document: Prediction and compensation of dynamic errors for coordinate measuring machines Coordinate measuring machines -LRB- CMMs -RRB- are already widely utilized as measuring tools in the modem 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 by 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
doc_bio_tags: O O B O B I O B I I B I I O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O B I O O O O O O O O B I O O O O O O O O O O O O O O O O O B I O O
extractive_keyphrases: coordinate measuring machines dynamic errors laser interferometer neural networks manufacturing industry compensation
abstractive_keyphrases: inertial forces touch-trigger probe