Symmetrically associated combination method for accuracy verification of Coordinate Measuring Machines

Hongtao Wang; Xiaohuai Chen; Yetai Fei

doi:10.1117/12.811288

12 January 2009 Symmetrically associated combination method for accuracy verification of Coordinate Measuring Machines

Hongtao Wang, Xiaohuai Chen, Yetai Fei

Proceedings Volume 7133, Fifth International Symposium on Instrumentation Science and Technology; 713305 (2009) https://doi.org/10.1117/12.811288
Event: International Symposium on Instrumentation Science and Technology, 2008, Shenyang, China

Abstract

The paper is enlightened by the traditional combination verification method, provides a new detection way to CMM which is the combination of space one-dimension balls combination. It uses one-dimension balls instead of the standard ruler of the tradition combination verification method, adopts special researched detection equipment to CMM making one-dimension balls to three-dimension. The CMM processes the space random line with symmetry associating and comparing measurement method, and then uses the least-squares method to the measured data to obtain the measurement error of the space line, consequently realizes the measurement accuracy detection of the CMM.

Citation Download Citation

Hongtao Wang, Xiaohuai Chen, and Yetai Fei "Symmetrically associated combination method for accuracy verification of Coordinate Measuring Machines", Proc. SPIE 7133, Fifth International Symposium on Instrumentation Science and Technology, 713305 (12 January 2009); https://doi.org/10.1117/12.811288

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available