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12 January 2018 An in-situ measuring method for planar straightness error
Xi Chen, Luhua Fu, Tongyu Yang, Changku Sun, Zhong Wang, Yan Zhao, Changjie Liu
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Proceedings Volume 10621, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems; 106211J (2018) https://doi.org/10.1117/12.2295244
Event: International Conference on Optical Instruments and Technology 2017, 2017, Beijing, China
Abstract
According to some current problems in the course of measuring the plane shape error of workpiece, an in-situ measuring method based on laser triangulation is presented in this paper. The method avoids the inefficiency of traditional methods like knife straightedge as well as the time and cost requirements of coordinate measuring machine(CMM). A laser-based measuring head is designed and installed on the spindle of a numerical control(NC) machine. The measuring head moves in the path planning to measure measuring points. The spatial coordinates of the measuring points are obtained by the combination of the laser triangulation displacement sensor and the coordinate system of the NC machine, which could make the indicators of measurement come true. The method to evaluate planar straightness error adopts particle swarm optimization(PSO). To verify the feasibility and accuracy of the measuring method, simulation experiments were implemented with a CMM. Comparing the measurement results of measuring head with the corresponding measured values obtained by composite measuring machine, it is verified that the method can realize high-precise and automatic measurement of the planar straightness error of the workpiece.
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Xi Chen, Luhua Fu, Tongyu Yang, Changku Sun, Zhong Wang, Yan Zhao, and Changjie Liu "An in-situ measuring method for planar straightness error", Proc. SPIE 10621, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 106211J (12 January 2018); https://doi.org/10.1117/12.2295244
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KEYWORDS
Sensors
Calibration
Particle swarm optimization
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