The dimensions of technical products are often of major importance for their proper functioning. Dimensional tolerances define how much the true dimensions may deviate from the aimed dimensions. Dimensional quality control ensures that the dimensional properties of the product comply with the tolerances. For single and non-complex products instruments like vernier calipers and micrometer screw gauges can be used, while for more complex inspection tasks and series measurements usually coordinate measuring machines (CMMs) are used.
Because measurement devices also show measurement errors, a measurement result will never be exact. This means there will always be a measurement uncertainty that should be taken into account while evaluating conformance of products to tolerances. If measurement uncertainty is neglected, this can result in false rejection or false acceptance of products, with possibly far-reaching consequences. Reliable measurement uncertainties are indispensable for unambiguous evaluation of tolerances.
Measurement uncertainty determination for coordinate measuring machines is difficult because of the many uncertainty contributors (CMM hardware errors, temperature, measurement strategy etc.) that are involved. Therefore conventional uncertainty calculation methods, based on analytical propagation of standard uncertainties, can not be applied. Measurement uncertainty determination based on Monte Carlo simulations is a valuable alternative to conventional uncertainty calculation methods. These methods can cope much better with the complexity of CMM measurements.
Steps:
1. Literature research for the use Monte Carlo simulations for the determination of measurement uncertainties of CMMs
2. Development of etalons and determination of factors affected by the CMM measurement process
3. Modell development for the determination of measurement uncertainty for dimensional measurement of CMMs
The equipments are available at Bánki Donát Faculty, Óbuda University.
Advantages: use of statistical software, CAD/CAM software and MatLab
Leader: Dr. Ágota Drégelyi-Kiss, associate professor, Óbuda University
Jelentkezési határidő: 2018-05-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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