An improved thermo-mechanical model for spindle transient preload analysis

Li, Jiandong; Zhu, Yan; Yan, Ke; Hong, Jun; Yan, Xiaoyun

doi:10.1177/1350650119841761

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…The thermal contact transfer between balls and rings of a bearing was first investigated by Nakajima (1995). Next, Li et al (2019) developed the time-varying thermal contact resistance model of angular contact ball bearings by using the fractal theory and the heat transfer theory; Meng et al (2020) discussed the fractal dimension D and fractal-amplitude coefficient G effects on thermal contact conductance. Additionally, the asymmetric load, rough surface geometric reconstruction and contact deformation impacts on contact heat transfer were studied successively (Siddappa and Tariq, 2020; Dong et al (2022).…”

Section: Introductionmentioning

confidence: 99%

An efficient thermal model for high-speed angular contact ball bearings based on oil-air two-phase flow and gray-box model

Zheng,

Zheng

2023

ILT

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Purpose For a lightweight and accurate description of bearing temperature, this paper aims to present an efficient semi-empirical model with oil–air two-phase flow and gray-box model. Design/methodology/approach First, the role of lubricant/coolant in bearing temperature was discussed separately, and the gray-box models on the heat convection inside a bearing cavity were also created. Next, the bearing node setting scheme was optimized. Consequently, a novel semi-empirical two-phase flow thermal grid for high-speed angular contact ball bearings was planned. With this model, the thermal network for the selected motored spindle was built, and the numerical solutions for bearing temperature rise were obtained and contrasted with the experimental values for validation. The polynomial interpolation on test data, meanwhile, was also performed to help us observe the temperature change trend. Finally, the simulations based on the current models of bearings were implemented, whose corresponding results were also compared with our research work. Findings The validation result indicates that the thermal prediction is more accurate and efficient when the developed semi-empirical oil–air two-phase flow model is employed to assess the thermal change of bearings. Clearly, we provide a more proper model for the thermal assessment of bearing and even spindle heating. Originality/value To the best of the authors’ knowledge, this paper introduced the oil–air separation and gray-box model for the first time to describe the heat exchange inside bearing cavities and accordingly presents an efficient semi-empirical oil–air two-phase flow model to evaluate the bearing temperature variation by using thermal network method. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2023-0180/

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Section: Introductionmentioning

confidence: 99%

An efficient thermal model for high-speed angular contact ball bearings based on oil-air two-phase flow and gray-box model

Zheng,

Zheng

2023

ILT

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“…When the spindle is rotating, however, the state characteristics are very different from when it is halted. Based on the proposed thermo-mechanical model of the spindle system, Li [20] discovered that while the spindle is operating at high speed, the clearance of its components is much different from that at standstill, and this has a considerable impact on spindle preload and component temperature. Subsequently, Li [21] then evaluated the transient preload of a fixed-position preload spindle in real-time and discovered that at 8000 rpm, the preload rose from 483 N at standstill to 720 N, while the bearing temperature increased from 24 • C to 36.5 • C. Large variations in the machine spindle's characteristics during operation are sure to impair the spindle stiffness performance, which, in turn, affects the machine tool's quality and efficiency.…”

Section: Introductionmentioning

confidence: 99%

Research on the Effect of Spindle Speed on the Softening and Hardening Characteristics of the Axial Operating Stiffness of Machine Tool Spindle

Wang

Sun

et al. 2022

Lubricants

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Spindle stiffness is one of the most critical indicators for evaluating and measuring the service performance of spindles. The traditional static stiffness indexes only involve static analysis and rarely focus on the study of spindle-carrying capacity under operating conditions. In this paper, the explicit solution approach is used to develop a mechanical model of the spindle’s axial operating stiffness. This model was then used to explore the influence of rotational speed on the softening and hardening features of the spindle axial operating stiffness, and experimental verification was carried out. According to studies, the speed of a fixed-position preload spindle can lead its operating stiffness to exhibit a “stiffness-hardening” feature. However, when the axial displacement of the spindle is small, the operating stiffness curve of the spindle displays a noticeable “fluctuation” phenomenon for low-speed spindles. Furthermore, the speed-induced preload has a significant impact on the test results when testing spindle axial operating stiffness.

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“…Traditional measurement methods are very difficult to monitor the bearing statues directly. LI Jiandong et al [8,9] developed an improved thermo-mechanical model for studying the effects of the various factors on the transient preload, and verified by the dedicated test rig which is interfering with the spindle unit operation. There is a serious lack of test methods embedded in the spindle unit to ensure the real-time monitoring of the bearing statues.…”

Section: Introductionmentioning

confidence: 99%

Research on Thermal Stiffness of Machine Tool Spindle Bearing under Different Initial Preload and Speed Based on FBG Sensors

Dong

Chen

et al. 2021

Preprint

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As a key parameter, stiffness determines the dynamic characteristics of the bearing and the spindle unit. However, the interaction of the spindle speed, initial preload, and cutting force will change the bearing stiffness characteristics during the running process cause the thermal expansion of spindle unit components. Aiming at real-time online monitoring of the thermal characteristics of machine tool spindle bearing stiffness, this paper proposed a fiber Bragg grating (FBG) sensors network. And under different axial loads, combined axial and specific radial load, the bearing temperature rise, thermally induced preload, and thermal stiffness are studied. The results show that the thermal stiffness of the bearing decreases with the increase of the spindle speed, and there is an optimal initial preload at the speed to maximize the thermal stiffness of the bearing, and the thermally induced preload has an additional pre-tightening effect on the bearing.

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An improved thermo-mechanical model for spindle transient preload analysis

Cited by 3 publications

References 17 publications

An efficient thermal model for high-speed angular contact ball bearings based on oil-air two-phase flow and gray-box model

An efficient thermal model for high-speed angular contact ball bearings based on oil-air two-phase flow and gray-box model

Research on the Effect of Spindle Speed on the Softening and Hardening Characteristics of the Axial Operating Stiffness of Machine Tool Spindle

Research on Thermal Stiffness of Machine Tool Spindle Bearing under Different Initial Preload and Speed Based on FBG Sensors

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