An approach for accuracy enhancement of five-axis machine tools based on quantitative interval sensitivity analysis

Fan, Jinwei; Tao, Haohao; Pan, Ri; Chen, Dongju

doi:10.1016/j.mechmachtheory.2020.103806

Cited by 38 publications

(14 citation statements)

References 24 publications

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“…On the other hand, the averaged accuracy improvement of the OMM device is limited (not more than one order of magnitude) in this paper, so, the accuracy and stability of the 3-D ball array calibrator are still worth further improvement in future studies. 1,2,3,27,51,20,21,22,23,26,71,72,24,25,48,49,50,68,69,70,4,5,6,71,7,31,55,28,29,30,52,53,54,8,9,10,67,73,11,35,59,12,13,14,15,34,63,74,32,33,56,   , 57, 58, 60, 61, 62, 64, 65, 66 0, 1, 2, 3, 6, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25...…”

Section: Discussionmentioning

confidence: 99%

“…( 5), and Eq. ( 6) is obtained  A JG (5) where A is a new Jacobian matrix about K, and E becomes a generalized linear model. (6) In Eq.…”

Section: = E Jgkmentioning

confidence: 99%

“…As for the error modeling, Many effective error modeling methods have been proposed such as the homogeneous transformation matrix (HTM) [4], multi-body system (MBS) [5], screw theory [6], differential motion matrix method (DMM) [7] and elasto-geometrical error modeling method [8], etc. For the measurement of the error, the approaches can be distinguished into "direct" and "indirect" methods [9].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Local Calibration of a Weak Stiffness On-Machine Measuring Device with a New 3-D Calibrator

Lin

Sui

et al. 2022

SSRN Journal

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Section: Discussionmentioning

confidence: 99%

“…( 5), and Eq. ( 6) is obtained  A JG (5) where A is a new Jacobian matrix about K, and E becomes a generalized linear model. (6) In Eq.…”

Section: = E Jgkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Local Calibration of a Weak Stiffness On-Machine Measuring Device with a New 3-D Calibrator

Lin

Sui

et al. 2022

SSRN Journal

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“…The “S” test piece is mainly used to test the dynamic machining accuracy of the machine tool. 9 Based on the characteristics of complex features such as continuous and discontinuous changes in curvature, opening and closing angles, and twisting angles contained in the “ S ” test piece, 10 Zhong 11 evaluated the machine tool dynamic accuracy under the S -shape motion trajectory. Based on the RTCP function, Jiang 12 proposed an 8-shape motion trajectory and simulated the dynamic accuracy using the established feed axis servo system model.…”

Section: Introductionmentioning

confidence: 99%

Identification method for the dynamic motion error of the rotary axis based on circular and elliptical test piece cutting

Zhang

Xiang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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The rotary axis is crucial for the machining accuracy of five-axis machines, and its motion accuracy is significantly influenced by the dynamic motion error. A test of circular and elliptical test piece cutting is proposed to identify and analyze the dynamic motion error of the rotary axis. The influence of the feed rate on the dynamic motion accuracy is explained. The dynamic motion error can be divided into two types, depending on its source and manifestation: dynamic error inside the servo loop (DEIS) and dynamic error outside the servo loop (DEOS). At different feed rates, elliptical test piece cutting and kinetics analyses are conducted to identify the DEIS, and circular test piece cutting together with double ball bar (DBB) tests are conducted to identify the DEOS. On-machine inspection and the coordinate measuring machine (CMM) calibration are performed. By combining the DBB test and kinetics analysis results, the DEIS and DEOS are identified and analyzed. The experimental verification shows that the DEIS and DEOS change according to the feed rate and can be determined from the machining error of the test piece. Consequently, the proposed method offers an effective reference for improving the motion accuracy of the rotary axis.

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“…Hence, it is necessary to evaluate the error sources in five-axis machine tools. Among all error sources, geometric errors represent the largest proportion (more than 30%) and influence the machining accuracy and directly affect the machining performance of a certain five-axis machine tool [5,6]. Non-machining-and machining-based methods can be applied for geometric error identification.…”

Section: Introductionmentioning

confidence: 99%

Influence of Tool Length and Profile Errors on the Inaccuracy of Cubic-Machining Test Results

Ogata

Sato

et al. 2021

JMMP

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A cubic-machining test has been proposed to evaluate the geometric errors of rotary axes in five-axis machine tools using a 3 × 3 zone area in the same plane with different tool postures. However, as only the height deviation among the machining zones is detected by evaluating the test results, the machining test results are expected to be affected by some error parameters of tool sides, such as tool length and profile errors, and there is no research investigation on how the tool side error influences the cubic-machining test accuracy. In this study, machining inaccuracies caused by tool length and tool profile errors were investigated. The machining error caused by tool length error was formulated, and an intentional tool length error was introduced in the simulations and actual machining tests. As a result, the formulated and simulated influence of tool length error agreed with the actual machining results. Moreover, it was confirmed that the difference between the simulation result and the actual machining result can be explained by the influence of the tool profile error. This indicates that the accuracy of the cubic-machining test is directly affected by tool side errors.

show abstract

An approach for accuracy enhancement of five-axis machine tools based on quantitative interval sensitivity analysis

Cited by 38 publications

References 24 publications

Local Calibration of a Weak Stiffness On-Machine Measuring Device with a New 3-D Calibrator

Local Calibration of a Weak Stiffness On-Machine Measuring Device with a New 3-D Calibrator

Identification method for the dynamic motion error of the rotary axis based on circular and elliptical test piece cutting

Influence of Tool Length and Profile Errors on the Inaccuracy of Cubic-Machining Test Results

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