Experimental Identification of Dynamic Parameters of Rolling Element Bearings in Machine Tools

Shamine, D. M.; Hong, Seong-Wook; Shin, Yung C.

doi:10.1115/1.482432

Cited by 6 publications

(7 citation statements)

References 19 publications

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“…This section uses a theoretical model of the singledegree-of-freedom system with a base excitation to describe the dynamic response of the twin-rotor system, and equations for the estimation coefficients of equivalent radial Young's modulus and damping ratio of the package are developed. The expression of the magnification factor can be calculated from equation (9). For the equivalent spring-mass-damping system, the maximum of the transmissibility occurs at the frequency ratio.…”

Section: Identification By Simulationmentioning

confidence: 99%

“…8 Shamine et al presented a method of in-situ experimental identification parameters, and obtained the bearing dynamic joint stiffness and damping by using frequency response functions. 9 Ouyang et al simplified the geometry of the gear-roller-bearing, and designed the experimental device and fabricated the experimental study, and validated the mathematic model of the gear-roller-bearing system in evaluating dynamic response by comparison with experimental results. 10 These methods mentioned can obtain the dynamic contact stiffness coefficient between contact bodies by theoretical and experimental methods, but little is known about the dynamic contact damping coefficient.…”

mentioning

confidence: 99%

“…To date, some works in the literature have intensively studied the contact problems in the fabric 9 and paper industries. 16 However, there is very limited research on the DCPs between the contact roller and the package.…”

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confidence: 99%

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Identification of dynamic contact parameters between contact roller and filament package

et al. 2021

Textile Research Journal

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During the high-speed winding of polyester filament, a contact roller must be applied to press on the filament package’s surface to ensure the filament is placed stably and precisely on the package surface. Thus, a twin-rotor system with contact coupling characteristics between the contact roller and the filament package is formed. Identifying the contact parameters between the contact roller and the package are prerequisite to precisely analyze the dynamic behavior of the winding system, as well as to determine the technical parameters. In this paper, an approach was proposed to identify the equivalent contact stiffness and contact damping coefficients by means of coordination through experiment and simulation. First, based on the forced non-resonance method of a single-degree-of-freedom system, the testing scheme was drawn up in consideration of the winding process parameters. Then, an experimental device for the twin-rotor system was developed, and the dynamic contact parameters just in the working frequency band corresponding to low linear speed of winding were obtained by the experiment, due to the requirement of the forced non-resonance theory and economic limitations of the experimental device. Third, the basic parameters including equivalent radial Young’s modulus and damping ratio of the package were obtained through experimental test. Furthermore, the contact parameters in the working frequency band corresponding to high linear speed of winding were obtained through simulation. Finally, the curve fitting of contact parameters was finished; in addition, the comparative results between the simulation and the experiment are in good agreement. The dynamic contact parameters present nonlinear frequency variation characteristics.

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Section: Identification By Simulationmentioning

confidence: 99%

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confidence: 99%

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Identification of dynamic contact parameters between contact roller and filament package

et al. 2021

Textile Research Journal

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“…It has a significant impact on the dynamic performance of the whole mechanical system. Studies have shown that the dynamic model error of the joint is the main factor in the dynamic model error of the entire mechanical system [1][2][3][4][5]. To obtain an accurate and reliable dynamic model of the mechanical system and improve the prediction accuracy of the dynamic response of the system model, accurate parameter identification and modeling of the joint have become a key issue and research hotspot in the area of vibration control and the performance evaluation of mechanical structures.…”

Section: Introductionmentioning

confidence: 99%

Research on Stiffness Identification Method for Complex Joints Based on Modal Correlation Analysis

Lie

et al. 2022

Machines

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The dynamic performance of mechanical systems is seriously affected by the stiffness of mechanical joints. The tool holder system of the deep hole machine tool was taken as the object; based on the modal correlation of experiment and finite element simulation, a simple and practical method was proposed to obtain the joint stiffness of the tool holder system under the structure form of the tool overhang of 200 mm. For the same tool holder system, the simulation and experimental analysis were carried out with different structural forms of tool overhang of 300 mm and 400 mm, which further verified the correctness and feasibility of the method for obtaining the joint stiffness, as well as provided a new idea and certain theoretical basis for extracting the joint stiffness of the tool holder system in deep hole machining.

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“…By analyzing machining error of combining surface, clearing the carrier of processing error affecting the positioning accuracy of the machine tool being joint surface of deputy campaign [4], maximum error and error distribution can be obtained as a milling process control target [5]. The example shows that the process not only guarantees the consistency of error value and its distribution of deputy campaign joint surface [6], at the same time also improves positioning accuracy of the joint surface [7].…”

Section: Introductionmentioning

confidence: 99%

Machining Error and Milling Process Control Methods for Joint Surface of Machine Tool

Jiang

Zhang

Yang

et al. 2014

MSF

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The existing processes of controlling machining error just controlled the maximum error. However, it did not effectively control the distribution of the error.The reliability of the assembly precision of the key joint surface did not meet the requirements, thereby affecting the service performance of machine tool. To solve this problem, the error matrix and transformation matrix was used to ascertain the location of joint surface positioning error occurred. The influence of processing error on the the positioning accuracy of machine tool was analyzed. The control objective of milling process was proposed. At the same time, the effects of cutting parameters on the processing error were also studied according to the milling experiments. The process error and its distribution characteristics of joint surface were obtained by analyzing the relationship between deformation of joint surface and cutting parameters. The milling process control methods were proposed.

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Experimental Identification of Dynamic Parameters of Rolling Element Bearings in Machine Tools

Cited by 6 publications

References 19 publications

Identification of dynamic contact parameters between contact roller and filament package

Identification of dynamic contact parameters between contact roller and filament package

Research on Stiffness Identification Method for Complex Joints Based on Modal Correlation Analysis

Machining Error and Milling Process Control Methods for Joint Surface of Machine Tool

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