Thermal error prediction of motorized spindle for five-axis machining center based on analytical modeling and BP neural network

Liu, Yang; Zhu, Xiaogang; Zhai, Ying

doi:10.1007/s12206-020-1228-7

Cited by 30 publications

(17 citation statements)

References 24 publications

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“…The equivalent magnetic circuit (EMC) is combined with (8) to estimate iron losses in induction motors (IMs) of motorized spindles. The spindle motor is supplied with a voltage source inverter.…”

Section: Calculation Of Iron Losses In S Pindle Induction Motorsmentioning

confidence: 99%

“…The spindle motor is supplied with a voltage source inverter. The EMC is used to calculate the magnetic flux densities of the spindle motor stator and rotor cores and the corresponding loss densities are calculated by (8). The total iron losses in the spindle motor can be calculated from the following formula…”

Section: Calculation Of Iron Losses In S Pindle Induction Motorsmentioning

confidence: 99%

“…It is a challenge task to analyze and predict them accurat ely. The calculation results of motorized spindles such as heat generation, thermal deformation [8]- [9], and working efficiency are further affect ed when motorized spindles are developed and designed. Therefore, to find a fast and accurate prediction method of iron losses in the spindle motor is very important for reducing the development and…”

Section: Introductionmentioning

confidence: 99%

“…The combination of the finite element analysis (FEA) and the loss models of SMMs has become a fashionable method of cal culating iron losses in motors [8], [25]- [29]. The FEA is used along with the Bertotti's model to estimate iron losses in a slot-less PMSM with the stator cores made from two different types of SMMs [8], and together with the MSE to calculate the hysteresis loss in a surface-mounted PMSM [27]. The desired or accurate results can be obtained from the FEA, but it requires a long enough time for the preparation work including motor modelling, model meshing, and material definition.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Fast Engineering Method for Estimating Iron Losses in Induction Type Motor Spindles Based on Equivalent Magnetic Circuit

Lü¹,

Wang²,

Hu³

2021

Preprint

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The iron losses in the motor of motorized spindles have a significant effect on the heat generation, working efficiency, and speed-torque characteristics of motorized spindles as well as on their thermal deformation and machining accuracy. The existing finite element and analytical methods based on Maxwell’s equations are too complicated to be suitable for engineering designers. A fast engineering method for estimating iron losses in the spindle motor is presented based on equivalent magnetic circuit (EMC) where the problem of solving a complex electromagnetic field inside the spindle motor is simplified into a simple magnetic circuit calculation by the assumption that the magnetic flux density distribution of any cross section along the magnetic flux direction in the spindle motor is uniform. The EMC is combined with the Boglietti’s model. They are integrated into a developed program by compiling source codes to achieve the analysis and prediction of iron losses in the spindle motor. The results obtained from the proposed method are compared with the prototype experiment data to verify its validity. With the purpose of ensuring accurate experiment results of iron losses, a method of no load running combined with a sudden loss of power supply is proposed to eliminate the braking torque and electromagnetic losses of the spindle motor, namely to achieve the separation of the mechanical loss from the total losses.

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Section: Calculation Of Iron Losses In S Pindle Induction Motorsmentioning

confidence: 99%

Section: Calculation Of Iron Losses In S Pindle Induction Motorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Fast Engineering Method for Estimating Iron Losses in Induction Type Motor Spindles Based on Equivalent Magnetic Circuit

Lü¹,

Wang²,

Hu³

2021

Preprint

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show abstract

“…At present, thermal compensation and cooling are the main control methods of thermal deformation. Thermal compensation is predicted and compensated by algorithms such as BP neural network 9 and adaptive chaos particle swarm optimization algorithm, 10 but it is not universal. The cooling methods are divided into active and passive methods.…”

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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Research on Fault Prediction of Electric Spindle in Five-Axis Machining Center Based on Bayes-SVM

Wang,

Yu,

Zhang

et al. 2024

Mechanisms and Machine Science

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Thermal error prediction of motorized spindle for five-axis machining center based on analytical modeling and BP neural network

Cited by 30 publications

References 24 publications

A Fast Engineering Method for Estimating Iron Losses in Induction Type Motor Spindles Based on Equivalent Magnetic Circuit

A Fast Engineering Method for Estimating Iron Losses in Induction Type Motor Spindles Based on Equivalent Magnetic Circuit

Design and thermal characteristic analysis of motorized spindle cooling system

Research on Fault Prediction of Electric Spindle in Five-Axis Machining Center Based on Bayes-SVM

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