Application of principal component algorithm in spindle thermal error modeling of CNC machine tools

Wei, Xinyuan; Chen, Yu‐Chen; Miao, Enming; Feng, Xugang; Pan, Qiaosheng

doi:10.37188/ope.20212911.2649

Cited by 3 publications

(2 citation statements)

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“…Jin et al [22] built a casting-molding-size prediction model by orthogonal experiments for the multi-process machining process of investment casting, based on which the error compensation control of heat treatment of investment casting was realized. Wei et al [23] built a PCR model of spindle thermal error to improve the prediction accuracy of the thermal-error compensation model for CNC machine tools, which improved the predictive compensation accuracy by 23.4%. By using rigid-body kinematics, Okafor et al [24] derived a machine-toolpath-error model for compensating machining errors in three-axis vertical machining centers.…”

Section: Error-compensation Methods For Workpiece Featuresmentioning

confidence: 99%

Characterization of Dimensional Variations in Turning Process for Multistep Rotary Shaft of High-Speed Motorized Spindle

Tian

Liu

et al. 2023

Machines

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The surface accuracy of a multistep rotary shaft is very important in manufacturing and the assembly process of the high-speed motorized spindle of CNC machine tools, which is closely related to the machined dimensional variation induced by the turning process. This paper attempts to enhance a comprehensive understanding of the impact of different locating-error sources and machine toolpaths on the machined dimensional variation for multistep rotary parts of the high-speed motorized spindle in the turning process. A modeling method and a compensation strategy of dimensional variation are introduced in this paper and based on the relationship definition between the error sources and the machined surface using the differential motion vector and stream-of-variation methods. Validation experiments were conducted to verify the proposed model. Additionally, the relationship between locating errors and dimensional variation was investigated with varied case studies, providing a theoretical methodology for the prediction and characterization of the expected dimensional variations of the surface machined with the given conditions.

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Section: Error-compensation Methods For Workpiece Featuresmentioning

confidence: 99%

Characterization of Dimensional Variations in Turning Process for Multistep Rotary Shaft of High-Speed Motorized Spindle

Tian

Liu

et al. 2023

Machines

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show abstract

“…However, despite various proposed methods for measuring and compensating thermal errors, there are still some deficiencies and flaws. Current studies are mostly focused on compensating static thermal errors, with insufficient exploration of the dynamic thermal behavior demonstrated by machine tools during actual machining processes [16][17][18][19]. Moreover, existing thermal error prediction models and compensation algorithms have not yet fully adapted to complex machining conditions and environmental changes, and their adaptability and accuracy in real application scenarios still need to be improved [20,21].…”

Section: Introductionmentioning

confidence: 99%

Thermal Error Compensation Technology: Thermodynamic Approaches to Enhance the Precision of Computer Numerical Control Machine Tools

Han

2024

IJHT

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With the widespread application of computer numerical control (CNC) machine tools in high-precision manufacturing, their machining accuracy has garnered significant attention. Thermal errors generated during machining processes are one of the primary factors affecting accuracy. Although thermal error compensation technologies have been extensively researched and implemented in practice to improve machine accuracy, existing methods still face limitations in the dynamic thermal behavior analysis and adaptability in practical applications. This paper delves into the thermal error compensation technologies for CNC machine tools, exploring measurement, prediction, and compensation methods. Firstly, it enhances the accuracy and efficiency of measurements by optimizing the layout of temperature measurement points through a detailed analysis of the mechanisms of thermal error generation. Secondly, it introduces a prediction framework based on digital twin technology to accurately simulate and predict the thermal behavior of machine tools. Lastly, it employs an optimized back propagation neural network (BPNN) for intelligent modeling of thermal errors, thereby improving the prediction accuracy and response speed. These studies not only aid in improving the design and operation of machine tools but also provide theoretical and technical support for high-precision machining.

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Data-driven thermal error modeling based on a novel method of temperature measuring point selection

Liu,

Deng,

Feng

et al. 2024

Int J Adv Manuf Technol

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Application of principal component algorithm in spindle thermal error modeling of CNC machine tools

Cited by 3 publications

References 0 publications

Characterization of Dimensional Variations in Turning Process for Multistep Rotary Shaft of High-Speed Motorized Spindle

Characterization of Dimensional Variations in Turning Process for Multistep Rotary Shaft of High-Speed Motorized Spindle

Thermal Error Compensation Technology: Thermodynamic Approaches to Enhance the Precision of Computer Numerical Control Machine Tools

Data-driven thermal error modeling based on a novel method of temperature measuring point selection

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