A new method to identify the position-independent geometric errors in the rotary axes of five-axis machine tools

Osei, Seth; Wang, Wei; Ding, Qicheng

doi:10.1016/j.jmapro.2023.01.001

Cited by 28 publications

(3 citation statements)

References 42 publications

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“…By analyzing the arc trajectory measured by DBB, the motion accuracy of the machine tool can be obtained. Many methods have been proposed to evaluate the motion accuracy of the machine tools using the DBB [11][12][13][14][15][16][17][18]. Zhong et al [19] designed nine circular test paths of the DBB measurement in the XY, YZ and ZX planes of the machine tool, and proposed a spherical deviation measurement method based on circular paths, which can evaluate the volume accuracy of five-axis machine tools.…”

Section: Introductionmentioning

confidence: 99%

Fast detection of geometric errors for three-axis machine tools with combined double-ball bars based on spatial circle detection

Wang,

Yue,

Yang

et al. 2023

Meas. Sci. Technol.

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The geometric accuracy of the CNC machine tools determines the quality of the sculptured mechanical parts. Measuring and compensating the geometric errors of machine tools can effectively improve the machining accuracy. However, traditional measurement methods using a double-ball bar(DBB) can only detect the error along the rod length direction and thus require multiple measurements in three orthogonal planes of the machine tool. This work proposes a fast error detection method for three-axis machine tools using combined double-ball bars (C-DBBs) based on the spatially circular detection (SCD) path. The test path of this method requires the simultaneous linkage of three linear axes of the machine tools and thus could identify 21 geometric errors of the three-axis machine tool. Firstly, the measuring principle of the SCD method is introduced, and the mathematical model for detecting 21 geometric errors of the machine tool based on the SCD method is established. Then, the detection experiment based on the SCD method is carried out, and it is shown that 21 geometric errors of the three-axis machine tool are obtained. Finally, the verification experiment using a traditional DBB is conducted to validate the effectiveness of the proposed SCD method. The radial errors in three orthogonal planes measured by traditional DBB exhibit a good agreement with those predicted using 21 geometric errors obtained by the SCD method. Compared with the traditional DBB method, the proposed SCD method could detect 21 geometric errors of three-axis machine tools in a single measurement. This work provides an effective and efficient methodology for detecting all geometric errors of the three-axis machine tool.

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Section: Introductionmentioning

confidence: 99%

Fast detection of geometric errors for three-axis machine tools with combined double-ball bars based on spatial circle detection

Wang,

Yue,

Yang

et al. 2023

Meas. Sci. Technol.

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show abstract

“…According to ISO 230-1 and ISO 230-7 [11,12], geometric errors can be categorized into position-dependent geometric errors (PDGEs), and position-independent geometric errors (PIGEs), referred to as squareness errors [13]. Compared to PDGEs, PIGEs greatly contribute to the form errors in UPM [14][15][16]. Therefore, more research work has been focused on PIGE identification in UPM.…”

Section: Introductionmentioning

confidence: 99%

A Theoretical and Experimental Identification with Featured Structures for Crucial Position-Independent Geometric Errors in Ultra-Precision Machining

Zhang,

Zhang

2023

Machines

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In ultra-precision machining (UPM), position-independent geometric errors (PIGEs), i.e., squareness errors, have a crucial impact upon the form accuracy of a machined surface. Accordingly, more research work has been conducted in PIGE identification, to improve the form accuracy. However, the general identification methods were developed without consideration of the specific squareness errors for crucial PIGEs under the form errors of the machining process. Therefore, a new method with featured structures was proposed, to identify crucial PIGEs in UPM. Firstly, a volumetric error model was developed for PIGEs, to discuss the relationship between squareness errors and their resulting machining form errors. Secondly, following the developed model, some featured structures have been proposed with their machining form errors, to significantly indicate crucial PIGEs. Finally, a series of UPM and measuring experiments were conducted for the featured structures, and then their machining form errors were measured and extracted with specific squareness errors for the identification of crucial PIGEs. The theoretical and experimental results revealed that the proposed method is simple and efficient with the featured structures to accurately identify crucial PIGEs in UPM. Significantly, the study offers a deep insight into high-quality fabrication in UPM.

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“…In terms of position-independent geometric errors (PIGEs) alone, the errors inherent in the rotation axis account for 73% of the entire five-axis platform. Osei et al 3 pointed out that PIGEs constitute more than 70% of all geometric error sources relevant for the five-axis end-execution accuracy. Considering this, the present study focuses on the detection and compensation of geometric errors in the rotary axis with the aim to improve the execution accuracy of the dispensing trajectory.…”

Section: Introductionmentioning

confidence: 99%

Geometric error calibration and analysis of rotary axes on a five-axis dispensing machine

Yin,

Zhou

2023

Proceedings of the Institution of Mechanical Engineers, Part B:

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Geometric rotary axis errors are one of the main factors affecting the dispensing positioning accuracy of five-axis vision dispensing machines. Hence, the accurate detection and compensation of these error terms is an important and challenging problem. In this study, a decoupling identification method for both position-dependent geometric errors and position-independent geometric errors of a rotary dispensing table is proposed based on vision measurement technology. According to this strategy, the screw theory and exponential product formula are used to establish a kinematic model of the end-effector, followed by the definition of the mapping relationship between position-independent geometric errors and axis posture. Then, to separate the coupling error terms of the rotating axes, a step-by-step identification strategy is proposed based on the least squares method. Furthermore, a coordinate search-based error compensation algorithm is developed, which avoids the inverse singular value problem and is insensitive to the error model. Finally, the effectiveness of the proposed identification algorithm and compensation algorithm is experimentally validated.

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A new method to identify the position-independent geometric errors in the rotary axes of five-axis machine tools

Cited by 28 publications

References 42 publications

Fast detection of geometric errors for three-axis machine tools with combined double-ball bars based on spatial circle detection

Fast detection of geometric errors for three-axis machine tools with combined double-ball bars based on spatial circle detection

A Theoretical and Experimental Identification with Featured Structures for Crucial Position-Independent Geometric Errors in Ultra-Precision Machining

Geometric error calibration and analysis of rotary axes on a five-axis dispensing machine

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