A Comparative Experimental Study of an Alternative CMM Error Model under Least-squares and Minimum Zone Fittings for Industrial Measuring

Abstract CMMs are main measuring instruments in both laboratories and verification rooms in industries. Recognized international standards support their performance tests, bounding the permissible error and their repeatability. We propose a new model of error by machine axis, estimating errors from standard performance tests. An experimental study is conducted through the least-squares and minimum zone fitting algorithms to get the substitution geometry with calibrated gages. The comparison results of both fittings and the proposed model behavior endorse the new model thus facilitating the expression of a measurement under the standard maximum permissible error of CMMs. The performance comparison of the capabilities of the two fitting algorithms is discussed for practical recommendations. Both results contribute to a better understanding and profitable use of CMMs machines.

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