Kinematic Chain Optimization Design Based on Deformation Sensitivity Analysis of a Five-Axis Machine Tool

Zhang, Shuyou; He, Ci; Liu, Xiaojian; Xu, Jinghua; Sun, Yanqiang

doi:10.1007/s12541-020-00421-w

Cited by 10 publications

(6 citation statements)

References 49 publications

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“…This paper proposes a new SA method to quantify the impact of geometric error on the machining accuracy and extract the key geometric errors. By comparison with the existing SA methods [14][15][16][17][18][19][20][21][22][23][24][25][26], the superiorities of the new SA method are listed as follows: (1) A novel sensitivity index is proposed to solve the problem that the SA results of angular error and linear error need compared separately, which significantly simplifies the SA procedures and improves the computational efficiency. ( 2) The proposed SA model takes into account the characteristic of geometric error changes with different machining positions, which solves the problem that the universality of SA results obtained by assuming all the angular errors and linear errors have the same value is poor.…”

Section: Discussionmentioning

confidence: 99%

“…The key geometric errors were identified, which applied in accuracy design and error compensation. Zhang et al [21] established the machining error model based on homogeneous transformation matrices to describe the impact of deformation error on the machining error. Then, the sensitivity coefficient of deformation errors is calculated based on the machining error model.…”

Section: Introductionmentioning

confidence: 99%

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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

Section: Discussionmentioning

confidence: 99%

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

View full text Add to dashboard Cite

show abstract

“…This paper proposes a new SA method to quantify the influence degree of geometric error on the machining accuracy and extract the key geometric error components. By comparison with the existing SA methods [14][15][16][17][18][19][20][21][22][23][24][25][26], the superiorities of the new SA method are listed as follows: (1) A novel sensitivity index is proposed to solve the problem that the SA results of angular error and linear error need compared separately, which significantly simplified the SA procedures and improves the computational efficiency.…”

Section: Discussionmentioning

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

“…Equations are solved to obtain the comprehensive mathematical model containing various errors. The traditional error model is as follows [25][26][27]:…”

Section: Modeling Methodsmentioning

confidence: 99%

Modeling method of CNC tooling volumetric error under consideration of Abbé error

Chen

Zhang

Wang

et al. 2022

Int J Adv Manuf Technol

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The Abbé error is a key factor for high-precision CNC machine tools. Unluckily, it is not taken into account in traditional machine tool volumetric error models. In this respect, based on the traditional machine tool volumetric error models, a new machine tool volumetric error model containing Abbé error is performed by analyzing the mechanism of Abbé error formation tool volumetric and based on 21-item geometric error measurement data, Abbé arm, and angle functional relationship. Moreover, integrated qualitative and quantitative simulation method for evaluation of machine tool space precision are correspondingly presented. Finally, an example was utilized to further verify the value of our model by means of analysis and comparison of the tooling precision prior to and after performance of compensation, and its validity and feasibility were proved. This study provides an important modeling method for high-precision machine tools and has very important theoretical significance and practical value.

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Kinematic Chain Optimization Design Based on Deformation Sensitivity Analysis of a Five-Axis Machine Tool

Cited by 10 publications

References 49 publications

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

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

Modeling method of CNC tooling volumetric error under consideration of Abbé error

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