Machining accuracy improvement for a dual-spindle ultra-precision drum roll lathe based on geometric error analysis and calibration

Liu, Yutao; Ding, Fei; Li, Duo; Wu, Yangong; Xue, Jiadai; Wang, Wei; Qiao, Zheng; Wang, Bo

doi:10.1016/j.precisioneng.2020.08.005

Cited by 33 publications

(11 citation statements)

References 35 publications

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“…Bin Yang [8] et al used the MBS theory to analyse the motion process of the machine tool and considered the motion transfer relationship in the action chain to establish the kinematic model of each motion axis in the form of twisted exponential. Yutao Liu [9] et al used the multi-body system (MBS) theory to comprehensively analyze and calibrate geometric errors of the dual main axis-symmetric structure and cross-slide layout of an ultra-precision drum lathe. In addition to MBS theory, some other theories have also been applied to the error modelling of machine tools, such as the HTM theory.…”

Section: Introductionmentioning

confidence: 99%

A method of sensitivity analysis and precision prediction for geometric errors of five-axis machine tools based on multi-body system theory

Tan

Liao

Jiang

et al. 2022

Int J Adv Manuf Technol

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In order to ensure the mechanical performance and machining accuracy of the machine tool, the problem of mutual deviations of the machine tool moving parts in the machining process, which cause machining errors and subsequent accuracy prediction difficulties, is solved.Firstly, the structure and motion mechanism of the machine tool are analysed, and a static accuracy model of the machine tool machining posture relationship is established using multi-body system theory and coordinate transformation, and the measured deviation values are fitted and solved according to the formula, and the geometric error law affecting machining accuracy and the distribution of machining point error values in the machine tool motion space are explored. Then the response surface method is used to simplify the solution. Finally, the blade is selected as the machined part and the machining trajectory is extracted for experiments to obtain the error distribution range of the machining surface of the blade.The final experimental results surface, along the Z-directional component and the integrated average compensation rate reached 42.6% and 89.6% respectively, verifying the effectiveness of the method in this paper.

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Section: Introductionmentioning

confidence: 99%

A method of sensitivity analysis and precision prediction for geometric errors of five-axis machine tools based on multi-body system theory

Tan

Liao

Jiang

et al. 2022

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…Therefore, distributing weight to each geometric error reasonably is the prerequisite for the accuracy optimization design. In addition, error compensation is another way to improve the machining accuracy by compensating the key geometric errors [9][10][11][12][13]. In economic terms, it is unreasonable to compensate all geometric errors.…”

Section: Introductionmentioning

confidence: 99%

An approach to enhancing machining accuracy of five-axis machine tools based on a new sensitivity analysis method

Tao

Fan

et al. 2022

Int J Adv Manuf Technol

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Identification of key geometric errors is an essential prerequisite for improving the machining accuracy of five-axis machine tools. This paper presents a new sensitivity analysis (SA) method to extract key geometric errors, and then to improve the machining performance of machine tools by compensating key geometric error components. Development of geometric error prediction model is involved to obtain geometric error values at arbitrary positions at first. Based on the multi-body system theory and flank milling theory, the machining error model is developed, which considers 37 geometric errors. Then, a new SA method is introduced by taking the machining error model as sensitivity analysis model and taking the geometric errors as analytical factors. Meanwhile, a sensitivity index, which has the characteristics of simple expression and clear physical meaning, is proposed, i.e., the peak value of the machining error caused by each geometric error. Moreover, the simulations analysis is carried out to obtain the sensitivity coefficient of each geometric error and the key error components. Finally, the validity and correctness of the proposed method is demonstrated by the experiments. Furthermore, the SA method can be extended to multi-axis machine tools.

show abstract

“…Therefore, reasonable distribution of weights to each geometric error is the prerequisite for the accuracy optimization design. In addition, error compensation is another way to improve the machining accuracy by compensating the key geometric errors [9][10][11][12][13]. In economic terms, it is unreasonable to compensate all geometric errors.…”

Section: Introductionmentioning

confidence: 99%

Machining Accuracy Enhancement of Five-axis Machine Tools by a New Sensitivity Analysis Method Based on Machining Error Model

Tao

Chen

et al. 2022

Preprint

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Identification of key geometric errors is an essential prerequisite for improving the machining accuracy of five-axis machine tools. This paper presents a new sensitivity analysis (SA) method to extract key geometric errors, and then to improve the machining performance of machine tools by compensating key geometric error components. Development of geometric error prediction model is involved to obtain geometric error values at arbitrary positions at first. Based on the multi-body system theory and flank milling theory, the machining error prediction model is developed, which considers 37 geometric errors. Then, a new SA method is introduced by taking the machining error model as sensitivity analysis model and taking the geometric errors as analytical factors. Meanwhile, a sensitivity index, which has the characteristics of simple expression and clear physical meaning, is proposed, i.e., the peak value of the machining error caused by each geometric error. Moreover, the simulations analysis is carried out to obtain the sensitivity coefficient of each geometric error and the key error components. Finally, the validity and correctness of the proposed method is demonstrated by the experiments. Furthermore, the SA method can be extended to multi-axis machine tools.

show abstract

Machining accuracy improvement for a dual-spindle ultra-precision drum roll lathe based on geometric error analysis and calibration

Cited by 33 publications

References 35 publications

A method of sensitivity analysis and precision prediction for geometric errors of five-axis machine tools based on multi-body system theory

A method of sensitivity analysis and precision prediction for geometric errors of five-axis machine tools based on multi-body system theory

An approach to enhancing machining accuracy of five-axis machine tools based on a new sensitivity analysis method

Machining Accuracy Enhancement of Five-axis Machine Tools by a New Sensitivity Analysis Method Based on Machining Error Model

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