Research Progress of Hydrostatic Bearing and Hydrostatic-Hydrodynamic Hybrid Bearing in High-End Computer Numerical Control Machine Equipment

Yu, Xiaodong; Gao, Weicheng; Feng, Yanan; Shi, Guangqiang; Li, Shihao; Chen, Minmin; Zhang, Ruiming; Wang, Junfeng; Jia, Wentao; Jiao, Jianhua; Dai, Ruichun

doi:10.1007/s12541-023-00796-6

Cited by 8 publications

(3 citation statements)

References 70 publications

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“…With the modern manufacturing industry evolving towards high precision and efficiency, CNC machine tools play an increasingly important role in the machining of complex parts [1][2][3][4]. However, thermal deformation, which is inevitable during the machining process and caused by temperature changes, significantly affects the machining accuracy and product quality of machine tools [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Thermal Error Compensation Technology: Thermodynamic Approaches to Enhance the Precision of Computer Numerical Control Machine Tools

Han

2024

IJHT

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With the widespread application of computer numerical control (CNC) machine tools in high-precision manufacturing, their machining accuracy has garnered significant attention. Thermal errors generated during machining processes are one of the primary factors affecting accuracy. Although thermal error compensation technologies have been extensively researched and implemented in practice to improve machine accuracy, existing methods still face limitations in the dynamic thermal behavior analysis and adaptability in practical applications. This paper delves into the thermal error compensation technologies for CNC machine tools, exploring measurement, prediction, and compensation methods. Firstly, it enhances the accuracy and efficiency of measurements by optimizing the layout of temperature measurement points through a detailed analysis of the mechanisms of thermal error generation. Secondly, it introduces a prediction framework based on digital twin technology to accurately simulate and predict the thermal behavior of machine tools. Lastly, it employs an optimized back propagation neural network (BPNN) for intelligent modeling of thermal errors, thereby improving the prediction accuracy and response speed. These studies not only aid in improving the design and operation of machine tools but also provide theoretical and technical support for high-precision machining.

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Section: Introductionmentioning

confidence: 99%

Thermal Error Compensation Technology: Thermodynamic Approaches to Enhance the Precision of Computer Numerical Control Machine Tools

Han

2024

IJHT

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“…Zhang et al (2018) used Fourier analysis to decompose the geometrical errors of the guideway and table into various frequency harmonics, integrating these with the cubic equivalence of oil film thickness to model hydrostatic guideway motion errors. Additionally, Yu et al (2023) identified thermal characteristics, specifically the thermal response of the support reaction force and the rise in hydrostatic oil temperature, as critical determinants of oil film contact surface errors. Shamoto et al (2001) used finite element method (FEM) to elucidate the interaction between oil film reaction forces and geometric errors on the oil film contact surface.…”

Section: Introductionmentioning

confidence: 99%

Influence of multisource errors of oil film contact surface on motion accuracy of hydrostatic guideway

He,

Liang,

et al. 2024

ILT

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Purpose This study aims to explore the impact of multisource deformation errors on the oil film contact surface, which arise from manufacturing, assembly, oil pressure and thermal influences, on the motion accuracy of hydrostatic guideway. Design/methodology/approach Using thermal-structural coupling simulations, this research investigates the effects of assembly, oil pressure and thermal factors on deformation errors of the oil film contact surface. By integrating these with manufacturing errors, a profile error model for the oil film contact surface is developed, characterizing the cumulative effect of these errors. Using kinematic theory and progressive Mengen flow controller characteristics, the motion error at any position of the hydrostatic guideway is quantified, examining how surface error traits impact motion accuracy. Findings The error averaging effect is affected by the profile error of oil film contact surface. Meanwhile, the motion accuracy of hydrostatic guideway is highly sensitive to the oil film contact surface error amplitude. Originality/value This approach allows for precise prediction and analysis of motion accuracy in hydrostatic guideways during the design and manufacturing stages. It also provides guidance for planning process tolerances. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-03-2024-0063/

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“…However, the operation of thrust bearings at high speeds and heavy loads can face some challenges. Under this condition, due to the strong squeezing and shearing effects between the oil film and the friction pair, the heating of the oil intensifies, resulting in uneven distribution of the oil film thickness and a decrease in the loading capacity of the oil film (Yu et al, 2022(Yu et al, , 2023a. Therefore, it is particularly important to study the tribological properties of thrust bearings.…”

Section: Introductionmentioning

confidence: 99%

Effects of differently shaped textures on the tribological properties of static and dynamic pressure thrust bearings and multiobjective optimization

Yu,

Shi,

Gao

et al. 2024

ILT

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Purpose The purpose of this study is to evaluate three types of textures designed to enhance the tribological performance of static and dynamic pressure thrust bearings. Design/methodology/approach To explore the effects of different types of textures on tribological performance, the Reynolds equation is modified using lubrication theory and computational fluid dynamics methods while considering the influence of cavitation and turbulence on the physical field. In addition, the tribological performance is optimized through an improved selection algorithm based on Pareto envelope (PESA). Findings The results indicate that textured thrust bearings exhibit superior tribological performance compared to untextured ones. The circular texture outperforms other textures in terms of load-bearing and friction performance, with improvements of approximately 28.8% and 18.9%, respectively. In addition, the triangular texture exhibits the most significant temperature improvement, with a reduction of approximately 1.93%. Originality/value The study proposes three types of textures and evaluates the friction performance of thrust bearings by modifying the Reynolds equation. In addition, the optimal texture design is determined using an improved selection algorithm based on PESA.

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Research Progress of Hydrostatic Bearing and Hydrostatic-Hydrodynamic Hybrid Bearing in High-End Computer Numerical Control Machine Equipment

Cited by 8 publications

References 70 publications

Thermal Error Compensation Technology: Thermodynamic Approaches to Enhance the Precision of Computer Numerical Control Machine Tools

Thermal Error Compensation Technology: Thermodynamic Approaches to Enhance the Precision of Computer Numerical Control Machine Tools

Influence of multisource errors of oil film contact surface on motion accuracy of hydrostatic guideway

Effects of differently shaped textures on the tribological properties of static and dynamic pressure thrust bearings and multiobjective optimization

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