Publication detail

MEASUREMENT UNCERTAINTY SIMULATION BY MONTE CARLO METHOD IN NANOMETROLOGY

ŠRÁMEK, J. JANKOVÝCH, R.

Original Title

MEASUREMENT UNCERTAINTY SIMULATION BY MONTE CARLO METHOD IN NANOMETROLOGY

Type

journal article in Web of Science

Language

English

Original Abstract

This paper deals with the determination of uncertainty and individual contributions to the measurement uncertainty on the CMM SIOS NNM-1 instrument fitted with the touch-probe scanning system Gannen XP. Manufacturer SIOS designates this machine as nano-CMM. Two non-simulation methods to determine the measurement uncertainty, the substitution and multi-position methods are addressed in detail [Sramek, Jankovych 2018]. Ruby balls with various nominal diameters are used as the measured objects. One simulation method to determine the measurement uncertainty, the Monte Carlo method, is also addressed in this paper. The paper also summarizes and specifies calculation methods to determine the measurement uncertainty, and provides results of representative sets of measurements, including determination of the expanded measurement uncertainty. This paper contains novel conclusions in the area of uncertainty measurement of nano-CMMs.

Keywords

accuracy of measurement, length measurement, measurement repeatability, measurement reproducibility, measurement uncertainty, measuring device, nanometrology, ruby ball

Authors

ŠRÁMEK, J.; JANKOVÝCH, R.

Released

1. 10. 2019

Publisher

Modern Machinery (MM) Science Journal

Location

ČR

ISBN

1805-0476

Periodical

MM Science Journal

Year of study

Oct 2019

Number

3

State

Czech Republic

Pages from

2998

Pages to

3004

Pages count

6

URL

https://www.mmscience.eu/journal/issues/October%202019/articles/measurement-uncertainty-simulation-by-monte-carlo-method-in-nanometrology

BibTex

@article{BUT162066,
  author="Jan {Šrámek} and Róbert {Jankových}",
  title="MEASUREMENT UNCERTAINTY SIMULATION BY MONTE CARLO METHOD IN NANOMETROLOGY",
  journal="MM Science Journal",
  year="2019",
  volume="Oct 2019",
  number="3",
  pages="2998--3004",
  doi="10.17973/MMSJ.2019\{_}10\{_}2018112",
  issn="1805-0476",
  url="https://www.mmscience.eu/journal/issues/October%202019/articles/measurement-uncertainty-simulation-by-monte-carlo-method-in-nanometrology"
}