A new approach to identifying the dynamic behavior of CNC machine tools with respect to different worktable feed speeds

Li, Bin; Luo, Baoming; Mao, Xinyong; Cai, Hui; Peng, Fangyu; Liu, Hongqi

doi:10.1016/j.ijmachtools.2013.06.004

Cited by 76 publications

(36 citation statements)

References 23 publications

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“…The basic theory of natural frequency change rate prediction in the case of structural change is based on the mass change method [9]. In this section, the basic theory of natural frequency change rate prediction in the case of mass change is proposed in 2.1.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

A method to predict position-dependent structural natural frequencies of machine tool

Luo

Pan

Cai

et al. 2015

International Journal of Machine Tools and Manufacture

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Section: Theoretical Backgroundmentioning

confidence: 99%

A method to predict position-dependent structural natural frequencies of machine tool

Luo

Pan

Cai

et al. 2015

International Journal of Machine Tools and Manufacture

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“…Using the responsebased modal analysis algorithm to analyze the vibration response signal, we can identify the modal parameters of the machine. Compared to the traditional method of EMA based on frequency response function (FRF), the method can identify the modal parameters only by using the vibration response signal of the structure in working state [9]. In order to make the excitation meet "white noise" requirement，the inertial force generated by worktable must be random.…”

Section: Worktable Empty Running Excitation Movement Designmentioning

confidence: 99%

An Approach of Exciting CNC Machine Tools Based on Worktable Empty Running Excitation

Mao¹,

He²,

Hong-qi³

et al. 2018

Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)

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Abstract. Dynamic characteristic of machine tool is an important factor which affects machining quality and machining efficiency. Traditional experimental modal analysis method requires the measured structure to be in a relatively static state. So the dynamic characteristics of machine tool structure cannot be measured in operating state. In this paper, an approach of exciting CNC machine tools based on worktable empty running excitation is proposed. The machine tool structure is excited by inertial force generated during the reciprocating motion of machine worktable. The motion of worktable is designed and the influencing factors of excitation are analyzed. The effect of feed speed and acceleration to excitation is analyzed through experiment. Compared to impact test in static state, the method is performed in running state. So it can reflect the dynamics of machine tools in operation accurately.

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“…Fig. 1 is the schematic diagram of the inertial force excitation technique in [7,8]: the slider accelerates or decelerates randomly and continuously in a small area. The inertial forces, as shown in Fig.1b, are proven to be squarewave pulses in [9].…”

Section: Background Of Aemamentioning

confidence: 99%

“…The resultant cutting force, like random pulses, excites the structure effectively within the frequency range of interest. Another technique [7,8] uses the inertia force caused by random running of the worktable to excite the structure. However, both techniques which run under special random conditions, are still different from normal machining performance.…”

Section: Introductionmentioning

confidence: 99%

A Method for Identification of Machine-tool Dynamics under Machining

et al. 2015

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Dynamic properties of machine-tool structures are likely to change under machining conditions. Thus, the dynamic parameters obtained by traditional experimental modal analysis in the static state may not characterize accurately the dynamics of the machine tool structure in operation. This paper proposes a new method of so-called AEMA (Active Excitation Modal Analysis) to identify the dynamic modal parameters of a machine tool structure during machining. A random cutting excitation technique realized by cutting a specially designed workpiece is proposed to provide strong and evenly distributed excitation within the frequency range of interest. The surface of the workpiece has a long narrow random zigzag width, which randomizes the resulting cutting forces. The LSCE (Least Square Complex Exponential) method is employed to estimate the modal parameters from just the measured responses. Then an algorithm based on two novel tools, the harmonic frequency fence and the spectrum abruptness ratio, is presented to eliminate the harmonic modes attributed to AC power and rotation frequency. The abruptness ratio is used to detect the basic frequency, and then the fence filters out the harmonic modes caused by peaks at integer multiples of the basic frequency through narrow frequency fence slots followed by a damping ratio limit. Finally, the proposed AEMA method is experimentally validated and shows satisfactory results.

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A new approach to identifying the dynamic behavior of CNC machine tools with respect to different worktable feed speeds

Cited by 76 publications

References 23 publications

A method to predict position-dependent structural natural frequencies of machine tool

A method to predict position-dependent structural natural frequencies of machine tool

An Approach of Exciting CNC Machine Tools Based on Worktable Empty Running Excitation

A Method for Identification of Machine-tool Dynamics under Machining

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