Standardised Reference Data Sets Generation for Coordinate Measuring Machine (CMM) Software Assessment |
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Authors: | Y-J Lin K Damodharan C Shakarji |
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Affiliation: | (1) Department of Mechanical Engineering, The University of Akron, Akron, OH, USA, US;(2) NIST, Gaithersburg, MD, USA, US |
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Abstract: | Rapid and accurate in-process measurement has recently become more common in product cycles, especially for producing parts
having 3D contoured shapes. As a result, the ability to analyse large quantities of dimensional data requires today’s coordinate
measuring machines (CMM) to employ their extreme functionality. With the increasing demand for performance of the software
supplied for a CMM, the testing methods for these software packages must be rigorous, stable, and efficient. Motivated by
the aforementioned demand, this work is intended to design and develop an algorithm and computer code to generate the reference
data sets representing the coordinates of Gaussian associated features for CMM measured parts. These reference data sets can
be used to test the CMM software submitted for approval to the National Institute of Standards and Technology (NIST). A generic
algorithm for the development of the data sets is proposed and the program code is designed and developed by employing object
oriented concepts. Dynamic errors during measurement are also accounted for, using Fourier harmonics representing the form
errors and noise in the measured data. The data sets, being an integral part of the proposed International Standard – ISO
10360, will become a significant step towards the standardisation of software testing procedures for coordinate measuring
machines. |
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Keywords: | : CMM measurement data CMM software assessment Form errors and noise Reference data generation |
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