通过基于视觉的机床圆周测试对方正度识别进行精度评估

IF 3.2 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Cirp Annals-Manufacturing Technology Pub Date : 2024-01-01 DOI:10.1016/j.cirp.2024.04.089
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引用次数: 0

摘要

评估了通过基于视觉的圆形测试识别机床垂直度的准确性。对方正度识别的不确定性进行了评估,以明确相机校准和设置的精度标准。模拟和实验结果表明,照相机偏斜系数造成的不确定性占主导地位。使用棋盘格板进行的传统校准是不够的。与此相反,由于校准误差不大,实验装置对精度要求不高。获得的结果表明,基于视觉的测试具有近似快速识别方正度的潜力。
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Accuracy evaluation of squareness identification by vision-based circular tests for machine tools

The accuracy of the identification of machine tool squareness by the vision-based circular test was evaluated. The uncertainty in the squareness identification was evaluated to clarify the accuracy criteria for camera calibration and setup. The simulation and experimental results revealed that the uncertainty owing to the skew factor of the camera was dominant. The conventional calibration performed using a checkerboard plate was insufficient. In contrast, the experimental setup did not require a high accuracy because the alignment error was not significant. The obtained results demonstrated the potential of the vision-based test for an approximate and rapid identification of squareness.

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来源期刊
Cirp Annals-Manufacturing Technology
Cirp Annals-Manufacturing Technology 工程技术-工程:工业
CiteScore
7.50
自引率
9.80%
发文量
137
审稿时长
13.5 months
期刊介绍: CIRP, The International Academy for Production Engineering, was founded in 1951 to promote, by scientific research, the development of all aspects of manufacturing technology covering the optimization, control and management of processes, machines and systems. This biannual ISI cited journal contains approximately 140 refereed technical and keynote papers. Subject areas covered include: Assembly, Cutting, Design, Electro-Physical and Chemical Processes, Forming, Abrasive processes, Surfaces, Machines, Production Systems and Organizations, Precision Engineering and Metrology, Life-Cycle Engineering, Microsystems Technology (MST), Nanotechnology.
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