Prediction and Compensation of Dynamic Errors for Coordinate Measuring Machines

2002 ◽  
Vol 124 (3) ◽  
pp. 509-514 ◽  
Author(s):  
Chensong Dong ◽  
Chuck Zhang ◽  
Ben Wang ◽  
Guoxiong Zhang

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.

2000 ◽  
Author(s):  
Chensong Dong ◽  
Chuck Zhang ◽  
Ben Wang ◽  
Guoxiong Zhang

Abstract Coordinate measuring machines (CMMs) are already widely used as a measuring tool in the manufacturing industry. Fast probing is now the trend for next generation CMMs. However, increases in the measuring velocity of CMMs are limited by dynamic errors that occur in CMMs. In this paper, theoretical analysis and experimental research is used to create a systematic approach for modeling the dynamic errors of a touch-trigger probe CMM. First, an overall analysis of the dynamic errors of CMMs is given, and methods to improve the stiffness of air bearings are presented. Weak elements of the CMM are identified with a laser interferometer. The probing process, as conducted with a touch-trigger probe, is analyzed and dynamic errors are measured. Based on these analyses, the dynamic errors in touch-trigger probing are modeled using neural networks. In turn, dynamic errors are predicted. An approach to achieving software error compensation is discussed. Finally, the method and results from this study illustrate that it is possible to compensate for dynamic errors of CMMs.


2003 ◽  
Vol 125 (4) ◽  
pp. 831-839 ◽  
Author(s):  
Chensong Dong ◽  
Chuck Zhang ◽  
Ben Wang ◽  
Guoxiong Zhang

Coordinate measuring machines (CMMs) are already widely utilized as measuring tools in the modern manufacturing industry. Fast and accurate probing is the current trend for the next generation of CMMs. However, measuring velocity of CMM applications are limited by dynamic errors that occur in CMMs. In this paper, the dynamic errors of coordinate measuring machines are analyzed theoretically and experimentally. The limited stiffness of air bearings were found to cause dynamic errors due to the existence of Abbe’s offsets. The characteristics of the air bearings used on CMMs were modeled by the finite element analysis (FEA). The load capacity and stiffness of the air bearings were computed. Using this model, the dynamic errors of the CMM were reduced through revising the air bearing design. To verify the effectiveness of this approach, the performance of the air bearings was tested both statically and dynamically. The results show that the dynamic errors can be significantly reduced.


2011 ◽  
Vol 130-134 ◽  
pp. 2316-2320
Author(s):  
Ke Zhang ◽  
Zheng Xing Cui ◽  
Li Ya Gai ◽  
Peng Ge ◽  
Dong Gao Cai

NC machine plays an irreplaceable role in the modern manufacturing because of its high machining processing accuracy, quality stable, flexibility. Through using the Renishaw ML10 laser interferometer detect the positioning accuracy and repositioning accuracy of X axis and Z axis of the HTC20 series of NC machine tools. According to the detection result compensate NC system to meet the machining accuracy requirement. The result shows that the error compensation of NC system is a effective method to improve the position accuracy of NC machine.


Structures ◽  
2021 ◽  
Vol 34 ◽  
pp. 2996-3012
Author(s):  
Hongyuan Zhou ◽  
Houzhan Zhou ◽  
Xiaojuan Wang ◽  
Wanlin Cao ◽  
Tianyi Song ◽  
...  

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