Modeling and compensation of volumetric errors for five-axis machine tools

Xiang, Sitong; Altintaş, Yusuf

doi:10.1016/j.ijmachtools.2015.11.006

Cited by 195 publications

(72 citation statements)

References 25 publications

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“…The measurement methods based on DBB mainly focus on the errors of rotary axes. (11,12) However, the measurement error due to fixing multiple times is the shortage of DBB. In contrast, the R-test only needs one fixing and can achieve a rapid measurement.…”

Section: Introductionmentioning

confidence: 99%

Method of Evaluating Dynamic Accuracy of Five-axis Machine Tool Based on Test Piece and Comprehensive Evaluation System

Song¹,

Dai²,

Li³

et al. 2020

Sensors and Materials

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To improve the dynamic accuracy of a five-axis machine tool, an evaluation method based on a test piece and a comprehensive evaluation (CE) system is proposed in this paper. The test pieces, namely, cone frustum and S test piece, in ISO 10791-7 are compared to show their ability to reflect the dynamic accuracy. After the comparison, the S test piece is selected owing to its various changes in contour error under different dynamic accuracies. The kinematic and dynamic simulation model is established to affect the effects of the various dynamic factors on the S test piece. The relationship between the dynamic factors and the S test piece is applied to the construction of a CE system. Then, the evaluation of the dynamic accuracy of the fiveaxis machine tool can be completed. On the basis of the evaluation result, the error is identified to determine the factors that must be adjusted. Thus, the dynamic accuracy of the fiveaxis machine tool can be improved by the adjustment. The proposed method is validated by experiments.

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Section: Introductionmentioning

confidence: 99%

Method of Evaluating Dynamic Accuracy of Five-axis Machine Tool Based on Test Piece and Comprehensive Evaluation System

Song¹,

Dai²,

Li³

et al. 2020

Sensors and Materials

View full text Add to dashboard Cite

show abstract

“…Therefore, the key factor to identify the geometric error is to correctly establish the mathematical model between the cutting tool processing point and the worktable processing point. At present, the commonly used error modeling methods are based on homogenous transformation matrix (HTM) [10][11][12] or screw theory [13][14]. A global description of rigid body motion is allowed with the screw theory, this is the advantage and difference from HTM method.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, in this paper, a new method for error identification of rotary axis is proposed, which is effective and uncomplicated to improve the accuracy of error compensation. According to Ref [13] and Ref [15], the position-independent geometric errors are caused by the deviation between the actual machine tool installation and the ideal installation. Thus, in this paper, these positionindependent geometric errors are regarded as a fixed size impact to related Accuracy of shaft movement.…”

Section: Introductionmentioning

confidence: 99%

A method for identifying and predicting the geometric errors of a rotating axis

Fan¹,

Wang²,

Tao³

et al. 2020

Preprint

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To improve the machine tool accuracy, an integrated geometric error identification and prediction method is proposed to eliminate the positioning inaccuracy of tool ball for a double ball bar (DBB) caused by the rotary axis’ geometric errors in a multi-axis machine tool. In traditional geometric errors identification model based on homogenous transformation matrices (HTM), the elements of position-dependent geometric errors(PDGEs) are defifined in the local frames attached to the axial displacement, which is inconvenient to do redundance analysis. Thus, this paper proposed an integrated geometric error identification and prediction method to solve the uncertainty problem of the PDGEs of rotary axis. First, based on homogeneous transform matrix (HTM) and multi-body system (MBS) theory, The transfer matrix only considering the rotary axes is derived to determine the tool point position error model. Then a geometric errors identification of rotary axis is introduced by measuring the error increment in three directions. Meanwhile the geometric errors of C-axis are described as position-dependent truncated Fourier polynomials caused by fitting discrete values. Thus, The geometric error identification is converted to the function coefficient. Finally, the proposed new prediction and identification model of PDGEs in the global frame are verified through simulation and experiments with double ball-bar tests.

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“…The two types of geometric error models were represented as polynomial equations with first-order continuity and n-order polynomial equations with constant terms, but the installation error of the measuring instrument was high, which affected the accuracy of the model. Xiang et al [18] used the theory of rotational motion to establish a model for the comprehensive error of five-axis machine tools with 41 errors. However, these models did not consider the influence of the motion of one rotating axis on the position error of another rotating axis after the long-term operation of five-axis machines.…”

Section: Introductionmentioning

confidence: 99%

Geometric Error Identification and Analysis of Rotary Axes on Five-Axis Machine Tool Based on Precision Balls

Liu

et al. 2019

Applied Sciences

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This paper presents the design of a precise "ball-column" device to efficiently and accurately measure the geometric error terms of both rotary axes of the five-axis machine tool. A geometric error measurement method of spherical contact was proposed based on the influence of the geometric error term from a five-axis machine tool rotating axis on the integrated geometric error of the machine tool. A multiple degree of freedom, step-by-step contact method based on on-machine measure for measuring the spherical center point is proposed, and the solution formula of each geometric error term of the rotating axis is established, respectively. This method can identify 12 geometric errors based on the influence of one rotating axis on another rotating axis after long term operation. The spatial error field of the five-axis machine tool was constructed by analyzing the error law of the two rotating axes of machine tools based on various positions and postures. Finally, after the comparison of the experiment, the results showed that the accuracy of the developed error measurement device reached 91.8% and the detection time was as short as 30-40 min.

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Modeling and compensation of volumetric errors for five-axis machine tools

Cited by 195 publications

References 25 publications

Method of Evaluating Dynamic Accuracy of Five-axis Machine Tool Based on Test Piece and Comprehensive Evaluation System

Method of Evaluating Dynamic Accuracy of Five-axis Machine Tool Based on Test Piece and Comprehensive Evaluation System

A method for identifying and predicting the geometric errors of a rotating axis

Geometric Error Identification and Analysis of Rotary Axes on Five-Axis Machine Tool Based on Precision Balls

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