of tilting pad and cylindrical journal bearings using a noncontact electromagnetic exciter.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Coefficients Identification of Water-Lubricated Hybrid Bearings Used in High-Speed Spindles with Different Excitation Methods

Wang

Xiong

2017

Shock and Vibration

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Rotor stability and rotation accuracy, which are highly dependent on the dynamic coefficients of supporting hybrid bearings, are two important issues of high-speed water-lubricated spindles. To improve the spindles' performance, the dynamic coefficients of high-speed water-lubricated hybrid bearings were experimentally identified by the noncontact harmonic excitation method and the additional unbalance excitation method, respectively. Comparisons between experimental results and theoretical predictions were made. The experimental technique and the identification model were validated to be effective. Besides, the influence of supply pressure and rotating speed on dynamic coefficients was also presented. As for different operating conditions, valuable guides were provided to investigate the dynamic performance of high-speed and ultra-high-speed spindles.

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“…In addition, Cheng et al [18] creatively combined this method and RCSA to predict rotating tool point frequency response. Matsubara et al [19] presented a noncontact excitation method for evaluating the dynamic stiffness of a rotating spindle and investigated the dynamic uncertainty and its effect on cutting stability. The noncontact methods can directly excite the structure and measure the response, but require expensive equipment with high precision and complicated experimental setups.…”

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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Evaluation of dynamic stiffness of machine tool spindle by non-contact excitation tests

Cited by 58 publications

References 20 publications

Designing of milling tool spindle

Designing of milling tool spindle

Dynamic Coefficients Identification of Water-Lubricated Hybrid Bearings Used in High-Speed Spindles with Different Excitation Methods

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

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