Vision-Based Measurement of Two-Dimensional Positioning Errors of Machine Tools

Ibaraki, Soichi; Tanizawa, Yusuke

doi:10.1299/jamdsm.5.315

Cited by 26 publications

(8 citation statements)

References 14 publications

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“…To solve this problem, a binocular vision-based scheme was proposed in our previous work [15], which realizes spatial contouring error detection of a small-scale equiangular spiral with a range of 45 mm × 45 mm at a maximum feed rate of 2 m/min. Compared with the existing vision-based work [14], satisfactory 3D contouring error detection is achieved. However, the use of two cameras increases the measurement costs, as well as the difficulty in measuring target changes which involve a change in distance under condition that the common DOF is small.…”

Section: Introductionmentioning

confidence: 93%

“…In terms of the ISO 230 series, this year, the ISO/TR 230-11:2018 [5] norm was released to specify the measurement devices suitable for geometry testing of machine tools. To summarize the state-of-the-art ISO standards and research studies, equipment used for dynamic performance assessment under unloaded conditions can be categorized into telescoping ballbar [6,7], cross-grid encoder [8,9], R-test [10,11], laser tracker [12,13] and machine vision technology [14,15,16].…”

Section: Introductionmentioning

confidence: 99%

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A Knowledge-Driven Approach for 3D High Temporal-Spatial Measurement of an Arbitrary Contouring Error of CNC Machine Tools Using Monocular Vision

Liu

Pan

et al. 2019

Sensors

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Periodic health checks of contouring errors under unloaded conditions are critical for machine performance evaluation and value-added manufacturing. Aiming at breaking the dimension, range and speed measurement limitations of the existing devices, a cost-effective knowledge-driven approach for detecting error motions of arbitrary paths using a single camera is proposed. In combination with the PNP algorithm, the three-dimensional (3D) evaluation of large-scale contouring error in relatively high feed rate conditions can be deduced from a priori geometrical knowledge. The innovations of this paper focus on improving the accuracy, efficiency and ability of the vision measurement. Firstly, a camera calibration method considering distortion partition of the depth-of-field (DOF) is presented to give an accurate description of the distortion behavior in the entire photography domain. Then, to maximize the utilization of the decimal involved in the feature encoding, new high-efficient encoding markers are designed on a cooperative target to characterize motion information of the machine. Accordingly, in the image processing, markers are automatically identified and located by the proposed decoding method based on finding the optimal start bit. Finally, with the selected imaging parameters and the precalibrated position of each marker, the 3D measurement of large-scale contouring error under relatively high dynamic conditions can be realized by comparing the curve that is measured by PNP algorithm with the nominal one. Both detection and verification experiments are conducted for two types of paths (i.e., planar and spatial trajectory), and experimental results validate the measurement accuracy and advantages of the proposed method.

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Section: Introductionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

A Knowledge-Driven Approach for 3D High Temporal-Spatial Measurement of an Arbitrary Contouring Error of CNC Machine Tools Using Monocular Vision

Liu

Pan

et al. 2019

Sensors

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show abstract

“…Its application to machine tools error calibration can be found in many works [73][74][75][76][77]. Vision-based measurement of a grid has the advantage of performing measurement even when the target is rotated [78].…”

Section: Measurement Of Artifactsmentioning

confidence: 99%

Indirect Measurement of Volumetric Accuracy for Three-Axis and Five-Axis Machine Tools: A Review

Ibaraki¹,

Knapp²

2012

Int. J. Automation Technol.

Self Cite

220

100

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The volumetric accuracy of machine tools is represented by a map of position and orientation error vectors of the tool over the volume concerned. Numerical compensation for volumetric error is possible in many latest commercial CNCs for machine tools. This paper reviews indirect measurement schemes for machine tool kinematics, in which the tool center position is measured as the superposition of error motions of linear or rotary axes. Each error motion can be separately identified by best-fitting a set of measured tool center positions to the kinematic model of machine tools. Indirect measurement schemes for the kinematics of three orthogonal linear axes, as well as the fiveaxis kinematics with two rotary axes, will be reviewed.

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“…Thus, it can be seen that the topics covered in the two conferences are of great importance to CNC machine tool end users [8]. To summarize the current standards and state of the art, the equipment used to evaluate the dynamic performance of machine tools in unloaded conditions is categorized into double ballbar [9,10], crossgrid encoder [11,12], R-test [13,14], laser tracker [15,16], and machine vision technology [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Binocular vision-based 3D method for detecting high dynamic and wide-range contouring errors of CNC machine tools

Li¹,

Liu²,

Pan³

et al. 2019

Meas. Sci. Technol.

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Periodic checking for contouring error in unloading conditions can effectively evaluate the dynamic performance of machining centers. Existing measurement devices have limitations in the high accuracy three-dimensional (3D) measurement of arbitrary contouring errors (e.g. ballbar and cross-grid encoder). Thus, in this paper, a cost-effective binocular vision-based 3D method for detecting high dynamic and wide-range contouring error of computer numerical control machine tools is proposed. With this method, the strobe lighting method is first presented to suppress the blurring effect of the newly designed 1024 coded targets that were embedded in the measurement fixture. Thereafter, an encoding and decoding method based on finding the optimal initial non-encoding region is proposed to automatically identify, match, and reconstruct the time-varying targets. Then, to enhance the performance of the vision system, a calculated method based on three visible non-collinear coded targets is presented to deduce the dynamic and large-scale contouring error. Finally, contouring error detection experiments are carried out in a self-built five-axis machine tool to validate the advantages of the method. Both the proposed vision method and cross-grid encoder are used to measure contouring errors of three types of trajectories under different feed rates. By comparing the difference between the two trajectories measured by the two devices, the experimental results illustrate that the mean vision detection error at 7 m min−1 is about 4.3 µm, which verifies the accuracy and effectiveness of the proposed vision measurement method.

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Vision-Based Measurement of Two-Dimensional Positioning Errors of Machine Tools

Cited by 26 publications

References 14 publications

A Knowledge-Driven Approach for 3D High Temporal-Spatial Measurement of an Arbitrary Contouring Error of CNC Machine Tools Using Monocular Vision

A Knowledge-Driven Approach for 3D High Temporal-Spatial Measurement of an Arbitrary Contouring Error of CNC Machine Tools Using Monocular Vision

Indirect Measurement of Volumetric Accuracy for Three-Axis and Five-Axis Machine Tools: A Review

Binocular vision-based 3D method for detecting high dynamic and wide-range contouring errors of CNC machine tools

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