Haein T. Method and inspection path for the metrological validation of the coordinate-measuring machine

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0415U002206

Applicant for

Specialization

  • 05.11.01 - Прилади та методи вимірювання механічних величин

28-04-2015

Specialized Academic Board

Д 41.113.01

ODESSA STATE ACADEMY OF TECHNICAL REGULATION AND QUALITY

Essay

In dissertation theses are analysed existing science technical literature about conventional methods and techniques for metrological inspection the high precisely measuring and controlling equipment for а support of the control reliability the linear-angle parameters of complex dimensional geometry details. For comprehensive metrological inspection of CMMs is in this work is proposed a new artefact, realized as an inspection plate with the set of simple geometrical figures, attested high accuracy, and located according Fibonacci concept on. Such panel make possible to control not only the linear but also angles parameters and make CMM's parametrical errors estimation. According to the experiments in the dissertation was developed stochastic and parametric mathematical model of the CMMs measurement error, based on variation method of mechanical knots estimation, allow for stochastic variations and considering thermal and humidity influences. These influences were simulated and monitored using Thermotron environmental test chamber. Result equations combines GTM matrixes and transformations, regression models and ANOVA methods. Results are discussed in 31 science publications and compared to the ones obtained from measurement sets of a ring gauge. Obtained model show an good ability to predict volumetric and dimensional errors of the CMM. Comparing analysis showed, that errors were reduced by at least 21%, and confirms the correctness of the selected strategy. Key words: control reliability, measuring error, mechanical parameters, metrological validation, coordinate-measuring machine (CMM), measuring uncertainty.

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