Coordinate measuring machines (CMMs) are already widely utilized as measuring tools in the modern manufacturing industry. Rapidly approaching now is the trend for next-generation CMMs. However, the increases in measuring velocity of CMM applications are limited by dynamic errors that occur in CMMs. In this paper, a systematic approach for modeling the dynamic errors of a touch-trigger probe CMM is developed through theoretical analysis and experimental study. An overall analysis of the dynamic errors of CMMs is conducted, with weak components of the CMM identified with a laser interferometer. The probing process, as conducted with a touch-trigger probe, is analyzed. The dynamic errors are measured, modeled, and predicted using neural networks. The results indicate that, using this mode, it is possible to compensate for the dynamic errors of CMMs.
Prediction and Compensation of Dynamic Errors for Coordinate Measuring Machines
Contributed by the Manufacturing Engineering Division for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. Manuscript received July 2000; Revised Nov. 2001. Associate Editor: T. Kurfess.
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Dong , C., Zhang , C., Wang, B., and Zhang, G. (July 11, 2002). "Prediction and Compensation of Dynamic Errors for Coordinate Measuring Machines ." ASME. J. Manuf. Sci. Eng. August 2002; 124(3): 509–514. https://doi.org/10.1115/1.1465435
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