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Research on a Machine Measurement Calibration Method Based on Laser Displacement Measurement

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DOI: 10.23977/jemm.2023.080304 | Downloads: 15 | Views: 472

Author(s)

Liu Hai 1

Affiliation(s)

1 Wuchang Shouyi College, Wuhan, 430064, China

Corresponding Author

Liu Hai

ABSTRACT

Large irregular thin-walled components such as aviation structural components and aerospace structural components have large size specifications, complex structures, multiple machining features, and high accuracy requirements. During the machining process, the workpiece is prone to deformation, and product inspection and quality control are extremely important. In the operation process of industrial robot processing systems, frequent replacement of end tools and various vibrations and collisions during processing can cause tool positions to shift. Therefore, before operating the processing system, it is necessary to implement reasonable calibration of the true position of the end tools of the robot to ensure that the processing system has the necessary positioning accuracy. The use of traditional methods for error calibration of sensors without considering the measurement and processing of sensor displacement information leads to large errors in nonlinear error calibration results and poor calibration results. In response to this issue, this article proposes a method of using laser displacement sensors to autonomously calibrate the robot tool coordinate system. The principle is simple, reliable, highly automated, and easy to implement. This method achieves synchronous movement of the laser displacement sensor and the digital height gauge by developing a synchronous measuring fixture device, and eliminates installation errors by using a two axis fine adjustment device.

KEYWORDS

Laser displacement measurement; Machine measurement; Calibration method

CITE THIS PAPER

Liu Hai, Research on a Machine Measurement Calibration Method Based on Laser Displacement Measurement. Journal of Engineering Mechanics and Machinery (2023) Vol. 8: 23-27. DOI: http://dx.doi.org/10.23977/jemm.2023.080304.

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