Thermal error detection and compensation technology for spindle of horizontal CNC machine tool with large torque

Zhao, Changyong; Xia, Yuanmeng; Chen, Xuezhen; Jiang, Yunfeng; He, Yi; Pan, Shilu; Fei, Ya

doi:10.1007/s00170-020-05015-4

Cited by 9 publications

(3 citation statements)

References 19 publications

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“…According to (2-7), the axial deformation of the lead screw support bearing is the internal bearing parameters related to the number of rollers, rolling contact length and axial preload force, which are all the established rated parameters of the lead screw bearing during installation. The axial deformation of the bearing part of the supporting lead screw is constant and independent of the axial force of the lead screw [28]. Therefore, in the error modeling, part of the axial deformation due to the lead screw bearing is classified as a non-axial load variation error.…”

Section: Elastic Deformation Due To Incremental Axial Loadmentioning

confidence: 99%

Deformation error compensation by stiffness model of mechanical joint on a flexible track drilling robot for aircraft assembly

Li¹,

Tian

Hu³

et al. 2023

Preprint

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The level of automation and precision in aircraft assembly determines the effectiveness and quality of aircraft manufacturing. In contrast, the unstable localization accuracy resulting from the layout pattern of flexible track drilling robot has limited their further development and applications in domains with high machining accuracy requirements, such as aircraft assembly. This study begins by presenting the paradox between the need for high-precision drilling tasks during aircraft construction and the lack of accuracy of automated drilling equipment. The problem of self-precision loss due to flexible track drilling devices is examined in a new application scenario where the overall position and pose layout change with the location of the process station. Then, the characteristics of the weak rigidity of the transmission system of the flexible track drilling robot at the joint surface and the variation of the transmission axial load due to variations in the position and pose of the drilling process station are examined. In addition, an equivalent stiffness model is developed to predict the incremental error of the entire process station, and the incremental error conjecture due to the elastic deformation of the coupling surface of the transmission system is proposed as an optimization algorithm for global position accuracy compensation. Finally, the incremental error conjecture is discussed and validated by designing ablation test groups one by one and evaluating the effect of the precision compensation algorithm. Experimental results showed that the incremental error compensation method optimized 68.67 percent of the total error.

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Section: Elastic Deformation Due To Incremental Axial Loadmentioning

confidence: 99%

Deformation error compensation by stiffness model of mechanical joint on a flexible track drilling robot for aircraft assembly

Li¹,

Tian

Hu³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The experiment’s results show that the method effectively predicts the radial deviation of CNC machine tools. Zhao et al [ 16 ] proposed a three-dimensional thermal-error analysis method based on rotation error vector and translation error vector, obtained six vectors of thermal error in the three-dimensional space of the spindle through the testing experiments, and used the thermal-error compensation technique of space coordinate transformation parameters to verify the machining of S samples before and after the compensation for the thermal error. The machining accuracy of the parts was improved by 34.1%, which laid a theoretical foundation for the detection of and compensation for thermal error in asymmetric spindles in the same kind of high-torque CNC machine tools.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Sensing of Thermal Error of CNC Machine Tool Spindle Based on Multi-Source Information Fusion

Yang,

Liu,

Zhang

et al. 2024

Sensors

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Aiming at the shortcomings of single-sensor sensing information characterization ability, which is easily interfered with by external environmental factors, a method of intelligent perception is proposed in this paper. This method integrates multi-source and multi-level information, including spindle temperature field, spindle thermal deformation, operating parameters, and motor current. Firstly, the internal and external thermal-error-related signals of the spindle system are collected by sensors, and the feature parameters are extracted; then, the radial basis function (RBF) neural network is utilized to realize the preliminary integration of the feature parameters because of the advantages of the RBF neural network, which offers strong multi-dimensional solid nonlinear mapping ability and generalization ability. Thermal-error decision values are then generated by a weighted fusion of different pieces of evidence by considering uncertain information from multiple sources. The spindle thermal-error sensing experiment was based on the spindle system of the VMC850 (Yunnan Machine Tool Group Co., LTD, Yunnan, China) vertical machining center of the Yunnan Machine Tool Factory. Experiments were designed for thermal-error sensing of the spindle under constant speed (2000 r/min and 4000 r/min), standard variable speed, and stepped variable speed conditions. The experiment’s results show that the prediction accuracy of the intelligent-sensing model with multi-source information fusion can reach 98.1%, 99.3%, 98.6%, and 98.8% under the above working conditions, respectively. The intelligent-perception model proposed in this paper has higher accuracy and lower residual error than the traditional BP neural network perception and wavelet neural network models. The research in this paper provides a theoretical basis for the operation, maintenance management, and performance optimization of machine tool spindle systems.

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“…Sun [4] simulated the temperature field diagram of the milling head, and the high temperature is mainly concentrated in the motorized spindle. When the spindle is running, the high-speed rotation of the spindle and its transmission chain provides the main heat source for the temperature change of the milling head [5], resulting in a significant increase in the temperature of the spindle, A-axis, and Caxis. To analyze the spindle thermal error closely related to the bearing thermal characteristics, Liu et al [6] proposed a motorized spindle unit analysis and modeling method based on thermal-fluidstructure coupled finite element simulation to predict the thermal characteristics of the motorized spindle.…”

Section: Introductionmentioning

confidence: 99%

Temperature measurement point optimization and experimental research for bi-rotary milling head of five-axis CNC machine tool

Dai

et al. 2022

Int J Adv Manuf Technol

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Thermal deformation is the main factor affecting the machining accuracy of the Bi-rotary Milling Head. To accurately find out the temperature-sensitive points of the Bi-rotary Milling Head to suppress thermal deformation, this paper adopts the BP neural network sensitivity analysis method with improved connection weights to optimize the temperature measurement points, and the analysis results are subjected to randomized mean value processing to reduce the randomness of the initialization of the prediction model. The number of temperature measurement points is reduced from 15 to 4. Taking the 5AS01 Direct-drive Bi-rotary Milling Head as an example, a thermal-structural coupling model is established to analyze its thermal characteristics, and the capillary copper tube cooling suppression experiment is arranged according to the position of the temperature-sensitive points. The experimental results show that cooling the temperature-sensitive points can simultaneously reduce the thermal error in X and Z-directions by about 58%, providing a basis for the Bi-rotary Milling Head to improve machining accuracy.

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Thermal error detection and compensation technology for spindle of horizontal CNC machine tool with large torque

Cited by 9 publications

References 19 publications

Deformation error compensation by stiffness model of mechanical joint on a flexible track drilling robot for aircraft assembly

Deformation error compensation by stiffness model of mechanical joint on a flexible track drilling robot for aircraft assembly

Intelligent Sensing of Thermal Error of CNC Machine Tool Spindle Based on Multi-Source Information Fusion

Temperature measurement point optimization and experimental research for bi-rotary milling head of five-axis CNC machine tool

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