Adaptive on-line compensation model on positioning error of ball screw feed drive systems used in computerized numerical controlled machine tools

Li, Tiejun; Zhao, Chunyu; Zhang, Yimin

doi:10.1177/0954405417752512

Cited by 19 publications

(21 citation statements)

References 31 publications

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“…In equation (9), Du = u L À u t , u t is related to the displacement of the workbench. Regardless of vibration, it can be seen in Li et al 24 that the displacement of the workbench S is…”

Section: Modeling and Analysis Of The Mechanical Subsystemmentioning

confidence: 99%

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Multi-domain integrated modeling and verification for the ball screw feed system in machine tools

Mei

Chen

Ding

2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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An accurate dynamic model for the computer numerical control machine tool feed system is of great significance to improve the machining accuracy. However, the accurate dynamic model of the feed system is difficult to be established because its dynamic characteristics not only depend on the performance of subsystems, such as mechanical, electrical, and control, but also on the interaction between them. In order to solve this problem, a modular modeling method based on a non-causal connection is proposed in this article, and the multi-domain seamless integrated model for the ball screw feed system is established. First, the feed system is decomposed by modularization, and the interface models in each domain are defined. Then all the subsystems are modeled strictly, and the nonlinear characteristics of each subsystem are analyzed. Finally, the multi-domain seamless integrated model of the ball screw feed system is established by the non-causal connection of subsystem models, and the experiment is carried out to validate the system model. The experimental results show that the multi-domain seamless integrated model of the ball screw feed system established in this article can accurately reflect the dynamic characteristics of the real physical system, and has high prediction accuracy for the dynamic following error. It is of great significance to further study the multi-domain coupling characteristics and compensation control methods of the machine tool system.

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“…In equation (9), Du = u L À u t , u t is related to the displacement of the workbench. Regardless of vibration, it can be seen in Li et al 24 that the displacement of the workbench S is…”

Section: Modeling and Analysis Of The Mechanical Subsystemmentioning

confidence: 99%

“…It has attracted much attention of researchers and numerous articles have been published. 9–11 Different modeling methods for mechanical parts of the machine tool feed system are put forward. 2,12–15 By using the hybrid element method, Zhang et al 2 established the mechanical part model of a high speed ball screw feed drive system.…”

Section: Introductionmentioning

confidence: 99%

Multi-domain integrated modeling and verification for the ball screw feed system in machine tools

Mei

Chen

Ding

2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…With regard to analysis of accuracy degradation and the law of accuracy degradation, based on the basic research on friction and wear and the creep theory, 14,15 BSM wear models and wear characteristics have been established, and related experiments have been designed and conducted. 15–19 In addition, the positioning accuracy prediction 20 and accuracy compensation of the ball screw 21 have also been studied. Based on the creep theory, Xu et al 15 established a BSM friction force calculation model, while Oh et al 16 improved the friction torque model of a double-nut BSM.…”

Section: Introductionmentioning

confidence: 99%

“…The positioning error of the ball screw feed drive system was predicted considering different mounting conditions, 20 and an adaptive on-line analytical compensation model of the BSM positioning error was established. 21…”

Section: Introductionmentioning

confidence: 99%

Positioning accuracy degradation and lifetime prediction of the ball screw considering time-varying working conditions and feed modes

Cheng

Liu

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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Ball screw mechanisms (BSMs) are used as accuracy transmission components in a wide range of industries and are characterized by their high accuracy. More specifically, the positioning accuracy of BSM has a significant effect on the accuracy of machine tool. Based on the macro-micro multiscale method, an exponential prediction model for the BSM positioning accuracy was developed considering time-varying working conditions (load and rotational speed) and feed modes. Since the accuracy degradation is mainly caused by wear, a microscopic approach was proposed to describe the positioning accuracy retention and the microscopic wear process was investigated. The sliding contact of the asperities between the ball and raceway was analyzed, and the microscopic wear behavior of the asperities was determined. Considering the time-varying working conditions, the BSM positioning accuracy characteristics were obtained under the normal feed mode by conducting suitable tests. The exponential wear model used the wear index to describe the wear status based on the positioning accuracy measurement. The accuracy loss value and the prediction index of positioning accuracy were determined based on an exponential model, and the effective lifetime of the BSM was predicted. Finally, the exponential prediction model was used in negative/positive skew feed distribution, and the effective lifetime determined.

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“…Computer numerical control (CNC) machine tool development is moving in the direction of high speed, high precision and high repeatability. [1][2][3][4] The repeatability of positioning of linear axes is an important indicator of machine tool performance, it reflects the stability and consistency of the machine tool position, which is a non-compensable error. 5,6 At present, the research on machine tool accuracy mainly focuses on positioning error, [7][8][9] which is usually reduced by the method of error compensation.…”

Section: Introductionmentioning

confidence: 99%

Experimental study on the repeatability of positioning of linear axes of machine tools

Sun

Zhang

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part B:

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This study presents experimental investigations on the mechanisms of the repeatability of positioning of linear axes of computer numerical control machine tools. First, the factors affecting the repeatability of positioning of linear axes are obtained based on orthogonal experiments. Second, the mechanism of each factor affecting the repeatability of positioning is studied based on single-factor experiments. Finally, an assembly method to improve the repeatability of positioning of linear axes is proposed. The method can provide designers and workers with informative guidelines for improving the repeatability of positioning in design and assembly processes.

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Adaptive on-line compensation model on positioning error of ball screw feed drive systems used in computerized numerical controlled machine tools

Cited by 19 publications

References 31 publications

Multi-domain integrated modeling and verification for the ball screw feed system in machine tools

Multi-domain integrated modeling and verification for the ball screw feed system in machine tools

Positioning accuracy degradation and lifetime prediction of the ball screw considering time-varying working conditions and feed modes

Experimental study on the repeatability of positioning of linear axes of machine tools

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