A novel method for machining accuracy reliability and failure sensitivity analysis for multi-axis machine tool

Niu, Peng; Cheng, Qiang; Zhang, Caixia; Hao, Xiaolong; Yang, Congbin; Chen, Chuanhai

doi:10.1007/s00170-021-08003-4

Cited by 7 publications

(2 citation statements)

References 36 publications

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“…Ding et al 11 and Liu et al 12 predicted milling errors of part’s surfaces based on geometric error modeling. Niu et al 13 proposed a research method by the cross-correlation studies of geometric error parameters to improve the accuracy and reliability of CNC machine tools. Later, Zhang et al 14 proposed a machining accuracy reliability evaluation method that considers both the geometric and vibration errors.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Model Based Prediction of Machining Accuracy for Milling Machine

Huang,

Wang

2024

Proceedings of the Institution of Mechanical Engineers, Part C:

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The accuracy of machining can be predicted during the design process of CNC machine tools, while the prediction accuracy depends on the prediction model. However, when establishing the prediction model, the coupling effect among the machine tool’s different components is always ignored for modeling efficiency, so this will lead to its reliability cannot be guaranteed. To address this problem, the model reduction theory and the lumped parameter method are used in this study to set the state-space equations of the essential structural parts. Moreover, the electro-mechanical coupling parameter equation of the servo system is transformed into a state-space equation. Then the state-space equations of the components and the servo system are coupled to establish the machine tool dynamic model. Furthermore, a theoretical model of instantaneous undeformed chip thickness is found, and according to the linear relationship between the micro-cutting force and the instantaneous undeformed chip thickness, the instantaneous cutting force model of the cylindrical milling cutter is established. Based on these, the integrated model, which considers the mechanical structure, control system and cutting force, is obtained and further used in Simulink to build the machining accuracy prediction platform, as well as the accuracy of the integrated prediction model is verified. Moreover, the prediction model established by the integrated modeling method can effectively simulate the actual machining conditions of the machine tool, and the superiority of prediction is confirmed by comparing the simulated and measured results in peripheral milling applications. The results show the error in the system response efficiency is 14.8%, while the error in position accuracy and delay characteristics is less than 10%, the error between the predicted size of the prediction model and the actual size is within 28 μm, a minimum prediction error is 7 μm.

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Section: Introductionmentioning

confidence: 99%

An Integrated Model Based Prediction of Machining Accuracy for Milling Machine

Huang,

Wang

2024

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…On this foundation, the global sensitivity of the geometric error of the machine tool was calculated and the important error sources was identified, which provided a theoretical basis for error compensation and accuracy allocation. Niu et al [6] combined the MBS theory and HTM method to established the spatial machining accuracy model of the machine tool, and the accuracy reliability of machine tool was studied by analyzing the relationship between geometric error parameters. Wang et al [7] used MBS theory and HTM method to established the volume error model of heavy machine tools.…”

mentioning

confidence: 99%

A new method for motion accuracy allocation of mechanical transmission system based on interval intuitionistic trapezoidal fuzzy number and Meta-action theory

et al. 2022

Preprint

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There are two problems in the traditional motion accuracy allocation process of mechanical transmission system: one is the error modeling process can not reflect the error formation mechanism of the system; the other is the influence of maintenance cost is ignored in the process of establishing the optimal allocation model of motion accuracy. Therefore, the meta-action theory is introduced in this paper and the meta-action unit is taken as the basic analysis unit, the error modeling of the mechanical transmission system is studied and the formation mechanism of the motion error is correctly analyzed. The factors of part manufacturing cost, assembly cost and maintenance cost of unit are comprehensively considered, and the comprehensive cost of mechanical transmission system is accurately evaluated by using multi-criteria decision making (MCDM) method. Then, based on the motion error model of mechanical transmission system, a multi-objective optimal allocation model of motion accuracy is established. The Pareto non-dominated solution set is solved by intelligent algorithm, and the optimal solution is selected by fuzzy set method to realize the allocation of motion accuracy of mechanical transmission system. Finally, the method described in this paper is illustrated by an engineering example.

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Machining accuracy reliability evaluation of CNC machine tools based on the milling stability optimization

Zhang

Yang

et al. 2022

Int J Adv Manuf Technol

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A novel method for machining accuracy reliability and failure sensitivity analysis for multi-axis machine tool

Cited by 7 publications

References 36 publications

An Integrated Model Based Prediction of Machining Accuracy for Milling Machine

An Integrated Model Based Prediction of Machining Accuracy for Milling Machine

A new method for motion accuracy allocation of mechanical transmission system based on interval intuitionistic trapezoidal fuzzy number and Meta-action theory

Machining accuracy reliability evaluation of CNC machine tools based on the milling stability optimization

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