Hybrid Prediction Model of the Temperature Field of a Motorized Spindle

Zhang, Lixiu; Chaoqun, Li; Wu, Yuhou; Zhang, Ke; Shi, Huaitao

doi:10.3390/app7101091

Cited by 25 publications

(15 citation statements)

References 22 publications

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“…Shi et al [ 10 ] investigated the effect of thermal expansion on the ball screw feed drive system of a precision boring machine tool, and the theoretical model for thermally induced error along with heat generation characteristics was established. Zhang et al [ 11 ] used the finite element method to predict the temperature field of a high-speed and high-precision motorized spindle under different working conditions.…”

Section: Introductionmentioning

confidence: 99%

Thermal Positioning Error Modeling of Servo Axis Based on Empirical Modeling Method

Shi

et al. 2021

Micromachines

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In order to investigate the thermal effect of a servo axis’ positioning error on the accuracy of machine tools, an empirical modeling method was proposed, which considers both the geometric and thermal positioning error. Through the analysis of the characteristics of the positioning error curves, the initial geometric positioning error was modeled with polynomial fitting, while the thermal positioning error was built with an empirical modeling method. Empirical modeling maps the relationship between the temperature points and thermal error directly, where the multi-collinearity among the temperature variables exists. Therefore, fuzzy clustering combined with principal component regression (PCR) is applied to the thermal error modeling. The PCR model can preserve information from raw variables and eliminate the effect of multi-collinearity on the error model to a certain degree. The advantages of this modeling method are its high-precision and strong robustness. Experiments were conducted on a three-axis machine tool. A criterion was also proposed to select the temperature-sensitivity points. The fitting accuracy of the comprehensive error modeling could reach about 89%, and the prediction accuracy could reach about 86%. The proposed modeling method was proven to be effective and accurate enough to predict the positioning error at any time during the machine tool operation.

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Section: Introductionmentioning

confidence: 99%

Thermal Positioning Error Modeling of Servo Axis Based on Empirical Modeling Method

Shi

et al. 2021

Micromachines

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“…After analyzing the temperature field distribution and thermal deformation of motorized spindle, it is found that this method can improve the prediction accuracy. Zhang et al 19 established a temperature field prediction model based on the measured data of the outer surface temperature of motorized spindle, and optimized the heat transfer coefficient by genetic algorithm, which improved the prediction accuracy.…”

Section: Introductionmentioning

confidence: 99%

Design and thermal characteristic analysis of motorized spindle cooling system

Zhang

Wang

Zhang

et al. 2021

Advances in Mechanical Engineering

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The thermal deformation of high-speed motorized spindle will affect its reliability, so fully considering its thermal characteristics is the premise of optimal design. In order to study the thermal characteristics of high-speed motorized spindles, a coupled model of thermal-flow-structure was established. Through experiment and simulation, the thermal characteristics of spiral cooling motorized spindle are studied, and the U-shaped cooled motorized spindle is designed and optimized. The simulation results show that when the diameter of the cooling channel is 7 mm, the temperature of the spiral cooling system is lower than that of the U-shaped cooling system, but the radial thermal deformation is greater than that of the U-shaped cooling system. As the increase of the channel diameter of U-shaped cooling system, the temperature and radial thermal deformation decrease. When the diameter is 10 mm, the temperature and radial thermal deformation are lower than the spiral cooling system. And as the flow rate increases, the temperature and radial thermal deformation gradually decrease, which provides a basis for a reasonable choice of water flow rate. The maximum error between experiment and simulation is 2°C, and the error is small, which verifies the accuracy and lays the foundation for future research.

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“…The temperature distribution of the motor was calculated, but this coupling was simply unidirectional coupling, and there was a certain difference between the simulation value and the experimental value; the simulation results were inaccurate [11]. Lixiu Zhang et al took the machine motor spindle as the research object, and the prediction model of spindle temperature field for high speed motor under different working conditions was established, and the influence of the cooling system on the heat transfer coefficient of the motor spindle was considered [12].…”

Section: Introductionmentioning

confidence: 99%

Research on the Electromagnetic-Heat-Flow Coupled Modeling and Analysis for In-Wheel Motor

Xue

Tan

Liu

et al. 2020

WEVJ

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In this paper, a 15 KW in-wheel motor (IWM) is taken as the research object, and the coupling factors among the electromagnetic field, temperature field and flow field are analyzed, and the strong and weak coupling factors between the three fields are clarified, and by identifying the strong and weak coupling factors between the three fields, a three-field coupling analysis model for IWM with appropriate complexity is established, and the validity of the model is verified. In a certain driving condition, the electromagnetic field, temperature field and flow field characteristics of IWM are analyzed with the multi-field coupling model. The result shows that, after the IWM runs 8440 s under driving conditions, in this paper, the IWM electromagnetic torque of the rated working condition is 134.2 Nm, and IWM the electromagnetic torque of the peak working condition is 451.36 Nm, and the power requirement of the motor can be guaranteed. The highest temperature of the IWM is 150 °C, which does not exceed the insulation grade requirements of the motor (155 °C), the highest temperature of the permanent magnet (PM) is 65.6 °C, and it does not exceed the highest operating temperature of the PM, and ensures the accurate calculation of components loss and the temperature of the motor. It can be found, through research, that the electromagnetic torque difference between unidirectional coupling and bidirectional coupling is 3.2%, the maximum temperature difference is 7.98% in the three-field coupling analysis of IWM under rated working conditions. Therefore, it is necessary to consider the influence of coupling factors on the properties of motor materials when analyzing the electromagnetic field, temperature field and flow field of IWM; it also provides some reference value for the simulation analysis of IWM in the future.

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Hybrid Prediction Model of the Temperature Field of a Motorized Spindle

Cited by 25 publications

References 22 publications

Thermal Positioning Error Modeling of Servo Axis Based on Empirical Modeling Method

Thermal Positioning Error Modeling of Servo Axis Based on Empirical Modeling Method

Design and thermal characteristic analysis of motorized spindle cooling system

Research on the Electromagnetic-Heat-Flow Coupled Modeling and Analysis for In-Wheel Motor

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