Modeling for spindle thermal error in machine tools based on mechanism analysis and thermal basic characteristics tests

Xiang, Sitong; Zhu, Xiaolong; Yang, Jing

doi:10.1177/0954406214531219

Cited by 23 publications

(16 citation statements)

References 17 publications

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“…This showed the SVM model to be valid and feasible. Xiang et al [16] established a preliminary model theory of temperature field and thermal deformation through mechanism analysis of the spindle size and parameters of the bearings. They then carried out tests under two different initial temperature conditions, evaluated the test results and modified the preliminary theoretical model to obtain a final model.…”

Section: Introductionmentioning

confidence: 99%

A Linear Regression Thermal Displacement Lathe Spindle Model

Lin

et al. 2020

Energies

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Thermal error is one of the main reasons for the loss of accuracy in lathe machining. In this study, a thermal deformation compensation model is presented that can reduce the influence of spindle thermal error on machining accuracy. The method used involves the collection of temperature data from the front and rear spindle bearings by means of embedded sensors in the bearing housings. Room temperature data were also collected as well as the thermal elongation of the main shaft. The data were used in a linear regression model to establish a robust model with strong predictive capability. Three methods were used: (1) Comsol was used for finite element analysis and the results were compared with actual measured temperatures. (2) This method involved the adjustment of the parameters of the linear regression model using the indicators of the coefficient of determination, root mean square error, mean square error, and mean absolute error, to find the best parameters for a spindle thermal displacement model. (3) The third method used system recognition to determine similarity to actual data by dividing the model into rise time and stable time. The rise time was controlled to explore the accuracy of prediction of the model at different intervals. The experimental results show that the actual measured temperatures were very close to those obtained in the Comsol analysis. The traditional model calculates prediction error values within single intervals, and so the model was divided to give rise time and stable time. The experimental results showed two error intervals, 19µm in the rise time and 15µm in the stable time, and these findings allowed the machining accuracy to be enhanced.

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Section: Introductionmentioning

confidence: 99%

A Linear Regression Thermal Displacement Lathe Spindle Model

Lin

et al. 2020

Energies

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“…Xie et al [5] proposed an improved one-dimensional model and derived the temperature distribution function of the spindle system based on the transient heat transfer equation and boundary conditions. With the rapid development of computer science, certain commercial computing softwares such as ANSYS and ABAQUS are also applied for analyzing the thermal characteristics of the spindle [6][7][8][9][10]. Based on the quasistatic model and FDM, Than and Huang [11] proposed a unified method for predicting the nonlinear thermal characteristics of high-speed spindle bearings.…”

Section: Introductionmentioning

confidence: 99%

Improved thermal resistance network model of motorized spindle system considering temperature variation of cooling system

Yang

Meng

et al. 2018

Adv. Manuf.

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In the motorized spindle system of a computer numerical control (CNC) machine tool, internal heat sources are formed during high-speed rotation; these cause thermal errors and affect the machining accuracy. To address this problem, in this study, a thermal resistance network model of the motorized spindle system is established based on the heat transfer theory. The heat balance equations of the critical thermal nodes are established according to this model with Kirchhoff's law. Then, they are solved using the Newmark-b method to obtain the temperature of each main component, and steady thermal analysis and transient thermal analysis of the motorized spindle system are performed. In order to obtain accurate thermal characteristics of the spindle system, the thermalconduction resistance of each component and the thermalconvection resistance between the cooling system and the components of the spindle system are accurately obtained considering the effect of the heat exchanger on the temperature of the coolant in the cooling system. Simultaneously, high-precision magnetic temperature sensors are used to detect the temperature variation of the spindle in the CNC machining center at different rotational speeds. The experimental results demonstrate that the thermal resistance network model can predict the temperature field distribution in the spindle system with reasonable accuracy. In addition, the influences of the rotational speed and cooling conditions on the temperature increase of the main components of the spindle system are analyzed. Finally, a few recommendations are provided to improve the thermal performance of the spindle system under different operational conditions.

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“…multivariable linear regression model, natural exponential model and finite element model). Besides, Xiang et al 20 accurately predicted multi-degree-of-freedom spindle thermal errors by applying experimental modifications to preliminary theoretical models of the temperature field and thermal deformation. Akhondzadeh and Vahdati 21 investigated the influence of air pocket geometry and depth on air spindle vibrations through the experiment.…”

Section: Introductionmentioning

confidence: 99%

Measurement and analysis for frequency domain error of ultra-precision spindle in a flycutting machine tool

Chen

Sun

An³

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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The ultra-precision spindle is the key component of ultra-precision machine tool, which largely influences the machining accuracy. Its frequency characteristics mainly affect the frequency domain error of the machined surface. In this article, the error measurement setup for the ultra-precision aerostatic spindle in a flycutting machine tool is established. The dynamic and multi-direction errors of the spindle are real-time measured under different rotation speeds. Then, frequency domain analysis is carried out to obtain its regularity characteristics based on the measurement result. Through the analysis, the main synchronous and asynchronous errors with relatively large amplitude of the spindle errors are found, and the amplitude change law of these main spindle errors is obtained. Besides, the cause of the main synchronous and asynchronous errors is also analyzed and indicated. This study deepens the understanding of ultra-precision spindle dynamic characteristics and plays the important role in the spindle frequency domain errors' control, machining process planning, frequency characteristics analysis and oriented control of the machined surface errors.

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Modeling for spindle thermal error in machine tools based on mechanism analysis and thermal basic characteristics tests

Cited by 23 publications

References 17 publications

A Linear Regression Thermal Displacement Lathe Spindle Model

A Linear Regression Thermal Displacement Lathe Spindle Model

Improved thermal resistance network model of motorized spindle system considering temperature variation of cooling system

Measurement and analysis for frequency domain error of ultra-precision spindle in a flycutting machine tool

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