A thermal error prediction model of the motorized spindles based on ABHHO-LSSVM

Sun, Shouqian; Qiao, Yunfei; Gao, Zhan; Wang, Junjian; Bian, Y.Q.

doi:10.1007/s00170-023-11429-7

Cited by 9 publications

(2 citation statements)

References 26 publications

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“…where P is the rated output power of the motor and η is the motor efficiency The thermal characteristics of the feed system largely depend on the friction heat generated in the rolling bearings, which is mainly caused by friction torque on the bearings and the viscous friction of the lubricants. Palmgren obtained an empirical formula for the friction torque on rolling bearings [10]. The heat flow H in the bearings is the following function of friction torque and speed:…”

Section: 𝑄 = 𝑃mentioning

confidence: 99%

Simulation and experimental study of the thermal characteristics of a high-speed motorized spindle

Zhang,

Jiang

2024

Archives of Thermodynamics

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Based on the finite element simulation software ANSYS Workbench, this study reports the thermal characteristics of a high-speed motorized spindle. The temperature field distribution and axial thermal deformation of the motorized spindle are then detected on an experimental platform. A comparison between the experimental and simulation results revealed the temperature rise of the motorized spindle during the working process. Under steady-state conditions of the working mo-torized spindle, the temperatures of the front bearing, rear bearing and stator were determined as 20°C, approximately 30°C and 25°C, respectively. The axial thermal elongation of the motorized spindle is approximately 10 μm.

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Section: 𝑄 = 𝑃mentioning

confidence: 99%

Simulation and experimental study of the thermal characteristics of a high-speed motorized spindle

Zhang,

Jiang

2024

Archives of Thermodynamics

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“…The proposed model achieves superior accuracy and robustness compared to traditional methods, significantly reducing RMSE for thermal elongation. Sun et al [26] proposed selecting temperature sensitive points, and an optimized prediction model based on ABHHO-LSSVM to enhance accuracy. G u o e t a l .…”

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confidence: 99%

The development of thermal error compensation on CNC machine tools by combining ridge parameter selection and backward elimination procedure

Chen,

Dai,

Lee

et al. 2023

Preprint

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The total processing error of CNC machine tools essentially comprises geometric errors and thermal errors. Therefore, reducing the influence of thermal errors is necessary. In this study, 13 temperature sensors were utilized to measure temperature variations of heat sources on a machine. These sensors work in conjunction with a non-contact optical measurement system to measure the positioning offset error of a rotating shaft. In this study, a ridge parameter selection method was devised and integrated into a backward elimination procedure to achieve ridge regression thermal error compensation modeling. The study considered three methods for selecting temperature variable combinations. The first method requires the use of all sensors, the second method selects the combination with the minimum mean-square error, and the third method considers the effect of diminishing returns. The ridge regression method, which considers the diminishing returns effect, is known as the “R–DR model”. The R-DR model is applied to the CNC machine used in this study to reduce the maximum peak-to-peak error on the Y-axis from 54.41 µm to 13.94 µm using only 3 temperature sensors, and on the Z-axis from 73.59 µm to 10.12 µm using 4 temperature sensors. Therefore, the R–DR model has two advantages: high precision (post-compensation peak-to-peak thermal error of less than 14 µm) and fewer temperature sensors, thereby allowing the thermal error compensation modeling method to demonstrate high engineering applicability and accuracy.

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The development of thermal error compensation on CNC machine tools by combining ridge parameter selection and backward elimination procedure

Chen,

Dai,

Lee

et al. 2023

Int J Adv Manuf Technol

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A thermal error prediction model of the motorized spindles based on ABHHO-LSSVM

Cited by 9 publications

References 26 publications

Simulation and experimental study of the thermal characteristics of a high-speed motorized spindle

Simulation and experimental study of the thermal characteristics of a high-speed motorized spindle

The development of thermal error compensation on CNC machine tools by combining ridge parameter selection and backward elimination procedure

The development of thermal error compensation on CNC machine tools by combining ridge parameter selection and backward elimination procedure

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